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Author SHA1 Message Date
Jim Liu 宝玉 7fd9e51fc2 Fix WeChat image upload fallback and WebP clipboard 2026-05-16 22:33:07 -05:00
Jim Liu 宝玉 a5d227b4e8 Merge pull request #154 from zhangga/codex/fix-wechat-browser-article-publish
Fix WeChat browser article publishing reliability
2026-05-16 22:29:28 -05:00
zeqiang.zhang 81377416b4 Fix WeChat browser article publishing 2026-05-16 22:47:41 +08:00
Jim Liu 宝玉 a44bb08360 chore: release v1.117.0 2026-05-16 00:51:34 -05:00
Jim Liu 宝玉 a07669136c feat(baoyu-xhs-images): sync batch generation policy from baoyu-image-cards 2026-05-16 00:50:36 -05:00
Jim Liu 宝玉 b7298a60c6 feat(baoyu-slide-deck): add batch generation policy with configurable batch size 2026-05-16 00:50:33 -05:00
Jim Liu 宝玉 309f078efb feat(baoyu-image-cards): add batch generation policy with configurable batch size 2026-05-16 00:50:30 -05:00
Jim Liu 宝玉 8958ba5409 feat(baoyu-comic): add batch generation policy with configurable batch size 2026-05-16 00:50:28 -05:00
Jim Liu 宝玉 e6612628dc feat(baoyu-article-illustrator): add batch generation policy with configurable batch size 2026-05-16 00:50:25 -05:00
Jim Liu 宝玉 bd5745f837 chore: release v1.116.5 2026-05-14 01:49:35 -05:00
Jim Liu 宝玉 cb26732559 refactor(baoyu-post-to-wechat): harden Telegram QR notification
- Add 10s timeout to Telegram fetch so unreachable api.telegram.org
  doesn't block waitForLogin indefinitely.
- Move 2s QR-render wait inside sendQrToTelegram, after the env-var
  early return, so the no-op path doesn't pay the delay.
- Use viewport screenshot (captureBeyondViewport: false) as fallback
  to reduce payload size and keep the QR scannable.
2026-05-14 01:45:58 -05:00
孙斌锋 9baf570caa feat(baoyu-post-to-wechat): send WeChat login QR code to Telegram (#150)
When `TELEGRAM_BOT_TOKEN` and `TELEGRAM_CHAT_ID` env vars are set,
the browser login flow automatically sends the WeChat QR code image
to the configured Telegram chat so headless / remote runs don't need
a screen to scan the code.

Strategy (in priority order):
1. Extract QR img.src from known DOM selectors
2. If URL-based src: re-fetch inside Chrome to carry session cookies
3. Fallback: full-page CDP screenshot

Feature is fully opt-in: skipped silently when env vars are absent.

Co-authored-by: Before SUN <beforesun@BeforedeMac-mini.local>
2026-05-14 01:21:45 -05:00
Jim Liu 宝玉 f99815cec9 chore: release v1.116.4 2026-05-14 01:10:54 -05:00
Jim Liu 宝玉 8f0663d515 refactor(baoyu-wechat-summary): streamline roast version prompts 2026-05-14 01:10:51 -05:00
Jim Liu 宝玉 20ebf6126c chore: release v1.116.3 2026-05-13 22:33:29 -05:00
Jim Liu 宝玉 64db328e61 docs: replace Claude Code references with Agent in READMEs 2026-05-13 22:33:16 -05:00
Jim Liu 宝玉 a3819b8e30 chore: release v1.116.2 2026-05-13 22:30:54 -05:00
Jim Liu 宝玉 234c2a832b docs(baoyu-wechat-summary): update example group name in SKILL.md 2026-05-13 22:30:38 -05:00
Jim Liu 宝玉 7943eb7b05 chore: release v1.116.1 2026-05-13 22:28:34 -05:00
Jim Liu 宝玉 4b4a4d3863 feat(baoyu-wechat-summary): add data_root to first-time setup flow 2026-05-13 22:28:13 -05:00
Jim Liu 宝玉 919849c863 chore: release v1.116.0 2026-05-13 22:18:01 -05:00
Jim Liu 宝玉 1faee80da4 feat(baoyu-wechat-summary): add WeChat group chat summary skill 2026-05-13 22:16:39 -05:00
Jim Liu 宝玉 dea9322d0d chore: release v1.115.4 2026-05-11 18:45:31 -05:00
Jim Liu 宝玉 86b1be83b8 docs(image-generation): emphasize Codex imagegen priority and forbid SVG/HTML substitution
Strengthen the shared image-generation backend selection rule:
- Codex `imagegen` MUST be used when listed in the available-skills inventory;
  invoke via the `Skill` tool with `skill: "imagegen"`.
- Never substitute SVG, HTML, canvas, or other code-based rendering when no
  raster backend can be resolved — fall through and ask the user instead.

Applied to docs/image-generation-tools.md and inlined into baoyu-article-illustrator
(plus its references/workflow.md), baoyu-comic, baoyu-cover-image, baoyu-image-cards,
baoyu-infographic, baoyu-slide-deck, baoyu-xhs-images per the self-containment rule.
2026-05-11 18:45:13 -05:00
Jim Liu 宝玉 a1b935b2d8 chore: release v1.115.3 2026-05-11 16:24:14 -05:00
Jim Liu 宝玉 9968d79a26 fix(baoyu-post-to-x): use toolbar media upload instead of image clipboard paste 2026-05-11 16:23:17 -05:00
Jim Liu 宝玉 6f75fb17e4 chore: add .codex-tmp and outputs to .gitignore 2026-05-11 16:23:09 -05:00
Jim Liu 宝玉 adba24281b Merge pull request #149 from fengxiaodong28/fix-browser-copy-paste
fix(browser): ensure tab activation before copy/paste in WeChat editor
2026-05-10 11:37:40 -05:00
Jim Liu 宝玉 61342ecfea chore: release v1.115.2 2026-05-10 02:49:50 -05:00
Jim Liu 宝玉 5f753dd584 fix(baoyu-post-to-x): respect Chrome plugin mode 2026-05-10 02:49:42 -05:00
Jim Liu 宝玉 076192d58e chore: release v1.115.1 2026-05-09 22:10:54 -05:00
Jim Liu 宝玉 d6d434e714 fix(image): update MiniMax default endpoint 2026-05-09 22:07:26 -05:00
Jim Liu 宝玉 6f3600d8e5 chore: release v1.115.0 2026-05-09 22:05:27 -05:00
Jim Liu 宝玉 045fe5e57e feat(baoyu-post-to-x): add Chrome Computer Use as preferred execution mode
In Codex, prefer the bundled Chrome Computer Use path for all X UI
actions (compose, article, quote, video). CDP scripts become a fallback
when Computer Use is unavailable or explicitly not requested.
2026-05-09 22:04:58 -05:00
FENG/XIAODONG 0b3b7d13b5 fix(browser): ensure tab activation before copy/paste in WeChat editor
When posting articles via browser automation, the HTML preview tab
needs to be active before copying content, and the editor tab needs
to be active before pasting. Without explicit Target.activateTarget
calls, AppleScript Cmd+C/Cmd+V would act on the wrong tab, causing
the editor body to remain empty after paste.

This fix adds Target.activateTarget before both copy and paste
operations, ensuring the correct tab is in focus for system-level
clipboard operations.
2026-05-09 22:13:06 +08:00
Jim Liu 宝玉 aa1a967a9f chore: release v1.114.1 2026-05-08 17:45:03 -05:00
Jim Liu 宝玉 d643bad53c test(baoyu-danger-gemini-web): cover generated image response fallback 2026-05-08 17:43:31 -05:00
Jim Liu 宝玉 0d977787b5 Merge pull request #146 from evilstar2016/fix/gemini-generated-image-detection
fix(gemini-webapi): add fallback scan for generated images
2026-05-08 17:40:45 -05:00
evilstar2016 516803feb4 fix(gemini-webapi): add fallback scan for generated images when wants_generated fails
The `wants_generated` detection checks `candidate[12][7][0]` and an old
`googleusercontent.com/image_generation_content/` URL pattern in the response
text. Both are no longer present in the current Gemini Web API response format,
causing the entire generated-image extraction block to be skipped even when
Gemini successfully generates images — resulting in "No image returned in
response" errors.

Generated image URLs now appear as `https://lh3.googleusercontent.com/gg-dl/`
somewhere in the response parts. This commit adds an unconditional fallback that
scans all response parts for those URLs when `generated_images` is still empty
after the existing `wants_generated` block, reusing the already-present
`collect_strings` helper and `GeneratedImage` constructor.

The existing code path is untouched — the fallback only runs when no images
were found through the original logic, so old response formats continue to work.
2026-05-06 18:48:08 +09:00
Jim Liu 宝玉 4af0506fa3 chore: release v1.114.0 2026-05-05 11:17:55 -05:00
Jim Liu 宝玉 80a1c2970a docs(release-skills): add GitHub release publishing workflow 2026-05-05 11:17:45 -05:00
Jim Liu 宝玉 cdfa0dbff9 feat(baoyu-infographic): add retro popup pop style 2026-05-05 11:17:42 -05:00
Jim Liu 宝玉 505a7e10ce chore: release v1.113.0 2026-04-25 15:03:22 -05:00
Jim Liu 宝玉 6d063734ae feat(baoyu-imagine): add DashScope Wan 2.7 image model support (#141)
* feat(baoyu-imagine): add DashScope Wan 2.7 image model support

Closes #139.

Adds the new `wan2.7-image-pro` and `wan2.7-image` model family to the
DashScope provider so users can call Wan 2.7 directly through the
official Aliyun (Bailian) API instead of going through Replicate.

- Register `wan2.7-image-pro` and `wan2.7-image` as a new `wan27` family
  in the DashScope provider with their own size resolution rules:
  pixel range `[768*768, 4096*4096]` for `wan2.7-image-pro` text-to-image,
  `[768*768, 2048*2048]` for `wan2.7-image-pro` with refs and for the
  base `wan2.7-image` model in any mode, with aspect ratios validated
  against the documented `[1:8, 8:1]` band.
- Allow up to 9 reference images per request (image editing /
  multi-image fusion). Local files are inlined as base64 data URLs;
  `http(s)://` paths are forwarded as-is. Other DashScope models still
  reject `--ref` with a hint to switch to a wan2.7 model or another
  provider.
- Drop `prompt_extend` from the request body for the Wan 2.7 family
  (not part of the Wan 2.7 API surface) and skip the Qwen-only negative
  prompt for this family.
- Allow `--provider dashscope --ref ...` in `detectProvider` so users
  can opt into Wan 2.7 reference workflows, while keeping Wan 2.7 out
  of the auto-detect ref priority list.
- Add provider, reference, and usage-example documentation, plus
  unit tests covering family routing, size derivation across the
  three pixel-budget modes, ratio rejection, explicit-size validation,
  and the new `--provider dashscope` ref opt-in path.

Made-with: Cursor

* fix(baoyu-imagine): force n=1 for DashScope wan2.7 to avoid silent multi-image billing

Cross-checked the implementation against the official Wan 2.7 image
generation & editing API reference and found that the API defaults
`parameters.n` to 4 in non-collage mode (1-4 range, billed per image).
baoyu-imagine has single-image save semantics — only the first image
in the response is kept — so without an explicit `n: 1` users would
silently pay for 3 discarded images per request.

- Always send `parameters.n: 1` in the wan2.7 request body
- Reject `--n > 1` for wan2.7 with a clear error pointing at the
  single-image save semantics
- Add tests asserting the request body shape (n=1, no prompt_extend,
  no negative_prompt) and the --n>1 rejection
- Document the defaults-vs-skill mismatch in the dashscope reference

Made-with: Cursor

* Fix DashScope Wan 2.7 review feedback
2026-04-25 14:54:08 -05:00
Jim Liu 宝玉 31d728b505 chore: release v1.112.0 2026-04-24 02:15:57 -05:00
Jim Liu 宝玉 f6d5df0594 fix(baoyu-post-to-x): add entry point guard to md-to-html.ts for module import compatibility
Wrap main() in an import.meta.url check so that importing parseMarkdown
from x-article.ts no longer triggers the CLI entry point. Mirrors the
same fix applied to baoyu-post-to-weibo.
2026-04-24 02:15:30 -05:00
Jim Liu 宝玉 4bd5fe573e feat(baoyu-article-illustrator): default to sketch-notes educational infographic style
Make `hand-drawn-edu` (infographic + sketch-notes + macaron) the universal
fallback preset when content analysis surfaces no strong signal. Rework
sketch-notes style spec around warm cream paper + black hand-drawn lines +
soft pastel section blocks.

- Change `hand-drawn-edu` preset type from flowchart to infographic; add
  `hand-drawn-edu-flow` (flowchart) and `hand-drawn-edu-compare` (comparison)
  as variants for users who need those layouts in the same warm style
- Elevate `sketch-notes` to primary style across infographic / flowchart /
  comparison / framework auto-selection; add sketch-notes column to
  Type x Style compatibility matrix
- Rewrite sketch-notes.md: macaron pastel palette, canonical single-page
  layout (title / sectioned boxes / takeaway), diagram-only rule
- Add infographic + sketch-notes + macaron prompt block to
  prompt-construction.md
- Update workflow, style-presets, and first-time-setup defaults to match
2026-04-24 02:15:25 -05:00
Jim Liu 宝玉 8c17d77209 chore: release v1.111.1 2026-04-21 16:59:35 -05:00
Jim Liu 宝玉 fb749aae36 docs(baoyu-article-illustrator): add Confirmation Policy
State that defaults / signals / EXTEND.md preferences are recommendation
inputs only — Step 3 is mandatory unless the current request opts out
explicitly.
2026-04-21 16:59:11 -05:00
Jim Liu 宝玉 a23f2e6a4b docs(baoyu-xhs-images): add Confirmation Policy
Sync Confirmation Policy with baoyu-image-cards (deprecated skill kept
functional per CLAUDE.md).
2026-04-21 16:59:11 -05:00
Jim Liu 宝玉 ae32c56a3c docs(baoyu-image-cards): add Confirmation Policy
State that defaults / signals / EXTEND.md preferences are recommendation
inputs only — Step 2 is mandatory unless the current request opts out via
`--yes` / equivalent wording.
2026-04-21 16:59:07 -05:00
Jim Liu 宝玉 4b2ad3ad18 docs(baoyu-slide-deck): add Confirmation Policy
State that defaults / signals / EXTEND.md preferences are recommendation
inputs only — Step 2 is mandatory unless the current request opts out
explicitly.
2026-04-21 16:59:07 -05:00
Jim Liu 宝玉 512b6d2e15 docs(baoyu-cover-image): add Confirmation Policy
State that defaults / keywords / EXTEND.md preferences are recommendation
inputs only — Step 2 is mandatory unless the current request opts out via
`--quick` / `quick_mode: true` / equivalent wording.
2026-04-21 16:59:03 -05:00
Jim Liu 宝玉 60d0b9c95b docs(baoyu-infographic): add Confirmation Policy as single source of truth
Consolidate the confirmation rule into one section so defaults, keywords,
and EXTEND.md preferences are treated as recommendation inputs only — never
as authorization to skip Step 4. Remove the repeated reminders that were
scattered across Step 5, Step 6, Default combination, Keyword Shortcuts,
and the preferences docs.
2026-04-21 16:58:58 -05:00
Jim Liu 宝玉 acf1d42a64 chore: release v1.111.0 2026-04-21 16:44:01 -05:00
Jim Liu 宝玉 adb783ae6d refactor: unify image-backend resolution with preferred_image_backend preference
Replaces the stateless ask-once backend rule with a 4-step resolution
(current-request override > saved preference > auto-select > ask) and
adds a single `preferred_image_backend` field (auto | ask | <backend-id>)
to every image-consuming skill's EXTEND.md schema. Runtime-native tools
(Codex `imagegen`, Hermes `image_generate`, ...) win by default; absent
field equals `auto` so existing user EXTEND.md files stay valid with no
schema version bump.

Each image-consuming skill also gains a top-level `## Changing
Preferences` section as a first-class surface for pinning a backend and
editing common one-line preferences.

Applies across:
  - baoyu-infographic (reverts in-progress two-field image_backend_mode design)
  - baoyu-comic
  - baoyu-cover-image
  - baoyu-image-cards
  - baoyu-article-illustrator
  - baoyu-slide-deck
  - baoyu-xhs-images
  - docs/image-generation-tools.md (canonical author-side doc)
2026-04-21 16:43:58 -05:00
Jim Liu 宝玉 a4bd37c390 chore: release v1.110.0 2026-04-21 15:15:19 -05:00
Jim Liu 宝玉 f8e434d2a0 chore: release v1.109.0 2026-04-21 13:39:42 -05:00
Jim Liu 宝玉 bb66585c00 fix(project): include vendored skill files in releases 2026-04-21 13:39:13 -05:00
Jim Liu 宝玉 d6442e1ab4 feat(baoyu-url-to-markdown): vendor baoyu-fetch runtime 2026-04-21 13:39:09 -05:00
Jim Liu 宝玉 2f09f48726 chore(deps): upgrade Defuddle extraction stack 2026-04-21 13:39:05 -05:00
Jim Liu 宝玉 fe26c2b639 fix(baoyu-fetch): extract X video variants 2026-04-21 13:39:01 -05:00
Jim Liu 宝玉 d7f623158c chore: release v1.108.0 2026-04-19 00:51:23 -05:00
Jim Liu 宝玉 2c800c670a [codex] Refactor skills into focused references (#135)
* docs: add runtime-neutral User Input Tools convention across skills

Introduce docs/user-input-tools.md as the author-side canonical source
and inline the tool-selection rule into every SKILL.md that prompts
the user. Also add Skill Self-Containment and User Input Tools sections
to CLAUDE.md and the copy-verbatim template to docs/creating-skills.md,
so skills stay portable across Claude Code, Codex, Hermes, and other
runtimes.

* feat: runtime-neutral image generation convention across skills

- Introduce inline `## Image Generation Tools` rule in every rendering SKILL.md so skills delegate backend choice instead of hard-coding one; author-side canonical copy lives in docs/image-generation-tools.md.
- Add `## Reference Images` support (`--ref`, frontmatter `references:` with direct/style/palette usage) to all seven image-rendering skills.
- Move build-batch.ts (with ref propagation into batch JSON) from baoyu-article-illustrator to baoyu-imagine so non-backend skills don't own backend-specific scripts; update baoyu-image-gen stub in sync and relax the CLAUDE.md deprecation note accordingly.

* refactor: slim heavy SKILL.md files and move detail to references/

Trim the four largest active skills and move presets, option tables, and
confirmation scripts into per-skill references/ so SKILL.md stays focused
on the decision flow.

- baoyu-slide-deck: 761→258, + styles-gallery.md, confirmation.md
- baoyu-image-cards: 657→280, + gallery.md, confirmation.md
- baoyu-post-to-wechat: 518→267, + multi-account.md, api-setup.md
- baoyu-imagine: 500→230, + providers/, usage-examples.md

Also un-deprecate baoyu-image-gen (drop stub warning) so it stays functional
alongside baoyu-imagine, and update CLAUDE.md to reflect that both
superseded skills are kept in sync rather than stubbed.

* refactor: slim four medium SKILL.md files into references/

Continue the P2 pattern on the next tier of skills — move option catalogs,
per-provider/adapter detail, and repeated EXTEND.md path boilerplate into
their own references so SKILL.md stays focused on the decision flow.

- baoyu-comic: 380→297 (art/tone/preset tables → auto-selection.md;
  Step 7 expanded detail → workflow.md)
- baoyu-infographic: 312→207 (layouts/styles/combinations/keywords →
  gallery.md; ASCII box tables → markdown tables)
- baoyu-format-markdown: 376→296 (title + summary generation →
  title-summary.md; ASCII box tables → markdown tables)
- baoyu-url-to-markdown: 334→169 (quality gate + recovery →
  quality-gate.md; adapters + media download → adapters.md)

* chore: sync deprecated skills with their replacements

Per project policy, baoyu-xhs-images and baoyu-image-gen are kept
functional alongside the active skills they were superseded by. Sync
their SKILL.md bodies and references/ to the slimmed baoyu-image-cards
and baoyu-imagine versions respectively, so cross-cutting fixes stay
consistent. Only the frontmatter (name, description, version, homepage)
differs — content is identical.

- baoyu-xhs-images: 657→281 (synced with baoyu-image-cards + new
  confirmation.md, gallery.md)
- baoyu-image-gen: 408→231 (synced with baoyu-imagine + new
  providers/, usage-examples.md)

* refactor: collapse EXTEND.md boilerplate into priority tables

Replace the dual bash/powershell existence-check blocks and ASCII box
art with a single markdown priority table across nine SKILL.md files.
The runtime-neutral phrasing removes shell-specific snippets without
losing the priority semantics.

* fix: address refactor-skills branch review findings

- image-gen: restore EXTEND.md paths to baoyu-image-gen (were pointing at
  baoyu-imagine) and mark descriptions of both deprecated skills as
  [Deprecated].
- xhs-images: sync neon/warm palettes with image-cards to add the
  "do not render color names/hex as visible text" safety sentence.
- infographic: restore Layout Gallery (21), Style Gallery (21),
  Recommended Combinations, and Keyword Shortcuts inline (previous
  refactor split them out but SKILL.md still depended on them), and add
  the missing references/config/first-time-setup.md + preferences-schema.md.
- image-cards / xhs-images / slide-deck / format-markdown: restore the
  sections that got over-slimmed into references/ (galleries, presets,
  dimensions, auto-selection, style x layout matrix, title/summary flow)
  and drop the now-empty shell files.
- docs/image-generation-tools.md: note that backend skills themselves
  (baoyu-imagine, baoyu-image-gen, baoyu-danger-gemini-web) are exempt
  from the ## Image Generation Tools section requirement.

* feat(image-gen): sync Z.AI GLM-Image provider from baoyu-imagine

Add Z.AI as a full provider in the deprecated baoyu-image-gen skill so
it stays in sync with baoyu-imagine's provider list.

- new scripts/providers/zai.ts + zai.test.ts (verbatim port; test
  factory trimmed to match image-gen's CliArgs shape).
- types.ts: "zai" added to Provider union and default_model.
- main.ts: rate-limit defaults, provider help text, env var help,
  --provider validation, loadProviderModule, detectProvider
  auto-detect chain, getModelForProvider, YAML parser allow-lists.
- references/config: Q2e Z.AI model question + zai slot in the
  preferences schema and batch.provider_limits.

Scope is intentionally limited to the Z.AI chain; unrelated drift
between image-gen and imagine (OpenAI image-API dialect,
aspectRatioSource, imageSizeSource) is left alone.

* docs: align inline-convention wording and note backend-skill exemption

- docs/user-input-tools.md: fix stale "links here" wording so it
  matches the inline convention already enforced everywhere else.
- CLAUDE.md §Image Generation Tools: inline the backend-skill
  exemption so readers don't need to cross-reference
  docs/image-generation-tools.md.
2026-04-19 00:48:44 -05:00
Jim Liu 宝玉 5b20f9a746 Use npm packages for shared skill code (#136) 2026-04-18 21:09:58 -05:00
Jim Liu 宝玉 9977ff520c chore: release v1.107.0 2026-04-15 21:34:22 -05:00
Jim Liu 宝玉 03bd68d3a4 docs: add Cocoon-AI credit for diagram skill design 2026-04-15 21:33:59 -05:00
Jim Liu 宝玉 39792f4360 feat(baoyu-diagram): add SVG-to-PNG @2x conversion script and consolidate references 2026-04-15 21:33:56 -05:00
Kayue Yeung 25b8a7f73d fix(claude-plugin): allow inline marketplace manifest (#130)
Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent)

Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
2026-04-15 19:38:38 -05:00
Jim Liu 宝玉 e13092ba2a chore: release v1.106.0 2026-04-14 11:33:44 -05:00
Jim Liu 宝玉 acbcf19ba2 feat(baoyu-diagram): add architecture enrichment and structural layout patterns 2026-04-14 11:32:55 -05:00
Jim Liu 宝玉 dcd0f81433 chore: release v1.105.0 2026-04-13 19:51:57 -05:00
Jim Liu 宝玉 c938396efc feat(baoyu-diagram): unify to analyze→confirm→generate workflow
Remove single/multi mode split. Skill now analyzes any input material,
recommends diagram types and splitting strategy, confirms once, then generates.
2026-04-13 19:42:29 -05:00
Jim Liu 宝玉 1ba68c9a9c chore: release v1.104.0 2026-04-13 14:24:04 -05:00
Jim Liu 宝玉 b3f5c0a8aa fix(baoyu-post-to-wechat): verify editor focus before paste operations 2026-04-13 14:23:41 -05:00
Jim Liu 宝玉 9c45ede0c7 feat(baoyu-diagram): add Mermaid sketch step before SVG generation 2026-04-13 14:23:39 -05:00
Jim Liu 宝玉 30d2ac98ce chore: release v1.103.1 2026-04-13 11:13:06 -05:00
Jim Liu 宝玉 bfdd64bd4e chore: sync baoyu-md vendor to baoyu-markdown-to-html and baoyu-post-to-weibo 2026-04-12 20:18:05 -05:00
Jim Liu 宝玉 434d4857da chore: release v1.103.0 2026-04-12 20:17:25 -05:00
Jim Liu 宝玉 990fea4f7b fix(baoyu-post-to-wechat): decode HTML entities and strip tags from article summary
Add cleanSummaryText() to baoyu-md package: decodes HTML entities (&amp;, &lt;, &#x..., etc.)
and strips HTML tags before using frontmatter description/summary as WeChat article digest
2026-04-12 20:16:53 -05:00
Jim Liu 宝玉 517ff566a1 fix(baoyu-image-cards): prevent color names from appearing as visible text in images 2026-04-12 20:16:48 -05:00
Jim Liu 宝玉 4c9af7d92f fix(baoyu-cover-image): prevent color names and hex codes from appearing as visible text in images
Add semantic constraint to all palette references and prompt template:
color values are rendering guidance only and must not be displayed as text labels
2026-04-12 20:16:44 -05:00
Jim Liu 宝玉 46c4859d48 fix(baoyu-article-illustrator): prevent color names and hex codes from appearing as visible text in images
Add semantic constraint to palette references and prompt-construction rules:
color values are rendering guidance only and must not be displayed as text labels
2026-04-12 20:16:40 -05:00
Jim Liu 宝玉 f3f886217b feat(baoyu-diagram): add multi-diagram mode for article-wide diagram generation
- New multi-diagram mode: analyze article content and generate diagrams at identified positions
- New options: --density (minimal/balanced/per-section/rich), --mode (single/multi/auto)
- Auto mode detection: file path or multi-paragraph content → multi, short topic → single
- Output structure: diagram/{article-slug}/NN-{type}-{slug}/diagram.svg + outline.md
- Step 7: insert diagram image links into article at identified positions
- Modification guide: regenerate/add/remove individual diagrams
- Version bumped to 1.1.0 in SKILL.md
2026-04-12 20:16:36 -05:00
Jim Liu 宝玉 4d465d55d0 chore: release v1.102.0 2026-04-12 02:15:47 -05:00
Jim Liu 宝玉 11d80eeaa9 feat(baoyu-imagine): add OpenAI-compatible image API dialect support
Add --imageApiDialect flag, OPENAI_IMAGE_API_DIALECT env var, and
default_image_api_dialect config for gateways that expect aspect-ratio
size plus metadata.resolution instead of pixel size.
2026-04-12 02:14:18 -05:00
Jim Liu 宝玉 58ba4579ef chore: release v1.101.0 2026-04-12 01:20:43 -05:00
Jim Liu 宝玉 67a45a57a0 Improve baoyu-imagine Replicate compatibility (#125)
* Align Replicate image behavior with the models we actually support

Replicate image generation in baoyu-imagine no longer assumes that every model
accepts the nano-banana request schema. The Replicate provider now defaults to
google/nano-banana-2, routes supported model families through family-specific
builders and validators, blocks misleading multi-output requests before they
reach the API, and updates user-facing docs/config guidance to match the actual
contract.

Constraint: Replicate model families expose different input schemas
Constraint: Current Replicate path only saves one output image per request
Constraint: Must not change non-Replicate providers
Rejected: Keep one nano-banana-style payload for all Replicate models | triggers remote schema errors on Seedream and Wan
Rejected: Continue accepting multi-image Replicate requests and save only the first result | silently drops outputs
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: Add a family-specific validator and input builder before exposing more Replicate model IDs or multi-output flags
Tested: npm test
Tested: node --test skills/baoyu-imagine/scripts/providers/replicate.test.ts skills/baoyu-imagine/scripts/main.test.ts
Not-tested: Live Replicate API calls against production models
Co-authored-by: justnode <justnode@users.noreply.github.com>

* Preserve Replicate compatibility when shared defaults leak across providers

Addressed the new PR review findings by teaching baoyu-imagine to track
where aspect-ratio defaults came from, mirroring the earlier imageSize fix,
so unsupported Replicate models can still run prompt-only requests when the
value was inherited from shared config. Also corrected Seedream 4.5 custom
size encoding to use the API's custom width/height schema instead of sending
literal WxH strings.

Constraint: Shared EXTEND defaults still need to apply globally for providers that support them
Constraint: Seedream 4.5 custom sizes must follow Replicate's documented custom size schema
Rejected: Ignore all aspect ratios for unknown Replicate models | would hide explicit unsupported CLI/task input
Rejected: Keep Seedream custom sizes as literal strings | validated locally but fails against the provider API
Confidence: high
Scope-risk: narrow
Reversibility: clean
Directive: Any future inherited-default validation for provider-specific flags should record the source explicitly before rejecting it
Tested: node --import tsx --test skills/baoyu-imagine/scripts/main.test.ts skills/baoyu-imagine/scripts/providers/replicate.test.ts
Tested: npm test
Not-tested: Live Replicate API calls for Seedream 4.5 custom-size requests

---------

Co-authored-by: justnode <justnode@users.noreply.github.com>
2026-04-12 01:16:32 -05:00
Jim Liu 宝玉 0b8ac256f4 chore: release v1.100.0 2026-04-12 00:30:55 -05:00
Jim Liu 宝玉 eaa0f1aa11 feat(baoyu-imagine): add Z.AI GLM-Image provider
Adds the Z.AI (智谱) provider supporting glm-image and cogview-4-250304
models via the Z.AI sync image API. Configure with ZAI_API_KEY (or
BIGMODEL_API_KEY for backward compat). Reference images are not supported yet.
2026-04-12 00:30:49 -05:00
Jim Liu 宝玉 ec5f4ffcc9 chore: release v1.99.1 2026-04-11 21:02:36 -05:00
Jim Liu 宝玉 d206e1674d fix(baoyu-article-illustrator): omit model field from batch tasks when unspecified
When --model is not provided, build-batch no longer writes a model field
into batch task entries; baoyu-imagine resolves the default from env or
EXTEND config instead of inheriting a hardcoded script default.

Adds tests covering both the omit-by-default and explicit-override paths.
2026-04-11 21:02:18 -05:00
579 changed files with 169088 additions and 25991 deletions
+4 -3
View File
@@ -6,14 +6,14 @@
},
"metadata": {
"description": "Skills shared by Baoyu for improving daily work efficiency",
"version": "1.99.0"
"version": "1.117.0"
},
"plugins": [
{
"name": "baoyu-skills",
"description": "Content generation, AI backends, and utility tools for daily work efficiency",
"source": "./",
"strict": true,
"strict": false,
"skills": [
"./skills/baoyu-article-illustrator",
"./skills/baoyu-comic",
@@ -33,7 +33,8 @@
"./skills/baoyu-translate",
"./skills/baoyu-url-to-markdown",
"./skills/baoyu-image-cards",
"./skills/baoyu-youtube-transcript"
"./skills/baoyu-youtube-transcript",
"./skills/baoyu-wechat-summary"
]
}
]
+84 -7
View File
@@ -1,12 +1,22 @@
---
name: release-skills
description: Universal release workflow. Auto-detects version files and changelogs. Supports Node.js, Python, Rust, Claude Plugin, and generic projects. Use when user says "release", "发布", "new version", "bump version", "push", "推送".
description: Universal release workflow. Auto-detects version files and changelogs. Supports Node.js, Python, Rust, Claude Plugin, GitHub Releases, annotated tags, historical release backfill, and generic projects. Use when user says "release", "发布", "new version", "bump version", "push", "推送", "release notes", "GitHub Release", or "回填 Release".
---
# Release Skills
Universal release workflow supporting any project type with multi-language changelog.
## User Input Tools
When this skill prompts the user, follow this tool-selection rule (priority order):
1. **Prefer built-in user-input tools** exposed by the current agent runtime — e.g., `AskUserQuestion`, `request_user_input`, `clarify`, `ask_user`, or any equivalent.
2. **Fallback**: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
3. **Batching**: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.
Concrete `AskUserQuestion` references below are examples — substitute the local equivalent in other runtimes.
## Quick Start
Just run `/release-skills` - auto-detects your project configuration.
@@ -29,6 +39,7 @@ Just run `/release-skills` - auto-detects your project configuration.
| `--major` | Force major version bump |
| `--minor` | Force minor version bump |
| `--patch` | Force patch version bump |
| `--backfill-releases` | Create missing GitHub Releases for existing tags from changelog sections |
## Workflow
@@ -47,7 +58,11 @@ Just run `/release-skills` - auto-detects your project configuration.
- `HISTORY*.md`
- `CHANGES*.md`
4. Identify language of each changelog by filename suffix
5. Display detected configuration
5. Detect GitHub release support:
- Check whether `origin` points to GitHub
- Check whether `gh` is installed and authenticated
- Check existing releases with `gh release list --limit 5` when available
6. Display detected configuration
**Project Hook Contract**:
@@ -300,6 +315,14 @@ git commit -m "docs(project): update architecture documentation"
- Read version file (JSON/TOML/text)
- Update version number
- Write back (preserve formatting)
3. **Create release notes file**:
- Prefer the new version section from `CHANGELOG.md`
- If no English/default changelog exists, use the first detected changelog
- Extract only the exact `## {VERSION} - {YYYY-MM-DD}` section through the next `##`
- Match both plain version and tag-prefixed headings when needed, e.g. `1.2.3` and `v1.2.3`
- Keep breaking changes near the top; if needed, add a short highlight before other sections
- Write notes to a UTF-8 temp file and reuse it for annotated tag messages, GitHub Releases, and `publish_artifact`
- In normal mode, stop rather than creating an empty tag or GitHub Release when notes cannot be found
**Version Paths by File Type**:
@@ -315,7 +338,7 @@ git commit -m "docs(project): update architecture documentation"
Before creating the release commit, ask user to confirm:
**Use AskUserQuestion with two questions**:
**Use AskUserQuestion with three questions**:
1. **Version bump** (single select):
- Show recommended version based on Step 3 analysis
@@ -325,6 +348,11 @@ Before creating the release commit, ask user to confirm:
2. **Push to remote** (single select):
- Options: "Yes, push after commit", "No, keep local only"
3. **Publish GitHub Release** (single select):
- Offer this only when GitHub release support is available
- Default to "Yes, publish after tag push" when the user also chose push
- If the user keeps the release local, do not create or edit a GitHub Release
**Example Output Before Confirmation**:
```
Commits created:
@@ -339,10 +367,11 @@ Changelog preview (en):
### Fixes
- Improve panel layout for long dialogues in comic
Ready to create release commit and tag.
Release notes source: CHANGELOG.md#1.3.0
Ready to create release commit, annotated tag, and GitHub Release.
```
### Step 9: Create Release Commit and Tag
### Step 9: Create Release Commit and Annotated Tag
After user confirmation:
@@ -357,10 +386,11 @@ After user confirmation:
git commit -m "chore: release v{VERSION}"
```
3. **Create tag**:
3. **Create annotated tag**:
```bash
git tag v{VERSION}
git tag -a v{VERSION} -F <release-notes-file>
```
If `.releaserc.yml` sets `tag.sign: true`, use `git tag -s` with the same notes file.
4. **Push if user confirmed** (Step 8):
```bash
@@ -370,6 +400,28 @@ After user confirmation:
**Note**: Do NOT add Co-Authored-By line. This is a release commit, not a code contribution.
### Step 10: Publish Release Artifacts and GitHub Release
Project artifact publishing and GitHub Releases are separate outputs:
1. **Project artifacts**:
- If `release.hooks.publish_artifact` exists, run it once per prepared target
- Pass the same `{release_notes_file}` used for the tag and GitHub Release
- In dry-run mode, pass `{dry_run}=true` and report what would be published
2. **GitHub Release**:
- Run only if the user confirmed remote publishing and GitHub support is available
- Ensure the tag exists on the remote before creating the release
- Create or update using the extracted notes:
```bash
if gh release view v{VERSION} >/dev/null 2>&1; then
gh release edit v{VERSION} --title "v{VERSION}" --notes-file <release-notes-file>
else
gh release create v{VERSION} --title "v{VERSION}" --notes-file <release-notes-file> --verify-tag
fi
```
- Never inline multiline release notes into shell commands
**Post-Release Output**:
```
Release v1.3.0 created.
@@ -381,9 +433,32 @@ Commits:
4. chore: release v1.3.0
Tag: v1.3.0
Tag type: annotated
GitHub Release: published # or "skipped/local only"
Status: Pushed to origin # or "Local only - run git push when ready"
```
## Backfill Existing GitHub Releases
Use this mode when the user asks to backfill historical releases or passes `--backfill-releases`.
1. Do not bump versions, edit changelogs, or create release commits.
2. List existing tags in version order and detect missing releases:
```bash
git tag --sort=v:refname
gh release view <tag>
```
3. For each tag without a GitHub Release:
- Normalize the changelog lookup by stripping the configured tag prefix, e.g. `v1.2.3` -> `1.2.3`
- Extract the matching section from `CHANGELOG.md`; fall back to the first matching changelog file
- Skip or ask before publishing if no matching changelog section exists
- Create the release with:
```bash
gh release create <tag> --title "<tag>" --notes-file <release-notes-file> --verify-tag
```
4. Detect lightweight tags with `git cat-file -t <tag>` (`commit` means lightweight, `tag` means annotated).
5. Do not rewrite public lightweight tags by default. Converting an existing remote tag to an annotated tag requires explicit user confirmation because it rewrites a published reference.
## Configuration (.releaserc.yml)
Optional config file in project root to override defaults:
@@ -488,6 +563,7 @@ No changes made. Run without --dry-run to execute.
/release-skills --minor # Force minor bump
/release-skills --patch # Force patch bump
/release-skills --major # Force major bump (with confirmation)
/release-skills --backfill-releases # Create missing GitHub Releases for existing tags
```
## When to Use
@@ -496,6 +572,7 @@ Trigger this skill when user requests:
- "release", "发布", "create release", "new version", "新版本"
- "bump version", "update version", "更新版本"
- "prepare release"
- "release notes", "GitHub Release", "回填 Release"
- "push to remote" (with uncommitted changes)
**Important**: If user says "just push" or "直接 push" with uncommitted changes, STILL follow all steps above first.
+1 -1
View File
@@ -4,4 +4,4 @@ set -eu
REPO_ROOT=$(git rev-parse --show-toplevel)
cd "$REPO_ROOT"
node scripts/sync-shared-skill-packages.mjs --repo-root "$REPO_ROOT" --enforce-clean
node scripts/verify-shared-package-deps.mjs --repo-root "$REPO_ROOT"
+7
View File
@@ -83,6 +83,10 @@ out
.nuxt
dist
# Shared package builds are published to npm.
!packages/*/dist/
!packages/*/dist/**
# Gatsby files
.cache/
# Comment in the public line in if your project uses Gatsby and not Next.js
@@ -169,3 +173,6 @@ diagram/
.worktrees/
youtube-transcript/
.omx/
.codex-tmp/
outputs/
wechat/
+1 -1
View File
@@ -2,5 +2,5 @@ release:
target_globs:
- skills/*
hooks:
prepare_artifact: node scripts/sync-shared-skill-packages.mjs --repo-root "{project_root}" --target "{target}"
prepare_artifact: node scripts/verify-shared-package-deps.mjs --repo-root "{project_root}" --target "{target}"
publish_artifact: node scripts/publish-skill.mjs --skill-dir "{target}" --version "{version}" --changelog-file "{release_notes_file}" --dry-run "{dry_run}"
+199 -1
View File
@@ -2,6 +2,204 @@
English | [中文](./CHANGELOG.zh.md)
## 1.117.0 - 2026-05-16
### Features
- `baoyu-article-illustrator`: add batch generation policy — backend native batch first, runtime parallel calls second, sequential fallback; configurable `generation_batch_size` and `--batch-size` option
- `baoyu-comic`: add batch generation policy with dependency-aware ordering (character sheet before pages) and configurable `--batch-size`
- `baoyu-image-cards`: add batch generation policy honoring image-1 anchor chain, with configurable `--batch-size`
- `baoyu-slide-deck`: add batch generation policy for slide image rendering with configurable `--batch-size`
- `baoyu-xhs-images`: sync batch generation policy from baoyu-image-cards
## 1.116.5 - 2026-05-14
### Features
- `baoyu-post-to-wechat`: send WeChat login QR code to Telegram when `TELEGRAM_BOT_TOKEN` and `TELEGRAM_CHAT_ID` env vars are set, enabling headless / remote login flows (by @beforesun)
### Refactor
- `baoyu-post-to-wechat`: harden Telegram QR notification — add 10s fetch timeout, defer the 2s QR-render wait until env vars are configured, and use viewport screenshot as fallback
## 1.116.4 - 2026-05-14
### Refactor
- `baoyu-wechat-summary`: streamline roast version prompts in output-formats.md (99 → 23 lines), add roast-specific profile usage bullets to SKILL.md Round 2
## 1.116.3 - 2026-05-13
### Documentation
- Replace Claude Code references with generic Agent wording in READMEs to reflect multi-agent support (Claude Code, Codex, etc.)
## 1.116.2 - 2026-05-13
### Documentation
- `baoyu-wechat-summary`: update example group name in SKILL.md
## 1.116.1 - 2026-05-13
### Features
- `baoyu-wechat-summary`: add `data_root` option to first-time setup flow, allowing users to customize the digest output directory during initialization
## 1.116.0 - 2026-05-13
### Features
- Add `baoyu-wechat-summary` skill: summarize WeChat group chat highlights into structured digests with topic extraction, message leaderboards, and per-user profiles. Supports normal and roast (毒舌) versions, incremental mode, and profile backfill. Requires [wx-cli](https://github.com/jackwener/wx-cli).
## 1.115.4 - 2026-05-11
### Documentation
- Image generation backend selection: emphasize Codex `imagegen` as the priority runtime-native tool (invoke via the `Skill` tool with `skill: "imagegen"`) and forbid SVG/HTML/canvas substitution when no raster backend can be resolved — fall through to asking the user instead of silently emitting code-based art. Updated in `docs/image-generation-tools.md` and inlined into `baoyu-article-illustrator`, `baoyu-comic`, `baoyu-cover-image`, `baoyu-image-cards`, `baoyu-infographic`, `baoyu-slide-deck`, and `baoyu-xhs-images`.
## 1.115.3 - 2026-05-11
### Fixes
- `baoyu-post-to-wechat`: ensure tab activation before copy/paste in WeChat editor (by @fengxiaodong28)
- `baoyu-post-to-x`: use toolbar media upload instead of image clipboard paste for X Articles
## 1.115.2 - 2026-05-10
### Fixes
- `baoyu-post-to-x`: honor explicit Codex Chrome plugin requests as a distinct browser-control mode, keep Chrome Computer Use and CDP fallbacks from silently taking over, and improve X Articles draft creation detection.
## 1.115.1 - 2026-05-10
### Fixes
- `baoyu-imagine`: change the default MiniMax image API endpoint to `https://api.minimaxi.com` to match the current official image generation documentation, while keeping `https://api.minimax.io` available through `MINIMAX_BASE_URL` overrides.
- `baoyu-image-gen`: sync the deprecated image-generation entrypoint with the same MiniMax default endpoint and regression coverage.
## 1.115.0 - 2026-05-09
### Features
- `baoyu-post-to-x`: add Chrome Computer Use as the preferred execution mode in Codex. When Computer Use tools are available, all X UI actions (compose, article, quote, video) go through the user's real Chrome window instead of CDP scripts. CDP scripts become a fallback when Computer Use is unavailable or explicitly not requested.
## 1.114.1 - 2026-05-08
### Fixes
- `baoyu-danger-gemini-web`: restore generated-image extraction for current Gemini Web responses where image URLs appear as `https://lh3.googleusercontent.com/gg-dl/` without the legacy generated-image markers. Adds regression coverage for the fallback response shape. (by @evilstar2016)
## 1.114.0 - 2026-05-05
### Features
- `baoyu-infographic`: add `retro-popup-pop` style — retro pixel popup × pop-art collage. Renders content as a stack of 80/90s desktop popup windows (title bars, close buttons, ERROR / ALERT dialogs, file windows like `PROBLEMS.EXE`, progress bars, OK / CANCEL / FIX IT buttons) with thick black outlines, flat color fills, and bright cyan (#12B8DE) or vintage cream (#F5F0E6) backgrounds. Pairs especially well with the `dense-modules` layout; promoted as a recommended style for the `高密度信息大图` keyword shortcut and the `Product/Buying Guide` content type. Style Gallery count goes from 21 to 22.
Credit to AJ@WaytoAGI.
### Documentation
- `release-skills`: document GitHub Release publishing in the release workflow, including release-notes extraction from changelog sections, annotated tag creation, `gh release create/edit`, and historical release backfill for existing tags.
## 1.113.0 - 2026-04-25
### Features
- `baoyu-imagine`: add DashScope Wan 2.7 image model support (`wan2.7-image-pro` and `wan2.7-image`) directly through the official Aliyun (Bailian) API. Supports text-to-image, image editing, and multi-image fusion with up to 9 reference images, with documented `[1:8, 8:1]` aspect ratio validation and per-mode pixel-budget rules. Forces `parameters.n: 1` to match baoyu-imagine's single-image save semantics and explicitly rejects `--n > 1` to prevent silent multi-image billing (the API defaults to `n=4` in non-collage mode). Allows `--provider dashscope --ref ...` opt-in for Wan 2.7 reference workflows.
## 1.112.0 - 2026-04-24
### Features
- `baoyu-article-illustrator`: make `hand-drawn-edu` (infographic + sketch-notes + macaron) the universal fallback preset when content analysis surfaces no strong signal — warm cream paper, black hand-drawn lines, soft pastel section blocks. Elevate `sketch-notes` to primary style across infographic / flowchart / comparison / framework auto-selection; rewrite the sketch-notes style spec (macaron palette, canonical single-page layout, diagram-only rule); add matching prompt block and workflow defaults.
- `baoyu-article-illustrator`: add `hand-drawn-edu-flow` (flowchart) and `hand-drawn-edu-compare` (comparison) presets for the same warm educational style.
### Breaking Changes
- `baoyu-article-illustrator`: `hand-drawn-edu` preset now maps to `infographic` instead of `flowchart`. Users relying on the previous flowchart behavior should switch to the new `hand-drawn-edu-flow` preset.
### Fixes
- `baoyu-post-to-x`: add entry point guard to `scripts/md-to-html.ts` so that importing `parseMarkdown` from `x-article.ts` no longer triggers the CLI entry point. Mirrors the same fix applied to `baoyu-post-to-weibo`.
## 1.111.1 - 2026-04-21
### Documentation
- Add a top-level `## Confirmation Policy` section to every image-generating skill (`baoyu-infographic`, `baoyu-cover-image`, `baoyu-slide-deck`, `baoyu-image-cards`, `baoyu-xhs-images`, `baoyu-article-illustrator`) as a single source of truth: explicit skill invocation, keyword shortcuts, EXTEND.md defaults, and auto-recommendations are recommendation inputs only — they never authorize skipping the confirmation step. Opt-out requires an explicit current-request signal (`--no-confirm` / `--quick` / `--yes` / "直接生成" / equivalent).
- `baoyu-infographic`: consolidate the scattered reminders (previously repeated across Step 5, Step 6, Default combination, Keyword Shortcuts, and the preferences docs) into a single policy section referenced from Step 4's hard gate.
## 1.111.0 - 2026-04-21
### Refactor
- Unify image-backend resolution across all image-consuming skills (`baoyu-infographic`, `baoyu-comic`, `baoyu-cover-image`, `baoyu-image-cards`, `baoyu-article-illustrator`, `baoyu-slide-deck`, `baoyu-xhs-images`): add a single `preferred_image_backend` preference field (`auto | ask | <backend-id>`) and replace the stateless ask-once rule with a 4-step resolution (current-request override → saved preference → auto-select → ask). Runtime-native tools (Codex `imagegen`, Hermes `image_generate`) are preferred by default; existing `EXTEND.md` files without the field are treated as `auto` with no schema bump.
- Add a top-level `## Changing Preferences` section to each image-consuming skill as a first-class surface for pinning the backend and editing common one-line preferences.
## 1.110.0 - 2026-04-21
### Features
- `baoyu-imagine`: add `gpt-image-2` support for OpenAI image generation and edits, make it the default OpenAI model, and document the official size/quality mapping, custom-size constraints, and Azure deployment guidance
## 1.109.0 - 2026-04-21
### Features
- `baoyu-url-to-markdown`: vendor the `baoyu-fetch` runtime into `scripts/lib` and run it through a local `scripts/baoyu-fetch` CLI so published skill installs are self-contained
### Fixes
- `baoyu-fetch`: extract playable X/Twitter video MP4 variants for single posts and X Articles, choosing the highest-bitrate MP4 and rendering article videos as `[video](...)`
- `sync-clawhub`: publish from the shared release file list so extensionless CLI entrypoints, `bun.lock`, and vendored `scripts/lib` files are uploaded
### Maintenance
- Upgrade `defuddle` to 0.17.0 and `jsdom` to 29.0.2; override `@xmldom/xmldom` to 0.8.13 to keep the Defuddle dependency chain vulnerability-free
## 1.108.0 - 2026-04-19
### Refactor
- Refactor skills into focused reference files for better maintainability
- Use npm packages for shared skill code across skills
## 1.107.0 - 2026-04-15
### Features
- `baoyu-diagram`: add SVG-to-PNG @2x conversion script — auto-converts generated SVG diagrams to @2x PNG using Sharp; consolidate reference files and add `{baseDir}` path resolution for portable skill loading
### Fixes
- `claude-plugin`: allow inline marketplace manifest (#130)
## 1.106.0 - 2026-04-14
### Features
- `baoyu-diagram`: add architecture enrichment rules — automatically expand architecture diagrams with multiple client types, per-service tech stacks, database tiers, message buses, and color-coded categories; add full structural layout patterns, architecture-specific pitfalls, network topology templates, and layout math for complex diagrams
## 1.105.0 - 2026-04-13
### Features
- `baoyu-diagram`: unify to analyze→confirm→generate workflow — remove single/multi mode split; skill now analyzes any input material, recommends diagram types and splitting strategy, confirms once, then generates all diagrams
## 1.104.0 - 2026-04-13
### Features
- `baoyu-diagram`: add Mermaid sketch step (6d-0) before SVG generation — write a Mermaid code block as structural intent; add MermaidSVG consistency check in step 6f
### Fixes
- `baoyu-post-to-wechat`: verify editor focus before paste and type operations to prevent silent paste failures
## 1.103.1 - 2026-04-13
### Fixes
- `baoyu-markdown-to-html`: decode HTML entities and strip tags from article summary
- `baoyu-post-to-weibo`: decode HTML entities and strip tags from article summary
## 1.103.0 - 2026-04-12
### Features
- `baoyu-diagram`: add multi-diagram mode — analyze article content and generate multiple diagrams at identified positions; new `--density` option (`minimal`, `balanced`, `per-section`, `rich`) and `--mode` option (`single`, `multi`, `auto`); auto-detects mode from input (file path → multi, short topic → single); inserts diagram image links into article; output structure `diagram/{article-slug}/NN-{type}-{slug}/`
### Fixes
- `baoyu-article-illustrator`: prevent color names and hex codes from appearing as visible text in generated images — add semantic constraint to all palette references and prompt construction rules
- `baoyu-cover-image`: prevent color names and hex codes from appearing as visible text in generated images — add constraint to all palette references and prompt template
- `baoyu-image-cards`: prevent color names from appearing as visible text in generated images
- `baoyu-post-to-wechat`: decode HTML entities and strip HTML tags from article summary before using as WeChat article digest
## 1.102.0 - 2026-04-12
### Features
- `baoyu-imagine`: add OpenAI-compatible image API dialect — new `--imageApiDialect` flag, `OPENAI_IMAGE_API_DIALECT` env var, and `default_image_api_dialect` config for gateways that expect aspect-ratio `size` plus `metadata.resolution` instead of pixel `size`
## 1.101.0 - 2026-04-12
### Features
- `baoyu-imagine`: improve Replicate provider compatibility — route models through family-specific input builders and validators (nano-banana, Seedream 4.5, Seedream 5 Lite, Wan 2.7 Image); update default model to `google/nano-banana-2`; fix Seedream 4.5 custom size encoding to use width/height schema; fix aspect-ratio default inheritance for unsupported Replicate models; block multi-output requests before they reach the API (by @justnode)
## 1.100.0 - 2026-04-12
### Features
- `baoyu-imagine`: add Z.AI GLM-Image provider — supports `glm-image` and `cogview-4-250304` models via the Z.AI sync image API; configure with `ZAI_API_KEY` (or `BIGMODEL_API_KEY` for backward compatibility)
## 1.99.1 - 2026-04-11
### Fixes
- `baoyu-article-illustrator`: omit `model` field from batch tasks when `--model` is not specified, letting `baoyu-imagine` resolve the default from env/config
## 1.99.0 - 2026-04-10
### Features
@@ -567,7 +765,7 @@ English | [中文](./CHANGELOG.zh.md)
- `baoyu-format-markdown`: add reader-perspective content analysis phase — analyzes highlights, structure, and formatting issues before applying formatting
- `baoyu-format-markdown`: restructure workflow from 8 steps to 7 with explicit do/don't formatting principles and completion report
- `baoyu-translate`: extract Step 2 workflow mechanics to separate reference file for cleaner SKILL.md
- `baoyu-translate`: expand trigger keywords (改成中文, 快翻, 本地化, etc.) for better skill activation
- `baoyu-translate`: expand trigger keywords (改成中文,快翻,本地化etc.) for better skill activation
- `baoyu-translate`: add proactive warning for long content in quick mode
- `baoyu-translate`: save frontmatter to `chunks/frontmatter.md` during chunking
+201 -3
View File
@@ -2,6 +2,204 @@
[English](./CHANGELOG.md) | 中文
## 1.117.0 - 2026-05-16
### 新功能
- `baoyu-article-illustrator`:新增批量生成策略 —— 优先使用后端原生批量接口,其次运行时并行调用,最后顺序生成;支持 `generation_batch_size` 配置和 `--batch-size` 参数
- `baoyu-comic`:新增批量生成策略,支持依赖感知排序(角色图先于页面)和 `--batch-size` 参数
- `baoyu-image-cards`:新增批量生成策略,遵循 image-1 锚定链,支持 `--batch-size` 参数
- `baoyu-slide-deck`:新增幻灯片图片批量生成策略,支持 `--batch-size` 参数
- `baoyu-xhs-images`:同步 baoyu-image-cards 的批量生成策略
## 1.116.5 - 2026-05-14
### 新功能
- `baoyu-post-to-wechat`:当设置 `TELEGRAM_BOT_TOKEN``TELEGRAM_CHAT_ID` 环境变量时,自动将微信登录二维码发送到 Telegram,支持无显示器/远程登录场景 (by @beforesun)
### 重构
- `baoyu-post-to-wechat`:加固 Telegram QR 通知逻辑 —— 增加 10 秒 fetch 超时、未配置环境变量时不再无谓等待 2 秒、回退截图改为视口范围以减小体积
## 1.116.4 - 2026-05-14
### 重构
- `baoyu-wechat-summary`:精简毒舌版提示词(99 → 23 行),在 SKILL.md Round 2 中增加 roast 专用的画像使用指引
## 1.116.3 - 2026-05-13
### 文档
- README 中将 Claude Code 替换为通用的 Agent 表述,体现多 Agent 支持(Claude Code、Codex 等)
## 1.116.2 - 2026-05-13
### 文档
- `baoyu-wechat-summary`:更新 SKILL.md 中的示例群名
## 1.116.1 - 2026-05-13
### 新功能
- `baoyu-wechat-summary`:初始化设置流程中新增 `data_root` 选项,允许用户在首次配置时自定义摘要输出目录
## 1.116.0 - 2026-05-13
### 新功能
- 新增 `baoyu-wechat-summary` 技能:将微信群聊精华提炼为结构化简报,支持话题提取、发言排行榜和群友画像。可生成正常版和毒舌版,支持增量模式和画像回溯初始化。需安装 [wx-cli](https://github.com/jackwener/wx-cli)。
## 1.115.4 - 2026-05-11
### 文档
- 图片生成后端选择规则强化:明确将 Codex `imagegen` 作为运行时原生工具的优先项(通过 `Skill` 工具调用,`skill: "imagegen"`),并禁止在无可用光栅后端时降级为 SVG/HTML/canvas 等代码渲染 —— 应退回到询问用户,而非静默输出代码绘图。规则同步更新到 `docs/image-generation-tools.md`,并按自包含规则内联到 `baoyu-article-illustrator``baoyu-comic``baoyu-cover-image``baoyu-image-cards``baoyu-infographic``baoyu-slide-deck``baoyu-xhs-images`
## 1.115.3 - 2026-05-11
### 修复
- `baoyu-post-to-wechat`:修复微信编辑器中复制粘贴前未激活标签页的问题 (by @fengxiaodong28)
- `baoyu-post-to-x`:X 文章图片插入改用工具栏媒体上传替代剪贴板粘贴方式
## 1.115.2 - 2026-05-10
### 修复
- `baoyu-post-to-x`:将显式请求 Codex Chrome 插件的场景作为独立浏览器控制模式处理,避免 Chrome Computer Use 或 CDP 回退流程静默接管;同时改进 X Articles 草稿创建按钮检测。
## 1.115.1 - 2026-05-10
### 修复
- `baoyu-imagine`:将默认 MiniMax 图片 API 端点改为 `https://api.minimaxi.com`,与当前官方图片生成文档保持一致;仍可通过 `MINIMAX_BASE_URL` 覆盖为 `https://api.minimax.io`
- `baoyu-image-gen`:同步已废弃图片生成入口的 MiniMax 默认端点和回归测试。
## 1.115.0 - 2026-05-09
### 新功能
- `baoyu-post-to-x`:新增 Chrome Computer Use 作为 Codex 环境下的首选执行模式。当 Computer Use 工具可用时,所有 X 界面操作(发帖、文章、引用、视频)均通过用户真实 Chrome 窗口完成,不再使用 CDP 脚本。CDP 脚本降级为 Computer Use 不可用或用户明确要求时的回退方案。
## 1.114.1 - 2026-05-08
### 修复
- `baoyu-danger-gemini-web`:修复当前 Gemini Web 响应中生成图 URL 以 `https://lh3.googleusercontent.com/gg-dl/` 形式出现、但不再包含旧版生成图 marker 时的图片提取失败问题。补充该响应形态的回归测试。 (by @evilstar2016)
## 1.114.0 - 2026-05-05
### 新功能
- `baoyu-infographic`:新增 `retro-popup-pop` 风格 —— 复古像素弹窗 × 波普信息图。画面由多个 80/90 年代桌面弹窗叠加而成(标题栏、关闭按钮、ERROR / ALERT 报错对话框、`PROBLEMS.EXE` 等复古文件窗、进度条、OK / CANCEL / FIX IT 按钮),统一粗黑描边、平涂色块,背景使用亮青蓝(#12B8DE)或复古奶油色(#F5F0E6)。与 `dense-modules` 布局尤其契合;同时升级为 `高密度信息大图` 关键词快捷方式与 `Product/Buying Guide` 内容类型的推荐风格。风格库从 21 个扩展至 22 个。
Credit to AJ@WaytoAGI.
### 文档
- `release-skills`:补充 GitHub Release 发布流程,包括从 changelog 段落提取 release notes、创建 annotated tag、执行 `gh release create/edit`,以及为已有 tag 回填历史 GitHub Releases。
## 1.113.0 - 2026-04-25
### 新功能
- `baoyu-imagine`:新增 DashScope Wan 2.7 图像模型支持(`wan2.7-image-pro``wan2.7-image`),通过阿里云百炼官方 API 直接调用,无需经 Replicate 转发。支持文生图、图像编辑、多图融合(最多 9 张参考图),按官方文档校验 `[1:8, 8:1]` 宽高比范围,并按模式应用不同的像素预算规则。强制 `parameters.n: 1` 以匹配 baoyu-imagine 的单图保存语义,显式拒绝 `--n > 1`,避免在用户不知情的情况下产生多图计费(API 在非拼图模式下默认 `n=4`)。允许通过 `--provider dashscope --ref ...` 显式启用 Wan 2.7 参考图工作流。
## 1.112.0 - 2026-04-24
### 新功能
- `baoyu-article-illustrator`:当内容分析未检测到明确信号时,将 `hand-drawn-edu`infographic + sketch-notes + macaron)作为通用默认预设 —— 暖奶油色纸面背景、黑色手绘线条、柔和马卡龙色块。`sketch-notes` 升级为 infographic / flowchart / comparison / framework 自动选择的首选风格;重写 sketch-notes 风格规范(马卡龙调色板、标准单页布局、仅限示意图的规则);新增对应的 prompt 模板块和默认工作流规则。
- `baoyu-article-illustrator`:新增 `hand-drawn-edu-flow`flowchart)和 `hand-drawn-edu-compare`(comparison)两个预设,保持相同的温暖教育风格。
### 破坏性变更
- `baoyu-article-illustrator``hand-drawn-edu` 预设的类型由 `flowchart` 改为 `infographic`。依赖原有流程图行为的用户请改用新增的 `hand-drawn-edu-flow` 预设。
### 修复
- `baoyu-post-to-x`:为 `scripts/md-to-html.ts` 添加入口守卫,确保 `x-article.ts` 导入 `parseMarkdown` 时不再触发 CLI 入口逻辑。与 `baoyu-post-to-weibo` 此前的修复保持一致。
## 1.111.1 - 2026-04-21
### 文档
- 为每个图片生成类技能(`baoyu-infographic``baoyu-cover-image``baoyu-slide-deck``baoyu-image-cards``baoyu-xhs-images``baoyu-article-illustrator`)新增顶级 `## Confirmation Policy` 章节作为单一事实源:显式调用技能、关键词快捷方式、EXTEND.md 偏好、自动推荐都只是"推荐输入",不授权跳过确认步骤。跳过确认必须由当前请求中的明确信号触发(`--no-confirm` / `--quick` / `--yes` / "直接生成" / 同义表达)。
- `baoyu-infographic`:将原先散落在 Step 5、Step 6、Default combination、Keyword Shortcuts 及 preferences 文档中的重复提醒合并为单一策略章节,由 Step 4 的 hard gate 引用。
## 1.111.0 - 2026-04-21
### 重构
- 统一所有图片生成类技能(`baoyu-infographic``baoyu-comic``baoyu-cover-image``baoyu-image-cards``baoyu-article-illustrator``baoyu-slide-deck``baoyu-xhs-images`)的后端选择规则:新增单一 `preferred_image_backend` 偏好字段(`auto | ask | <backend-id>`),用 4 步解析规则(当前请求覆盖 → 已保存偏好 → 自动选择 → 询问用户)替换原有的无状态询问规则。默认优先使用运行时原生工具(如 Codex `imagegen`、Hermes `image_generate`);未设置该字段的现有 `EXTEND.md` 文件视为 `auto`,无需升级 schema 版本。
- 在每个图片技能中新增顶级 `## Changing Preferences` 章节,作为固定后端和修改常用偏好的一级入口。
## 1.110.0 - 2026-04-21
### 新功能
- `baoyu-imagine`:新增 `gpt-image-2` 支持,用于 OpenAI 图像生成与编辑;将其设为默认 OpenAI 模型,并补齐官方尺寸/质量映射、自定义尺寸约束与 Azure 部署说明
## 1.109.0 - 2026-04-21
### 新功能
- `baoyu-url-to-markdown`:将 `baoyu-fetch` 运行时代码 vendored 到 `scripts/lib`,并通过本地 `scripts/baoyu-fetch` CLI 调用,使发布后的技能安装不再依赖 `baoyu-fetch` npm 包
### 修复
- `baoyu-fetch`:修复 X/Twitter 单条内容与 X Article 的视频解析,提取可播放的最高码率 MP4,并将文章视频渲染为 `[video](...)`
- `sync-clawhub`:改用共享 release 文件清单发布,确保无扩展名 CLI 入口、`bun.lock` 和 vendored `scripts/lib` 文件都会被上传
### 维护
-`defuddle` 升级到 0.17.0、`jsdom` 升级到 29.0.2,并通过 override 将 `@xmldom/xmldom` 固定到 0.8.13,清除 Defuddle 依赖链上的漏洞提示
## 1.108.0 - 2026-04-19
### 重构
- 将技能文档拆分为聚焦的参考文件,提升可维护性
- 将多技能共享代码迁移至 npm 包管理
## 1.107.0 - 2026-04-15
### 新功能
- `baoyu-diagram`:新增 SVG 转 @2x PNG 转换脚本 —— 使用 Sharp 自动将生成的 SVG 图表转为 @2x PNG;精简合并参考文件,新增 `{baseDir}` 路径解析以支持可移植的技能加载
### 修复
- `claude-plugin`:支持内联 marketplace manifest (#130)
## 1.106.0 - 2026-04-14
### 新功能
- `baoyu-diagram`:新增架构图丰富化规则 —— 自动扩展架构图,补充多客户端类型、各服务技术栈、数据库分层、消息总线和分色分类;新增完整结构布局模式、架构专用陷阱提示、网络拓扑模板和复杂图表布局计算
## 1.105.0 - 2026-04-13
### 新功能
- `baoyu-diagram`:统一为分析→确认→生成工作流 —— 移除单图/多图模式区分;技能现在分析任意输入素材,推荐图表类型和拆分策略,一次确认后批量生成所有图表
## 1.104.0 - 2026-04-13
### 新功能
- `baoyu-diagram`:新增 Mermaid 草图步骤(6d-0),在生成 SVG 前先写 Mermaid 代码块作为结构意图;在步骤 6f 新增 Mermaid–SVG 一致性检查
### 修复
- `baoyu-post-to-wechat`:在粘贴和输入操作前校验编辑器焦点,避免粘贴静默失败
## 1.103.1 - 2026-04-13
### 修复
- `baoyu-markdown-to-html`:修复文章摘要中 HTML 实体未解码及 HTML 标签未剥离的问题
- `baoyu-post-to-weibo`:修复文章摘要中 HTML 实体未解码及 HTML 标签未剥离的问题
## 1.103.0 - 2026-04-12
### 新功能
- `baoyu-diagram`:新增多图模式 —— 分析文章内容,在识别出的位置批量生成图表;新增 `--density` 参数(`minimal``balanced``per-section``rich`)和 `--mode` 参数(`single``multi``auto`);根据输入自动判断模式(文件路径→多图,短主题→单图);自动在文章中插入图表链接;输出目录结构 `diagram/{article-slug}/NN-{type}-{slug}/`
### 修复
- `baoyu-article-illustrator`:修复生成图像中出现颜色名称和色值文字的问题 —— 在所有调色板参考文件和提示构建规则中添加语义约束
- `baoyu-cover-image`:修复生成图像中出现颜色名称和色值文字的问题 —— 在所有调色板参考文件和提示模板中添加约束
- `baoyu-image-cards`:修复生成图像中出现颜色名称文字的问题
- `baoyu-post-to-wechat`:修复文章摘要中 HTML 实体未解码及 HTML 标签未剥离的问题,避免微信文章摘要显示乱码
## 1.102.0 - 2026-04-12
### 新功能
- `baoyu-imagine`:新增 OpenAI 兼容图像 API 方言支持 —— 新增 `--imageApiDialect` 参数、`OPENAI_IMAGE_API_DIALECT` 环境变量及 `default_image_api_dialect` 配置项,用于对接期望宽高比格式 `size``metadata.resolution` 的兼容网关
## 1.101.0 - 2026-04-12
### 新功能
- `baoyu-imagine`:改进 Replicate 服务商兼容性 —— 针对不同模型系列(nano-banana、Seedream 4.5、Seedream 5 Lite、Wan 2.7 Image)实现专属输入构建器和验证器;将默认模型更新为 `google/nano-banana-2`;修复 Seedream 4.5 自定义尺寸编码(改用 width/height schema);修复不支持的 Replicate 模型的宽高比默认值继承问题;在请求到达 API 前拦截多图请求 (by @justnode)
## 1.100.0 - 2026-04-12
### 新功能
- `baoyu-imagine`:新增 Z.AI GLM-Image 服务商支持,支持 `glm-image``cogview-4-250304` 模型,通过 Z.AI 同步图像 API 调用;配置 `ZAI_API_KEY`(或 `BIGMODEL_API_KEY` 向后兼容)
## 1.99.1 - 2026-04-11
### 修复
- `baoyu-article-illustrator`:未指定 `--model` 时,批处理任务中不再写入 `model` 字段,改由 `baoyu-imagine` 从环境变量或配置中解析默认值
## 1.99.0 - 2026-04-10
### 新功能
@@ -523,7 +721,7 @@
## 1.52.0 - 2026-03-06
### 新功能
- `baoyu-post-to-weibo`:新增 `--video` 视频上传支持(图片+视频最多 18 个文件)
- `baoyu-post-to-weibo`:新增 `--video` 视频上传支持(图片 + 视频最多 18 个文件)
- `baoyu-post-to-weibo`:上传方式从剪贴板粘贴改为 `DOM.setFileInputFiles`,提升上传可靠性
### 修复
@@ -986,7 +1184,7 @@
## 1.20.0 - 2026-01-24
### 新功能
- `baoyu-cover-image`:从类型 × 风格二维系统升级为**四维系统**——新增 `--text` 维度(none 无文字、title-only 仅标题、title-subtitle 标题+副标题、text-rich 丰富文字)控制文字密度,新增 `--mood` 维度(subtle 低调、balanced 平衡、bold 醒目)控制情感强度。新增 `--quick` 标志跳过确认,直接使用自动选择。
- `baoyu-cover-image`:从类型 × 风格二维系统升级为**四维系统**——新增 `--text` 维度(none 无文字、title-only 仅标题、title-subtitle 标题 + 副标题、text-rich 丰富文字)控制文字密度,新增 `--mood` 维度(subtle 低调、balanced 平衡、bold 醒目)控制情感强度。新增 `--quick` 标志跳过确认,直接使用自动选择。
### 文档
- `baoyu-cover-image`:新增维度参考文件——`references/dimensions/text.md`(文字密度级别)和 `references/dimensions/mood.md`(氛围强度级别)。
@@ -1006,7 +1204,7 @@
- `baoyu-image-gen`:代码模块化——类型定义提取至 `types.ts`provider 实现提取至 `providers/google.ts``providers/openai.ts`
### 文档
- `baoyu-comic`:改进 ohmsha 预设文档,明确默认哆啦A梦角色定义和视觉描述。
- `baoyu-comic`:改进 ohmsha 预设文档,明确默认哆啦 A 梦角色定义和视觉描述。
## 1.18.3 - 2026-01-23
+23 -5
View File
@@ -1,6 +1,6 @@
# CLAUDE.md
Claude Code marketplace plugin providing AI-powered content generation skills. Version: **1.97.0**.
Claude Code marketplace plugin providing AI-powered content generation skills. Version: **1.107.0**.
## Architecture
@@ -46,16 +46,32 @@ Execute: `${BUN_X} skills/<skill>/scripts/main.ts [options]`
| Rule | Description |
|------|-------------|
| **Load project skills first** | Project skills override system/user-level skills with same name |
| **Default image generation** | Use `skills/baoyu-imagine/SKILL.md` unless user specifies otherwise |
| **Default image generation** | Use whatever image backend is available in the current runtime; if multiple are available, ask the user which to use. See `## Image Generation Tools` below. |
Priority: project `skills/``$HOME/.baoyu-skills/` → system-level.
## Skill Self-Containment
Each skill under `skills/` (and `.claude/skills/`) is distributed and consumed independently — the folder may be extracted, copied into another project, or loaded without the rest of this repo. Therefore:
- **Never link from `SKILL.md` or its `references/` to files outside the skill's own directory.** This includes `docs/`, sibling skills, and the repo root. Relative paths like `../../docs/foo.md` break when the skill is used standalone.
- **Inline any shared convention** (e.g., user-input rules, image-generation backend selection) directly in the skill rather than referencing an out-of-skill doc.
- Shared docs under `docs/` exist for **repo-author guidance only** — they may be referenced from `CLAUDE.md` and `docs/creating-skills.md`, but NOT from any `SKILL.md`. This applies to `docs/user-input-tools.md`, `docs/image-generation-tools.md`, `docs/image-generation.md`, and any other `docs/` file.
## User Input Tools
Skills that prompt users for choices MUST declare the tool-selection convention **inline** in exactly one place per `SKILL.md` — a `## User Input Tools` section near the top. Do NOT link out to [docs/user-input-tools.md](docs/user-input-tools.md); that doc is the author-side canonical source — copy its body into each SKILL.md. Concrete `AskUserQuestion` mentions elsewhere in a skill are treated as examples — other runtimes substitute their local equivalent under the rule.
## Image Generation Tools
Skills that render images MUST declare the backend-selection convention **inline** in exactly one place per `SKILL.md` — a `## Image Generation Tools` section near the top (after `## User Input Tools`). Do NOT link out to [docs/image-generation-tools.md](docs/image-generation-tools.md); that doc is the author-side canonical source — copy its body into each SKILL.md. Concrete tool names (`imagegen`, `image_generate`, `baoyu-imagine`) elsewhere in a skill are treated as examples — other runtimes substitute their local equivalent under the rule. The rule is stateless: use whatever backend is available; if multiple, ask the user once; if none, ask how to proceed. Every rendered image's full prompt must be written to a standalone `prompts/NN-*.md` file before any backend is invoked. Backend skills (`baoyu-imagine`, `baoyu-image-gen`, `baoyu-danger-gemini-web`) are exempt — they render directly rather than selecting a backend.
## Deprecated Skills
| Skill | Note |
|-------|------|
| `baoyu-image-gen` | Migrated to `baoyu-imagine`. Do NOT add to `.claude-plugin/marketplace.json`. Do NOT update README for this skill. |
| `baoyu-xhs-images` | Migrated to `baoyu-image-cards`. Do NOT add to `.claude-plugin/marketplace.json`. Do NOT update README for this skill. |
| `baoyu-image-gen` | Superseded by `baoyu-imagine`. Not in `.claude-plugin/marketplace.json`. Kept functional — sync any cross-cutting changes with `baoyu-imagine`. |
| `baoyu-xhs-images` | Superseded by `baoyu-image-cards`. Not in `.claude-plugin/marketplace.json`. Kept functional — sync any cross-cutting changes with `baoyu-image-cards`. Do NOT update README for this skill. |
## Release Process
@@ -77,7 +93,9 @@ All skills MUST use `baoyu-` prefix. Details: [docs/creating-skills.md](docs/cre
| Topic | File |
|-------|------|
| Image generation guidelines | [docs/image-generation.md](docs/image-generation.md) |
| Image generation output guidelines | [docs/image-generation.md](docs/image-generation.md) |
| Image generation backend selection | [docs/image-generation-tools.md](docs/image-generation-tools.md) |
| User input tool convention | [docs/user-input-tools.md](docs/user-input-tools.md) |
| Chrome profile platform paths | [docs/chrome-profile.md](docs/chrome-profile.md) |
| Comic style maintenance | [docs/comic-style-maintenance.md](docs/comic-style-maintenance.md) |
| ClawHub/OpenClaw publishing | [docs/publishing.md](docs/publishing.md) |
+89 -33
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@@ -2,7 +2,7 @@
English | [中文](./README.zh.md)
Skills shared by Baoyu for improving daily work efficiency with Claude Code.
Skills shared by Baoyu for improving daily work efficiency with AI Agents (Claude Code, Codex, etc.).
## Prerequisites
@@ -40,7 +40,7 @@ Publishing to ClawHub releases the published skill under `MIT-0`, per ClawHub's
### Register as Plugin Marketplace
Run the following command in Claude Code:
Run the following command in the Agent:
```bash
/plugin marketplace add JimLiu/baoyu-skills
@@ -64,7 +64,7 @@ Run the following command in Claude Code:
**Option 3: Ask the Agent**
Simply tell Claude Code:
Simply tell the Agent:
> Please install Skills from github.com/JimLiu/baoyu-skills
@@ -80,7 +80,7 @@ The marketplace now exposes a single plugin so each skill is registered exactly
To update skills to the latest version:
1. Run `/plugin` in Claude Code
1. Run `/plugin` in the Agent
2. Switch to **Marketplaces** tab (use arrow keys or Tab)
3. Select **baoyu-skills**
4. Choose **Update marketplace**
@@ -274,19 +274,16 @@ Generate professional infographics with 21 layout types and 21 visual styles. An
#### baoyu-diagram
Generate publication-ready SVG diagrams — flowcharts, structural/architecture diagrams, and illustrative intuition diagrams. Claude writes real SVG code directly following a cohesive design system. Output is a single self-contained `.svg` file with embedded styles and auto dark-mode, ready to embed in articles, WeChat posts, slides, Notion, and docs.
Generate publication-ready SVG diagrams from source material — flowcharts, sequence/protocol diagrams, structural/architecture diagrams, and illustrative intuition diagrams. Analyzes input material to recommend diagram type(s) and splitting strategy, confirms the plan once, then generates all diagrams. Claude writes real SVG code directly following a cohesive design system. Output is self-contained `.svg` files with embedded styles and auto dark-mode.
```bash
# Auto-route on the verb in the prompt
# Topic string — skill analyzes and proposes a plan
/baoyu-diagram "how JWT authentication works"
# Force a specific type
/baoyu-diagram "Kubernetes architecture" --type structural
/baoyu-diagram "how attention works" --type illustrative
/baoyu-diagram "CI/CD pipeline" --type flowchart
/baoyu-diagram "OAuth 2.0 flow" --type sequence
# From a markdown source file
/baoyu-diagram path/to/content.md
# File path — skill reads, analyzes, and proposes a plan
/baoyu-diagram path/to/article.md
# Language and output path
/baoyu-diagram "微服务架构" --lang zh
@@ -296,17 +293,19 @@ Generate publication-ready SVG diagrams — flowcharts, structural/architecture
**Options**:
| Option | Description |
|--------|-------------|
| `--type <name>` | `flowchart`, `structural`, `illustrative`, `auto` (default) |
| `--type <name>` | `flowchart`, `sequence`, `structural`, `illustrative`, `class`, `auto` (default). Skips type recommendation. |
| `--lang <code>` | Output language (en, zh, ja, ...) |
| `--out <path>` | Output file path (default: `diagram/{slug}/diagram.svg`) |
| `--out <path>` | Output file path. Generates exactly one diagram focused on the most important aspect. |
**Diagram types**:
| Type | Reader need | Verbs that trigger it |
|------|-------------|------------------------|
| `flowchart` | Walk me through the steps in order | walk through, steps, process, lifecycle, workflow, state machine |
| `sequence` | Who talks to whom, in what order | protocol, handshake, auth flow, OAuth, TCP, request/response |
| `structural` | Show me what's inside what, how it's organised | architecture, components, topology, layout, what's inside |
| `illustrative` | Give me the intuition — draw the mechanism | how does X work, explain X, intuition for, why does X do Y |
| `class` | What are the types and how are they related | class diagram, UML, inheritance, interface, schema |
Not an image-generation skill — no LLM image model is called. Claude writes the SVG by hand with hand-computed layout math, so every diagram honors the design system. Embedded `<style>` block with `@media (prefers-color-scheme: dark)` means the same file renders correctly in both light and dark mode anywhere it's embedded.
@@ -580,7 +579,7 @@ Plain text input is treated as a regular post. Markdown files are treated as X A
```bash
# Post with text
/baoyu-post-to-x "Hello from Claude Code!"
/baoyu-post-to-x "Hello from AI Agent!"
# Post with images
/baoyu-post-to-x "Check this out" --image photo.png
@@ -715,7 +714,7 @@ AI-powered generation backends.
#### baoyu-imagine
AI SDK-based image generation using OpenAI, Azure OpenAI, Google, OpenRouter, DashScope (Aliyun Tongyi Wanxiang), MiniMax, Jimeng (即梦), Seedream (豆包), and Replicate APIs. Supports text-to-image, reference images, aspect ratios, custom sizes, batch generation, and quality presets.
AI SDK-based image generation using OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope (Aliyun Tongyi Wanxiang), MiniMax, Jimeng (即梦), Seedream (豆包), and Replicate APIs. Supports text-to-image, reference images, aspect ratios, custom sizes, batch generation, and quality presets.
```bash
# Basic generation (auto-detect provider)
@@ -728,10 +727,10 @@ AI SDK-based image generation using OpenAI, Azure OpenAI, Google, OpenRouter, Da
/baoyu-imagine --prompt "A banner" --image banner.png --quality 2k
# Specific provider
/baoyu-imagine --prompt "A cat" --image cat.png --provider openai
/baoyu-imagine --prompt "A cat" --image cat.png --provider openai --model gpt-image-2
# Azure OpenAI (model = deployment name)
/baoyu-imagine --prompt "A cat" --image cat.png --provider azure --model gpt-image-1.5
/baoyu-imagine --prompt "A cat" --image cat.png --provider azure --model gpt-image-2
# OpenRouter
/baoyu-imagine --prompt "A cat" --image cat.png --provider openrouter
@@ -745,15 +744,24 @@ AI SDK-based image generation using OpenAI, Azure OpenAI, Google, OpenRouter, Da
# DashScope with custom size
/baoyu-imagine --prompt "为咖啡品牌设计一张 21:9 横幅海报,包含清晰中文标题" --image banner.png --provider dashscope --model qwen-image-2.0-pro --size 2048x872
# Z.AI GLM-Image
/baoyu-imagine --prompt "一张带清晰中文标题的科技海报" --image out.png --provider zai
# MiniMax
/baoyu-imagine --prompt "A fashion editorial portrait by a bright studio window" --image out.jpg --provider minimax
# MiniMax with subject reference
/baoyu-imagine --prompt "A girl stands by the library window, cinematic lighting" --image out.jpg --provider minimax --model image-01 --ref portrait.png --ar 16:9
# Replicate
# Replicate (default: google/nano-banana-2)
/baoyu-imagine --prompt "A cat" --image cat.png --provider replicate
# Replicate Seedream 4.5
/baoyu-imagine --prompt "A studio portrait" --image portrait.png --provider replicate --model bytedance/seedream-4.5 --ar 3:2
# Replicate Wan 2.7 Image Pro
/baoyu-imagine --prompt "A concept frame" --image frame.png --provider replicate --model wan-video/wan-2.7-image-pro --size 2048x1152
# Jimeng (即梦)
/baoyu-imagine --prompt "一只可爱的猫" --image cat.png --provider jimeng
@@ -775,14 +783,15 @@ AI SDK-based image generation using OpenAI, Azure OpenAI, Google, OpenRouter, Da
| `--image` | Output image path (required) |
| `--batchfile` | JSON batch file for multi-image generation |
| `--jobs` | Worker count for batch mode |
| `--provider` | `google`, `openai`, `azure`, `openrouter`, `dashscope`, `minimax`, `jimeng`, `seedream`, or `replicate` |
| `--model`, `-m` | Model ID or deployment name. Azure uses deployment name; OpenRouter uses full model IDs; MiniMax uses `image-01` / `image-01-live` |
| `--provider` | `google`, `openai`, `azure`, `openrouter`, `dashscope`, `zai`, `minimax`, `jimeng`, `seedream`, or `replicate` |
| `--model`, `-m` | Model ID or deployment name. Azure uses deployment name; OpenRouter uses full model IDs; Z.AI uses `glm-image`; MiniMax uses `image-01` / `image-01-live` |
| `--ar` | Aspect ratio (e.g., `16:9`, `1:1`, `4:3`) |
| `--size` | Size (e.g., `1024x1024`) |
| `--size` | Size (e.g., `1024x1024`; `gpt-image-2` accepts valid custom sizes up to 3840px max edge) |
| `--quality` | `normal` or `2k` (default: `2k`) |
| `--imageSize` | `1K`, `2K`, or `4K` for Google/OpenRouter |
| `--ref` | Reference images (Google, OpenAI, Azure OpenAI, OpenRouter, Replicate, MiniMax, or Seedream 5.0/4.5/4.0) |
| `--n` | Number of images per request |
| `--imageApiDialect` | `openai-native` or `ratio-metadata` for OpenAI-compatible gateways |
| `--ref` | Reference images (Google, OpenAI, Azure OpenAI, OpenRouter, Replicate supported families, MiniMax, or Seedream 5.0/4.5/4.0) |
| `--n` | Number of images per request (`replicate` currently requires `--n 1`) |
| `--json` | JSON output |
**Environment Variables** (see [Environment Configuration](#environment-configuration) for setup):
@@ -794,22 +803,27 @@ AI SDK-based image generation using OpenAI, Azure OpenAI, Google, OpenRouter, Da
| `GOOGLE_API_KEY` | Google API key | - |
| `GEMINI_API_KEY` | Alias for `GOOGLE_API_KEY` | - |
| `DASHSCOPE_API_KEY` | DashScope API key (Aliyun) | - |
| `ZAI_API_KEY` | Z.AI API key | - |
| `BIGMODEL_API_KEY` | Backward-compatible alias for Z.AI API key | - |
| `MINIMAX_API_KEY` | MiniMax API key | - |
| `REPLICATE_API_TOKEN` | Replicate API token | - |
| `JIMENG_ACCESS_KEY_ID` | Jimeng Volcengine access key | - |
| `JIMENG_SECRET_ACCESS_KEY` | Jimeng Volcengine secret key | - |
| `ARK_API_KEY` | Seedream Volcengine ARK API key | - |
| `OPENAI_IMAGE_MODEL` | OpenAI model | `gpt-image-1.5` |
| `OPENAI_IMAGE_MODEL` | OpenAI model | `gpt-image-2` |
| `AZURE_OPENAI_DEPLOYMENT` | Azure default deployment name | - |
| `AZURE_OPENAI_IMAGE_MODEL` | Backward-compatible Azure deployment/model alias | `gpt-image-1.5` |
| `AZURE_OPENAI_IMAGE_MODEL` | Backward-compatible Azure deployment/model alias | `gpt-image-2` |
| `OPENROUTER_IMAGE_MODEL` | OpenRouter model | `google/gemini-3.1-flash-image-preview` |
| `GOOGLE_IMAGE_MODEL` | Google model | `gemini-3-pro-image-preview` |
| `DASHSCOPE_IMAGE_MODEL` | DashScope model | `qwen-image-2.0-pro` |
| `ZAI_IMAGE_MODEL` | Z.AI model | `glm-image` |
| `BIGMODEL_IMAGE_MODEL` | Backward-compatible alias for Z.AI model | `glm-image` |
| `MINIMAX_IMAGE_MODEL` | MiniMax model | `image-01` |
| `REPLICATE_IMAGE_MODEL` | Replicate model | `google/nano-banana-pro` |
| `REPLICATE_IMAGE_MODEL` | Replicate model | `google/nano-banana-2` |
| `JIMENG_IMAGE_MODEL` | Jimeng model | `jimeng_t2i_v40` |
| `SEEDREAM_IMAGE_MODEL` | Seedream model | `doubao-seedream-5-0-260128` |
| `OPENAI_BASE_URL` | Custom OpenAI endpoint | - |
| `OPENAI_IMAGE_API_DIALECT` | OpenAI-compatible image API dialect (`openai-native` or `ratio-metadata`) | `openai-native` |
| `OPENAI_IMAGE_USE_CHAT` | Use `/chat/completions` for OpenAI image generation | `false` |
| `AZURE_OPENAI_BASE_URL` | Azure resource or deployment endpoint | - |
| `AZURE_API_VERSION` | Azure image API version | `2025-04-01-preview` |
@@ -818,7 +832,9 @@ AI SDK-based image generation using OpenAI, Azure OpenAI, Google, OpenRouter, Da
| `OPENROUTER_TITLE` | Optional app name for OpenRouter attribution | - |
| `GOOGLE_BASE_URL` | Custom Google endpoint | - |
| `DASHSCOPE_BASE_URL` | Custom DashScope endpoint | - |
| `MINIMAX_BASE_URL` | Custom MiniMax endpoint | `https://api.minimax.io` |
| `ZAI_BASE_URL` | Custom Z.AI endpoint | `https://api.z.ai/api/paas/v4` |
| `BIGMODEL_BASE_URL` | Backward-compatible alias for Z.AI endpoint | - |
| `MINIMAX_BASE_URL` | Custom MiniMax endpoint | `https://api.minimaxi.com` |
| `REPLICATE_BASE_URL` | Custom Replicate endpoint | - |
| `JIMENG_BASE_URL` | Custom Jimeng endpoint | `https://visual.volcengineapi.com` |
| `JIMENG_REGION` | Jimeng region | `cn-north-1` |
@@ -830,16 +846,20 @@ AI SDK-based image generation using OpenAI, Azure OpenAI, Google, OpenRouter, Da
**Provider Notes**:
- Azure OpenAI: `--model` means Azure deployment name, not the underlying model family.
- DashScope: `qwen-image-2.0-pro` is the recommended default for custom `--size`, `21:9`, and strong Chinese/English text rendering.
- Z.AI: `glm-image` is recommended for posters, diagrams, and text-heavy Chinese/English images. Reference images are not supported.
- MiniMax: `image-01` supports documented custom `width` / `height`; `image-01-live` is lower latency and works best with `--ar`.
- MiniMax reference images are sent as `subject_reference`; the current API is specialized toward character / portrait consistency.
- Jimeng does not support reference images.
- Seedream reference images are supported by Seedream 5.0 / 4.5 / 4.0, not Seedream 3.0.
- Replicate defaults to `google/nano-banana-2`. `baoyu-imagine` only enables Replicate advanced options for `google/nano-banana*`, `bytedance/seedream-4.5`, `bytedance/seedream-5-lite`, `wan-video/wan-2.7-image`, and `wan-video/wan-2.7-image-pro`.
- Replicate currently saves exactly one output image per request. `--n > 1` is blocked locally instead of silently dropping extra results.
- Replicate model behavior is family-specific: nano-banana uses `--quality` / `--ar`, Seedream uses validated `--size` / `--ar`, and Wan uses validated `--size` (with `--ar` converted locally to a concrete size).
**Provider Auto-Selection**:
1. If `--provider` is specified → use it
2. If `--ref` is provided and no provider is specified → try Google, then OpenAI, Azure, OpenRouter, Replicate, Seedream, and finally MiniMax
3. If only one API key is available → use that provider
4. If multiple providers are available → default to Google
4. If multiple providers are available → default to Google, then OpenAI, Azure, OpenRouter, DashScope, Z.AI, MiniMax, Replicate, Jimeng, Seedream
#### baoyu-danger-gemini-web
@@ -1092,6 +1112,36 @@ Custom style descriptions are also accepted, e.g., `--style "poetic and lyrical"
- Translator's notes for cultural/domain-specific references
- Output directory with all intermediate files preserved
#### baoyu-wechat-summary
Summarize WeChat group chat highlights into a structured digest. Extracts topics, quotes, and stats from group messages using [wx-cli](https://github.com/jackwener/wx-cli). Maintains per-group history and per-user profiles across runs. Supports normal and roast (毒舌) versions.
```bash
# Summarize a group's recent messages
/baoyu-wechat-summary 相亲相爱一家人 最近 1
# Weekly summary
/baoyu-wechat-summary AI 技术群 最近 7
# Incremental (since last digest)
/baoyu-wechat-summary 相亲相爱一家人
# Roast version
/baoyu-wechat-summary 相亲相爱一家人 最近 3 天 毒舌版
```
**Requirements**:
- [wx-cli](https://github.com/jackwener/wx-cli) installed (`npm install -g @jackwener/wx-cli`)
- WeChat 4.x running and logged in on macOS
**Features**:
- Topic extraction with attribution and quotes
- Message leaderboard and per-user profiles
- Incremental mode (picks up where last digest left off)
- Multi-day range splitting for large batches
- Normal and roast (毒舌) digest versions
- Profile backfill from historical digests
## Environment Configuration
Some skills require API keys or custom configuration. Environment variables can be set in `.env` files:
@@ -1112,14 +1162,14 @@ mkdir -p ~/.baoyu-skills
cat > ~/.baoyu-skills/.env << 'EOF'
# OpenAI
OPENAI_API_KEY=sk-xxx
OPENAI_IMAGE_MODEL=gpt-image-1.5
OPENAI_IMAGE_MODEL=gpt-image-2
# OPENAI_BASE_URL=https://api.openai.com/v1
# OPENAI_IMAGE_USE_CHAT=false
# Azure OpenAI
AZURE_OPENAI_API_KEY=xxx
AZURE_OPENAI_BASE_URL=https://your-resource.openai.azure.com
AZURE_OPENAI_DEPLOYMENT=gpt-image-1.5
AZURE_OPENAI_DEPLOYMENT=gpt-image-2
# AZURE_API_VERSION=2025-04-01-preview
# OpenRouter
@@ -1139,14 +1189,19 @@ DASHSCOPE_API_KEY=sk-xxx
DASHSCOPE_IMAGE_MODEL=qwen-image-2.0-pro
# DASHSCOPE_BASE_URL=https://dashscope.aliyuncs.com/api/v1
# Z.AI
ZAI_API_KEY=xxx
ZAI_IMAGE_MODEL=glm-image
# ZAI_BASE_URL=https://api.z.ai/api/paas/v4
# MiniMax
MINIMAX_API_KEY=xxx
MINIMAX_IMAGE_MODEL=image-01
# MINIMAX_BASE_URL=https://api.minimax.io
# MINIMAX_BASE_URL=https://api.minimaxi.com
# Replicate
REPLICATE_API_TOKEN=r8_xxx
REPLICATE_IMAGE_MODEL=google/nano-banana-pro
REPLICATE_IMAGE_MODEL=google/nano-banana-2
# REPLICATE_BASE_URL=https://api.replicate.com
# Jimeng (即梦)
@@ -1239,6 +1294,7 @@ This project was inspired by and builds upon the following open source projects:
- [doocs/md](https://github.com/doocs/md) by [@doocs](https://github.com/doocs) — Core implementation logic for Markdown to HTML conversion
- [High-density Infographic Prompt](https://waytoagi.feishu.cn/wiki/YG0zwalijihRREkgmPzcWRInnUg) by AJ@WaytoAGI — Inspiration for the infographic skill
- [qiaomu-mondo-poster-design](https://github.com/joeseesun/qiaomu-mondo-poster-design) by [@joeseesun](https://github.com/joeseesun)(乔木) — Inspiration for the Mondo style
- [architecture-diagram-generator](https://github.com/Cocoon-AI/architecture-diagram-generator) by [@Cocoon-AI](https://github.com/Cocoon-AI) — Inspiration for the diagram skill's design system
## License
+90 -34
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@@ -2,7 +2,7 @@
[English](./README.md) | 中文
宝玉分享的 Claude Code 技能集,提升日常工作效率。
宝玉分享的 AI Agent 技能集(适用于 Claude Code、Codex 等),提升日常工作效率。
## 前置要求
@@ -40,7 +40,7 @@ clawhub install baoyu-markdown-to-html
### 注册插件市场
Claude Code 中运行:
Agent 中运行:
```bash
/plugin marketplace add JimLiu/baoyu-skills
@@ -64,7 +64,7 @@ clawhub install baoyu-markdown-to-html
**方式三:告诉 Agent**
直接告诉 Claude Code
直接告诉 Agent
> 请帮我安装 github.com/JimLiu/baoyu-skills 中的 Skills
@@ -80,7 +80,7 @@ clawhub install baoyu-markdown-to-html
更新技能到最新版本:
1.Claude Code 中运行 `/plugin`
1.Agent 中运行 `/plugin`
2. 切换到 **Marketplaces** 标签页(使用方向键或 Tab
3. 选择 **baoyu-skills**
4. 选择 **Update marketplace**
@@ -274,19 +274,16 @@ clawhub install baoyu-markdown-to-html
#### baoyu-diagram
生成可直接发布的 SVG 图表 —— 包括流程图、架构/结构图、示意图(直觉图解)。Claude 直接输出符合统一设计规范的真实 SVG 代码,产物是单个自包含的 `.svg` 文件,内嵌样式并自动支持深色模式,可直接嵌入文章、微信公众号、幻灯片、Notion 和各类文档中
从源素材生成可直接发布的 SVG 图表 —— 包括流程图、时序/协议图、架构/结构图、示意图(直觉图解)。分析输入素材,推荐图表类型和拆分策略,一次确认后批量生成。Claude 直接输出符合统一设计规范的真实 SVG 代码,产物是自包含的 `.svg` 文件,内嵌样式并自动支持深色模式。
```bash
# 自动根据提示词中的动词路由类型
# 主题描述 —— 技能分析并提出方案
/baoyu-diagram "JWT 认证流程是怎么工作的"
# 强制指定类型
/baoyu-diagram "Kubernetes 架构" --type structural
/baoyu-diagram "注意力机制原理" --type illustrative
/baoyu-diagram "CI/CD 流水线" --type flowchart
/baoyu-diagram "OAuth 2.0 流程" --type sequence
# 从 Markdown 源文件生成
/baoyu-diagram path/to/content.md
# 文件路径 —— 技能读取、分析并提出方案
/baoyu-diagram path/to/article.md
# 语言和输出路径
/baoyu-diagram "微服务架构" --lang zh
@@ -296,17 +293,19 @@ clawhub install baoyu-markdown-to-html
**参数**
| 参数 | 说明 |
|------|------|
| `--type <name>` | `flowchart`(流程图)`structural`(结构/架构图)`illustrative`(示意图)`auto`(默认,按动词路由) |
| `--type <name>` | `flowchart``sequence``structural``illustrative``class``auto`(默认)。跳过类型推荐直接生成。 |
| `--lang <code>` | 输出语言(en、zh、ja 等) |
| `--out <path>` | 输出文件路径(默认:`diagram/{slug}/diagram.svg` |
| `--out <path>` | 输出文件路径。生成聚焦于最重要内容的单张图表。 |
**种图表类型**
**种图表类型**
| 类型 | 适用场景 | 触发动词 |
|------|----------|----------|
| `flowchart` | 按顺序走一遍流程 | 流程、步骤、工作流、生命周期、状态机 |
| `sequence` | 谁和谁通信、按什么顺序 | 协议、握手、认证流程、OAuth、TCP、请求/响应 |
| `structural` | 展示什么包含什么、如何组织 | 架构、组件、拓扑、布局、什么在什么里面 |
| `illustrative` | 建立直觉 —— 画出机制本身 | 怎么工作、原理、为什么、直观解释 |
| `class` | 类型是什么、它们如何关联 | 类图、UML、继承、接口、数据模型 |
本技能不调用任何图像生成模型 —— Claude 通过手算坐标直接写 SVG 代码,确保每个图表都遵守设计规范。内嵌的 `<style>` 块包含 `@media (prefers-color-scheme: dark)`,同一个文件在浅色和深色模式下均正确渲染,可嵌入到任意支持 SVG 的宿主环境中。
@@ -580,7 +579,7 @@ clawhub install baoyu-markdown-to-html
```bash
# 发布文字
/baoyu-post-to-x "Hello from Claude Code!"
/baoyu-post-to-x "Hello from AI Agent!"
# 发布带图片
/baoyu-post-to-x "看看这个" --image photo.png
@@ -715,7 +714,7 @@ AI 驱动的生成后端。
#### baoyu-imagine
基于 AI SDK 的图像生成,支持 OpenAI、Azure OpenAI、Google、OpenRouter、DashScope(阿里通义万相)、MiniMax、即梦(Jimeng)、豆包(Seedream)和 Replicate API。支持文生图、参考图、宽高比、自定义尺寸、批量生成和质量预设。
基于 AI SDK 的图像生成,支持 OpenAI GPT Image 2、Azure OpenAI、Google、OpenRouter、DashScope(阿里通义万相)、MiniMax、即梦(Jimeng)、豆包(Seedream)和 Replicate API。支持文生图、参考图、宽高比、自定义尺寸、批量生成和质量预设。
```bash
# 基础生成(自动检测服务商)
@@ -728,10 +727,10 @@ AI 驱动的生成后端。
/baoyu-imagine --prompt "横幅图" --image banner.png --quality 2k
# 指定服务商
/baoyu-imagine --prompt "一只猫" --image cat.png --provider openai
/baoyu-imagine --prompt "一只猫" --image cat.png --provider openai --model gpt-image-2
# Azure OpenAImodel 为部署名称)
/baoyu-imagine --prompt "一只猫" --image cat.png --provider azure --model gpt-image-1.5
/baoyu-imagine --prompt "一只猫" --image cat.png --provider azure --model gpt-image-2
# OpenRouter
/baoyu-imagine --prompt "一只猫" --image cat.png --provider openrouter
@@ -745,15 +744,24 @@ AI 驱动的生成后端。
# DashScope 自定义尺寸
/baoyu-imagine --prompt "为咖啡品牌设计一张 21:9 横幅海报,包含清晰中文标题" --image banner.png --provider dashscope --model qwen-image-2.0-pro --size 2048x872
# Z.AI GLM-Image
/baoyu-imagine --prompt "一张带清晰中文标题的科技海报" --image out.png --provider zai
# MiniMax
/baoyu-imagine --prompt "A fashion editorial portrait by a bright studio window" --image out.jpg --provider minimax
# MiniMax + 角色参考图
/baoyu-imagine --prompt "A girl stands by the library window, cinematic lighting" --image out.jpg --provider minimax --model image-01 --ref portrait.png --ar 16:9
# Replicate
# Replicate(默认:google/nano-banana-2
/baoyu-imagine --prompt "一只猫" --image cat.png --provider replicate
# Replicate Seedream 4.5
/baoyu-imagine --prompt "一张影棚人像" --image portrait.png --provider replicate --model bytedance/seedream-4.5 --ar 3:2
# Replicate Wan 2.7 Image Pro
/baoyu-imagine --prompt "一张概念分镜" --image frame.png --provider replicate --model wan-video/wan-2.7-image-pro --size 2048x1152
# 即梦(Jimeng
/baoyu-imagine --prompt "一只可爱的猫" --image cat.png --provider jimeng
@@ -775,14 +783,15 @@ AI 驱动的生成后端。
| `--image` | 输出图片路径(必需) |
| `--batchfile` | 多图批量生成的 JSON 文件 |
| `--jobs` | 批量模式的并发 worker 数 |
| `--provider` | `google``openai``azure``openrouter``dashscope``minimax``jimeng``seedream``replicate` |
| `--model`, `-m` | 模型 ID 或部署名。Azure 使用部署名;OpenRouter 使用完整模型 IDMiniMax 使用 `image-01` / `image-01-live` |
| `--provider` | `google``openai``azure``openrouter``dashscope``zai``minimax``jimeng``seedream``replicate` |
| `--model`, `-m` | 模型 ID 或部署名。Azure 使用部署名;OpenRouter 使用完整模型 IDZ.AI 使用 `glm-image`MiniMax 使用 `image-01` / `image-01-live` |
| `--ar` | 宽高比(如 `16:9``1:1``4:3` |
| `--size` | 尺寸(如 `1024x1024` |
| `--size` | 尺寸(如 `1024x1024``gpt-image-2` 支持最长边不超过 3840px 的有效自定义尺寸 |
| `--quality` | `normal``2k`(默认:`2k` |
| `--imageSize` | Google/OpenRouter 使用的 `1K``2K``4K` |
| `--ref` | 参考图片(Google、OpenAI、Azure OpenAI、OpenRouter、Replicate、MiniMax 或 Seedream 5.0/4.5/4.0 |
| `--n` | 单次请求生成图片数量 |
| `--imageApiDialect` | OpenAI 兼容网关的图像 API 方言(`openai-native``ratio-metadata` |
| `--ref` | 参考图片(Google、OpenAI、Azure OpenAI、OpenRouter、Replicate 支持的模型家族、MiniMax 或 Seedream 5.0/4.5/4.0 |
| `--n` | 单次请求生成图片数量(`replicate` 当前只支持 `--n 1` |
| `--json` | 输出 JSON 结果 |
**环境变量**(配置方法见[环境配置](#环境配置)):
@@ -794,22 +803,27 @@ AI 驱动的生成后端。
| `GOOGLE_API_KEY` | Google API 密钥 | - |
| `GEMINI_API_KEY` | `GOOGLE_API_KEY` 的别名 | - |
| `DASHSCOPE_API_KEY` | DashScope API 密钥(阿里云) | - |
| `ZAI_API_KEY` | Z.AI API 密钥 | - |
| `BIGMODEL_API_KEY` | Z.AI API 密钥向后兼容别名 | - |
| `MINIMAX_API_KEY` | MiniMax API 密钥 | - |
| `REPLICATE_API_TOKEN` | Replicate API Token | - |
| `JIMENG_ACCESS_KEY_ID` | 即梦火山引擎 Access Key | - |
| `JIMENG_SECRET_ACCESS_KEY` | 即梦火山引擎 Secret Key | - |
| `ARK_API_KEY` | 豆包火山引擎 ARK API 密钥 | - |
| `OPENAI_IMAGE_MODEL` | OpenAI 模型 | `gpt-image-1.5` |
| `OPENAI_IMAGE_MODEL` | OpenAI 模型 | `gpt-image-2` |
| `AZURE_OPENAI_DEPLOYMENT` | Azure 默认部署名 | - |
| `AZURE_OPENAI_IMAGE_MODEL` | 兼容旧配置的 Azure 部署/模型别名 | `gpt-image-1.5` |
| `AZURE_OPENAI_IMAGE_MODEL` | 兼容旧配置的 Azure 部署/模型别名 | `gpt-image-2` |
| `OPENROUTER_IMAGE_MODEL` | OpenRouter 模型 | `google/gemini-3.1-flash-image-preview` |
| `GOOGLE_IMAGE_MODEL` | Google 模型 | `gemini-3-pro-image-preview` |
| `DASHSCOPE_IMAGE_MODEL` | DashScope 模型 | `qwen-image-2.0-pro` |
| `ZAI_IMAGE_MODEL` | Z.AI 模型 | `glm-image` |
| `BIGMODEL_IMAGE_MODEL` | Z.AI 模型向后兼容别名 | `glm-image` |
| `MINIMAX_IMAGE_MODEL` | MiniMax 模型 | `image-01` |
| `REPLICATE_IMAGE_MODEL` | Replicate 模型 | `google/nano-banana-pro` |
| `REPLICATE_IMAGE_MODEL` | Replicate 模型 | `google/nano-banana-2` |
| `JIMENG_IMAGE_MODEL` | 即梦模型 | `jimeng_t2i_v40` |
| `SEEDREAM_IMAGE_MODEL` | 豆包模型 | `doubao-seedream-5-0-260128` |
| `OPENAI_BASE_URL` | 自定义 OpenAI 端点 | - |
| `OPENAI_IMAGE_API_DIALECT` | OpenAI 兼容图像 API 方言(`openai-native``ratio-metadata` | `openai-native` |
| `OPENAI_IMAGE_USE_CHAT` | OpenAI 改走 `/chat/completions` | `false` |
| `AZURE_OPENAI_BASE_URL` | Azure 资源或部署端点 | - |
| `AZURE_API_VERSION` | Azure 图像 API 版本 | `2025-04-01-preview` |
@@ -818,7 +832,9 @@ AI 驱动的生成后端。
| `OPENROUTER_TITLE` | OpenRouter 归因用应用名 | - |
| `GOOGLE_BASE_URL` | 自定义 Google 端点 | - |
| `DASHSCOPE_BASE_URL` | 自定义 DashScope 端点 | - |
| `MINIMAX_BASE_URL` | 自定义 MiniMax 端点 | `https://api.minimax.io` |
| `ZAI_BASE_URL` | 自定义 Z.AI 端点 | `https://api.z.ai/api/paas/v4` |
| `BIGMODEL_BASE_URL` | Z.AI 端点向后兼容别名 | - |
| `MINIMAX_BASE_URL` | 自定义 MiniMax 端点 | `https://api.minimaxi.com` |
| `REPLICATE_BASE_URL` | 自定义 Replicate 端点 | - |
| `JIMENG_BASE_URL` | 自定义即梦端点 | `https://visual.volcengineapi.com` |
| `JIMENG_REGION` | 即梦区域 | `cn-north-1` |
@@ -830,16 +846,20 @@ AI 驱动的生成后端。
**Provider 说明**
- Azure OpenAI`--model` 表示 Azure deployment name,不是底层模型家族名。
- DashScope`qwen-image-2.0-pro` 是自定义 `--size``21:9` 和中英文排版的推荐默认模型。
- Z.AI`glm-image` 适合海报、图表和中英文排版密集的图片生成,暂不支持参考图。
- MiniMax`image-01` 支持官方文档里的自定义 `width` / `height``image-01-live` 更偏低延迟,适合配合 `--ar` 使用。
- MiniMax 参考图会走 `subject_reference`,当前能力更偏角色 / 人像一致性。
- 即梦不支持参考图。
- 豆包参考图能力仅适用于 Seedream 5.0 / 4.5 / 4.0,不适用于 Seedream 3.0。
- Replicate 默认模型改为 `google/nano-banana-2``baoyu-imagine` 目前只对 `google/nano-banana*``bytedance/seedream-4.5``bytedance/seedream-5-lite``wan-video/wan-2.7-image``wan-video/wan-2.7-image-pro` 开启本地能力识别与校验。
- Replicate 当前只保存单张输出图,`--n > 1` 会在本地直接报错,避免多图结果被静默丢弃。
- Replicate 的参数能力按模型家族区分:nano-banana 走 `--quality` / `--ar`Seedream 走校验后的 `--size` / `--ar`Wan 走校验后的 `--size``--ar` 会先在本地换算成具体尺寸)。
**服务商自动选择**
1. 如果指定了 `--provider` → 使用指定的
2. 如果传了 `--ref` 且未指定 provider → 依次尝试 Google、OpenAI、Azure、OpenRouter、Replicate、Seedream,最后是 MiniMax
3. 如果只有一个 API 密钥 → 使用对应服务商
4. 如果多个可用 → 默认使用 Google
4. 如果多个可用 → 默认使用 Google,然后依次为 OpenAI、Azure、OpenRouter、DashScope、Z.AI、MiniMax、Replicate、即梦、豆包
#### baoyu-danger-gemini-web
@@ -1092,6 +1112,36 @@ AI 驱动的生成后端。
- 为文化/专业术语添加译注
- 输出目录保留所有中间文件
#### baoyu-wechat-summary
微信群聊精华提取。使用 [wx-cli](https://github.com/jackwener/wx-cli) 从群消息中提取话题、引言和统计数据,生成结构化简报。支持跨次运行的群聊历史和群友画像维护,可生成正常版和毒舌版。
```bash
# 总结群最近消息
/baoyu-wechat-summary 相亲相爱一家人 最近 1
# 周报
/baoyu-wechat-summary AI 技术群 最近 7
# 增量模式(从上次摘要继续)
/baoyu-wechat-summary 相亲相爱一家人
# 毒舌版
/baoyu-wechat-summary 相亲相爱一家人 最近 3 天 毒舌版
```
**前置要求**
- 安装 [wx-cli](https://github.com/jackwener/wx-cli)`npm install -g @jackwener/wx-cli`
- macOS 上运行并登录 WeChat 4.x
**特性**
- 话题提取,带归属和引言
- 发言排行榜和群友画像
- 增量模式(从上次摘要断点继续)
- 大批量消息自动按天分割
- 正常版和毒舌版两种风格
- 支持从历史摘要回溯初始化画像
## 环境配置
部分技能需要 API 密钥或自定义配置。环境变量可以在 `.env` 文件中设置:
@@ -1112,14 +1162,14 @@ mkdir -p ~/.baoyu-skills
cat > ~/.baoyu-skills/.env << 'EOF'
# OpenAI
OPENAI_API_KEY=sk-xxx
OPENAI_IMAGE_MODEL=gpt-image-1.5
OPENAI_IMAGE_MODEL=gpt-image-2
# OPENAI_BASE_URL=https://api.openai.com/v1
# OPENAI_IMAGE_USE_CHAT=false
# Azure OpenAI
AZURE_OPENAI_API_KEY=xxx
AZURE_OPENAI_BASE_URL=https://your-resource.openai.azure.com
AZURE_OPENAI_DEPLOYMENT=gpt-image-1.5
AZURE_OPENAI_DEPLOYMENT=gpt-image-2
# AZURE_API_VERSION=2025-04-01-preview
# OpenRouter
@@ -1139,14 +1189,19 @@ DASHSCOPE_API_KEY=sk-xxx
DASHSCOPE_IMAGE_MODEL=qwen-image-2.0-pro
# DASHSCOPE_BASE_URL=https://dashscope.aliyuncs.com/api/v1
# Z.AI
ZAI_API_KEY=xxx
ZAI_IMAGE_MODEL=glm-image
# ZAI_BASE_URL=https://api.z.ai/api/paas/v4
# MiniMax
MINIMAX_API_KEY=xxx
MINIMAX_IMAGE_MODEL=image-01
# MINIMAX_BASE_URL=https://api.minimax.io
# MINIMAX_BASE_URL=https://api.minimaxi.com
# Replicate
REPLICATE_API_TOKEN=r8_xxx
REPLICATE_IMAGE_MODEL=google/nano-banana-pro
REPLICATE_IMAGE_MODEL=google/nano-banana-2
# REPLICATE_BASE_URL=https://api.replicate.com
# 即梦(Jimeng
@@ -1239,6 +1294,7 @@ HTTP_PROXY=http://127.0.0.1:7890 HTTPS_PROXY=http://127.0.0.1:7890 /baoyu-danger
- [doocs/md](https://github.com/doocs/md) by [@doocs](https://github.com/doocs) — Markdown 转 HTML 的核心实现逻辑
- [高密度信息图 Prompt](https://waytoagi.feishu.cn/wiki/YG0zwalijihRREkgmPzcWRInnUg) by AJ@WaytoAGI — 信息图技能的灵感来源
- [qiaomu-mondo-poster-design](https://github.com/joeseesun/qiaomu-mondo-poster-design) by [@joeseesun](https://github.com/joeseesun)(乔木) — Mondo 风格的灵感来源
- [architecture-diagram-generator](https://github.com/Cocoon-AI/architecture-diagram-generator) by [@Cocoon-AI](https://github.com/Cocoon-AI) — 图表技能设计体系的灵感来源
## 许可证
BIN
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+39 -1
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@@ -127,7 +127,7 @@ test -f "$HOME/.baoyu-skills/<skill-name>/EXTEND.md" && echo "user"
| Result | Action |
|--------|--------|
| Found | Read, parse, display summary |
| Not found | Ask user with AskUserQuestion |
| Not found | Ask user via the runtime's user-input tool (see [user-input-tools.md](user-input-tools.md)) |
```
End of SKILL.md should include:
@@ -135,3 +135,41 @@ End of SKILL.md should include:
## Extension Support
Custom configurations via EXTEND.md. See **Step 1.1** for paths and supported options.
```
## User Input Tools Section (Required)
Every SKILL.md that prompts the user for choices MUST include exactly one `## User Input Tools` section near the top (right after the intro, before the main workflow). The rule must be **inlined** — do NOT link to `docs/user-input-tools.md` (skills are self-contained; see [CLAUDE.md → Skill Self-Containment](../CLAUDE.md)). The author-side canonical reference lives at [user-input-tools.md](user-input-tools.md); copy its body into each new SKILL.md.
Standard snippet (copy verbatim):
```markdown
## User Input Tools
When this skill prompts the user, follow this tool-selection rule (priority order):
1. **Prefer built-in user-input tools** exposed by the current agent runtime — e.g., `AskUserQuestion`, `request_user_input`, `clarify`, `ask_user`, or any equivalent.
2. **Fallback**: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
3. **Batching**: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.
Concrete `AskUserQuestion` references below are examples — substitute the local equivalent in other runtimes.
```
## Image Generation Tools Section (Required for image-gen skills)
Every SKILL.md that renders images — whether by calling an image-generation API directly or by delegating to another skill — MUST include exactly one `## Image Generation Tools` section near the top (after `## User Input Tools`, before the main workflow). The rule must be **inlined** — do NOT link to `docs/image-generation-tools.md` (skills are self-contained; see [CLAUDE.md → Skill Self-Containment](../CLAUDE.md)). The author-side canonical reference lives at [image-generation-tools.md](image-generation-tools.md); copy its body into each new SKILL.md.
Standard snippet (copy verbatim):
```markdown
## Image Generation Tools
When this skill needs to render an image:
- **Use whatever image-generation tool or skill is available** in the current runtime — e.g., Codex `imagegen`, Hermes `image_generate`, `baoyu-imagine`, or any equivalent the user has installed.
- **If multiple are available**, ask the user **once** at the start which to use (batch with any other initial questions).
- **If none are available**, tell the user and ask how to proceed.
**Prompt file requirement (hard)**: write each image's full, final prompt to a standalone file under `prompts/` (naming: `NN-{type}-[slug].md`) BEFORE invoking any backend. The backend receives the prompt file (or its content); the file is the reproducibility record and lets you switch backends without regenerating prompts.
Concrete tool names (`imagegen`, `image_generate`, `baoyu-imagine`) above are examples — substitute the local equivalents under the same rule.
```
+48
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@@ -0,0 +1,48 @@
# Image Generation Tools
Skills in this repo are loaded by multiple agent runtimes (Claude Code, Codex, Hermes, other agents, bare CLI). Each runtime exposes a different image-generation capability — some have a runtime-native tool (Codex `imagegen`, Hermes `image_generate`), others rely on an installed skill (`baoyu-imagine`, or user-defined). This document defines the canonical **backend-selection rule** every skill that renders images follows so skills stay portable.
## The Rule
When a skill needs to render an image, resolve the backend in this order:
1. **Current-request override** — if the user names a specific backend in the current message, use it.
2. **Saved preference** — if the skill's `EXTEND.md` sets `preferred_image_backend` to a backend available right now, use it.
3. **Auto-select** (when the preference is `auto`, unset, or the pinned backend isn't available):
- **Codex (`imagegen`)** — first, inspect your available-skills / tool inventory. If a skill named `imagegen` is listed, you are running inside Codex and MUST use it: invoke via the `Skill` tool with `skill: "imagegen"`, passing the saved prompt file's content (plus output path and aspect ratio per Codex `imagegen`'s own args). Codex `imagegen` is the official raster backend in that runtime and outranks any non-native skill (e.g., `baoyu-imagine`) unless the user has explicitly pinned a different `preferred_image_backend`.
- **Other runtime-native tools** — if the runtime exposes a different native image tool (e.g., Hermes `image_generate`), use it the same way.
- Otherwise, if exactly one non-native backend is installed (e.g., `baoyu-imagine`), use it.
- Otherwise (multiple non-native backends with no runtime-native tool), ask the user once — batch with any other initial questions.
4. **If none are available**, tell the user and ask how to proceed.
**⛔ Never substitute SVG, HTML, canvas, or other code-based rendering for raster image generation.** Codex `imagegen`'s own description says it should be used "when the output should be a bitmap asset rather than repo-native code or vector." If you cannot resolve a raster backend via step 3, fall through to step 4 and ask the user — do **not** silently emit SVG, write inline `<svg>` markup, or produce HTML/CSS art as a substitute. This applies even if the article/section seems "diagram-like": the consumer skill calling this rule has already decided that a raster image is what it needs.
Setting `preferred_image_backend: ask` forces the step-3 prompt every run regardless of available backends.
## The Preference Field
Each image-consuming skill's `EXTEND.md` carries a single `preferred_image_backend` field:
| Value | Meaning |
|---|---|
| `auto` (default) | Apply the auto-select rule — runtime-native preferred, fall back to only installed backend, ask if multiple non-native. |
| `ask` | Always confirm the backend on every run, even when a runtime-native tool exists. |
| `<backend-id>` (e.g., `codex-imagegen`, `baoyu-imagine`, `image_generate`) | Pin this backend when available; fall back to `auto` if it isn't. |
The field is **absent-equals-auto**: older `EXTEND.md` files without this field behave exactly as if `preferred_image_backend: auto` were set. No schema version bump is needed to introduce it.
## Prompt File Requirement (hard)
Regardless of which backend is chosen, every skill that renders images MUST write each image's full, final prompt to a standalone file under `prompts/` (naming: `NN-{type}-[slug].md`) BEFORE invoking any backend. The backend receives the prompt file (or its content); the file is the reproducibility record and allows switching backends without regenerating prompts.
## How Skills Declare This
Each `SKILL.md` that renders images includes **exactly one** `## Image Generation Tools` section (near the top, after `## User Input Tools` and before the main workflow) that **inlines** this rule. Skills are self-contained and cannot link to `docs/` — each skill folder must ship the rule inside its own `SKILL.md`. See [CLAUDE.md → Skill Self-Containment](../CLAUDE.md).
Each skill's `references/config/preferences-schema.md` (and its `EXTEND.md` template in `first-time-setup.md`) lists `preferred_image_backend` alongside other preference fields. First-time setup does NOT ask the user about the backend — `auto` is set silently. Users who want to pin a specific backend edit `EXTEND.md` later, and each skill's `## Changing Preferences` section documents the common one-line edits.
Concrete tool names (`imagegen`, `image_generate`, `baoyu-imagine`) in this document and in SKILL.md are **examples** — agents in other runtimes apply the rule above and substitute the local equivalent. Skill-specific parameters for these backends are illustrative; runtimes without those knobs can omit them.
## Backend Skills Are Exempt
Skills that **are themselves** image-generation backends — currently `baoyu-imagine`, `baoyu-image-gen` (deprecated), and `baoyu-danger-gemini-web` — do NOT include a `## Image Generation Tools` section. They render directly via their own provider integrations and have no need to "select a backend." The rule applies only to consumer skills that delegate rendering to whatever backend the runtime exposes.
+15 -14
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@@ -1,30 +1,31 @@
# Image Generation Guidelines
Skills that require image generation MUST delegate to available image generation skills.
Skills that require image generation MUST delegate to available image generation tools (runtime-native tools or installed skills).
**Backend selection convention**: see [image-generation-tools.md](image-generation-tools.md) for the runtime-neutral rule. Short version: use whatever backend is available; if multiple, ask the user once; if none, ask how to proceed. This document covers output conventions (naming, paths) that apply regardless of which backend is selected.
## Skill Selection
**Default**: `skills/baoyu-imagine/SKILL.md` (unless user specifies otherwise).
1. Read skill's SKILL.md for parameters and capabilities
2. If user requests different skill, check `skills/` for alternatives
3. Only ask user when multiple viable options exist
1. Follow the rule in [image-generation-tools.md](image-generation-tools.md): use whatever backend is available; ask only on ambiguity.
2. Read the chosen backend's documentation for parameters and capabilities.
3. If user requests a specific backend, honor it.
## Generation Flow Template
```markdown
### Step N: Generate Images
**Skill Selection**:
1. Check available skills (`baoyu-imagine` default, or `baoyu-danger-gemini-web`)
2. Read selected skill's SKILL.md for parameters
3. If multiple skills available, ask user to choose
**Backend Selection**:
1. Detect available image-generation tools/skills (runtime-native + installed)
2. If one available → use it. If multiple → ask user once. If none → ask how to proceed.
3. Read the chosen backend's docs for parameters
**Generation Flow**:
1. Call skill with prompt, output path, and skill-specific parameters
2. Generate sequentially by default (batch parallel only when user has multiple prompts)
3. Output progress: "Generated X/N"
4. On failure, auto-retry once before reporting error
1. Write the full prompt to `prompts/NN-{type}-[slug].md` BEFORE invoking the backend
2. Call backend with the prompt (or prompt file), output path, and parameters
3. Generate sequentially by default (batch parallel only when backend supports it and user has multiple prompts)
4. Output progress: "Generated X/N"
5. On failure, auto-retry once before reporting error
```
**Batch Parallel** (`baoyu-imagine` only): concurrent workers with per-provider throttling via `batch.max_workers` in EXTEND.md.
+10 -7
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@@ -21,21 +21,24 @@ bash scripts/sync-clawhub.sh # sync all skills
bash scripts/sync-clawhub.sh <skill> # sync one skill
```
Release hooks are configured via `.releaserc.yml`. This repo does not stage a separate release directory: release prep only syncs `packages/` into each skill's committed `scripts/vendor/`, and publish reads the skill directory directly.
Release hooks are configured via `.releaserc.yml`. This repo does not stage a separate release directory: publish reads the skill directory directly and validates that local package references and CLI bin targets are self-contained.
## Shared Workspace Packages
`packages/` is the **only** source of truth. Never edit `skills/*/scripts/vendor/` directly.
`packages/` is the source of truth for shared runtime code. Most skills consume shared packages from npm with semver ranges. `baoyu-url-to-markdown` is the exception: it vendors the `baoyu-fetch` runtime into `skills/baoyu-url-to-markdown/scripts/lib/` so the published skill is self-contained and does not depend on the `baoyu-fetch` npm package.
Current packages:
- `baoyu-chrome-cdp` (Chrome CDP utilities), consumed by 6 skills (`baoyu-danger-gemini-web`, `baoyu-danger-x-to-markdown`, `baoyu-post-to-wechat`, `baoyu-post-to-weibo`, `baoyu-post-to-x`, `baoyu-url-to-markdown`)
- `baoyu-chrome-cdp` (Chrome CDP utilities), consumed by 5 skills (`baoyu-danger-gemini-web`, `baoyu-danger-x-to-markdown`, `baoyu-post-to-wechat`, `baoyu-post-to-weibo`, `baoyu-post-to-x`)
- `baoyu-md` (shared Markdown rendering and placeholder pipeline), consumed by 3 skills (`baoyu-markdown-to-html`, `baoyu-post-to-wechat`, `baoyu-post-to-weibo`)
- `baoyu-fetch` (URL-to-Markdown CLI), vendored into 1 skill (`baoyu-url-to-markdown`)
**How it works**: Sync script copies packages into each consuming skill's `vendor/` directory and rewrites dependency specs to `file:./vendor/<name>`. Vendor copies are committed to git, making skills self-contained.
**How it works**: npm packages are built from `packages/` and published to the public npm registry. Skills normally depend on those packages with `^<version>` specs. Release prep runs `node scripts/verify-shared-package-deps.mjs` so accidental `file:` dependencies cannot slip back in. For vendored skill runtimes, keep the copied code under the skill directory and run `node scripts/publish-skill.mjs --skill-dir <skill> --version <version> --dry-run` before publishing.
**Update workflow**:
1. Edit package under `packages/`
2. Run `node scripts/sync-shared-skill-packages.mjs`
3. Commit synced `vendor/`, `package.json`, and `bun.lock` together
2. Run the package build, e.g. `bun run --cwd packages/baoyu-md build`
3. Publish the changed npm package with `npm publish --access public`
4. Update consuming skill `package.json` semver ranges if the package version changed
5. Run `node scripts/verify-shared-package-deps.mjs`
**Git hook**: Run `node scripts/install-git-hooks.mjs` once to enable the `pre-push` hook. It re-syncs and blocks push if vendor copies are stale (`--enforce-clean`).
**Git hook**: Run `node scripts/install-git-hooks.mjs` once to enable the `pre-push` hook. It blocks pushes when a skill uses a local `file:` dependency or a vendored workspace package.
+4 -4
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@@ -9,7 +9,7 @@ This repository has many scripts, but they do not share a single runtime or depe
- Coverage command: `npm run test:coverage`
- CI trigger: GitHub Actions on `push`, `pull_request`, and manual dispatch
This avoids introducing Jest/Vitest across a repo that already mixes plain Node scripts, Bun-based skill packages, vendored code, and browser automation.
This avoids introducing Jest/Vitest across a repo that already mixes plain Node scripts, Bun-based skill packages, npm-published shared packages, and browser automation.
## Rollout Plan
@@ -18,19 +18,19 @@ This avoids introducing Jest/Vitest across a repo that already mixes plain Node
Focus on pure functions under `scripts/lib/` first.
- `scripts/lib/release-files.mjs`
- `scripts/lib/shared-skill-packages.mjs`
- `scripts/verify-shared-package-deps.mjs`
Goals:
- Validate file filtering and release packaging rules
- Catch regressions in package vendoring and dependency rewriting
- Catch regressions that reintroduce local `file:` dependencies or vendored workspace packages
- Keep tests deterministic and free of network, Bun, or browser requirements
### Phase 2: Root CLI integration tests
Add temp-directory integration tests for root CLIs that already support dry-run or local-only flows.
- `scripts/sync-shared-skill-packages.mjs`
- `scripts/verify-shared-package-deps.mjs`
- `scripts/publish-skill.mjs --dry-run`
- `scripts/sync-clawhub.mjs` argument handling and local skill discovery
+17
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@@ -0,0 +1,17 @@
# User Input Tools
Skills in this repo are loaded by multiple agent runtimes (Claude Code, other agents, bare CLI). Each runtime exposes a different API for asking the user questions. This document defines the canonical **tool-selection rule** every skill follows so skills stay portable.
## Tool Selection (priority order)
1. **Prefer built-in user-input tools** if the current agent runtime exposes one — e.g., `AskUserQuestion`, `request_user_input`, `clarify`, `ask_user`, or any equivalent.
2. **Fallback to plain text**: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
3. **Batching rule**:
- If the tool supports **multiple questions per call** (e.g., `AskUserQuestion`): **Combine all applicable questions into a single call. Do NOT split into separate calls.**
- If the tool supports **only one question per call** (e.g., single-prompt `clarify`): ask **one question per call, in priority order**.
## How Skills Declare This
Each `SKILL.md` that uses interactive user input includes **exactly one** `## User Input Tools` section (typically near the top, right after the intro) that **inlines** this rule. Do NOT link here from a SKILL.md — skills are self-contained (see [CLAUDE.md → Skill Self-Containment](../CLAUDE.md)). This document is the author-side canonical source; copy its body into each SKILL.md. The rule then governs every user-input interaction in that skill and its `references/` files.
Specific mentions of a concrete tool (e.g., `AskUserQuestion`) elsewhere in a skill are **concrete examples** — agents in other runtimes apply the rule above and substitute the local equivalent. Tool-specific parameters (e.g., `header:`, `multiSelect:`) are illustrative; runtimes without those knobs can omit them.
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+5 -1
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@@ -18,6 +18,10 @@
},
"dependencies": {
"pdf-lib": "^1.17.1",
"pptxgenjs": "^4.0.1"
"pptxgenjs": "^4.0.1",
"sharp": "^0.34.5"
},
"overrides": {
"@xmldom/xmldom": "0.8.13"
}
}
+479
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@@ -0,0 +1,479 @@
var __create = Object.create;
var __getProtoOf = Object.getPrototypeOf;
var __defProp = Object.defineProperty;
var __getOwnPropNames = Object.getOwnPropertyNames;
var __getOwnPropDesc = Object.getOwnPropertyDescriptor;
var __hasOwnProp = Object.prototype.hasOwnProperty;
function __accessProp(key) {
return this[key];
}
var __toESMCache_node;
var __toESMCache_esm;
var __toESM = (mod, isNodeMode, target) => {
var canCache = mod != null && typeof mod === "object";
if (canCache) {
var cache = isNodeMode ? __toESMCache_node ??= new WeakMap : __toESMCache_esm ??= new WeakMap;
var cached = cache.get(mod);
if (cached)
return cached;
}
target = mod != null ? __create(__getProtoOf(mod)) : {};
const to = isNodeMode || !mod || !mod.__esModule ? __defProp(target, "default", { value: mod, enumerable: true }) : target;
for (let key of __getOwnPropNames(mod))
if (!__hasOwnProp.call(to, key))
__defProp(to, key, {
get: __accessProp.bind(mod, key),
enumerable: true
});
if (canCache)
cache.set(mod, to);
return to;
};
var __toCommonJS = (from) => {
var entry = (__moduleCache ??= new WeakMap).get(from), desc;
if (entry)
return entry;
entry = __defProp({}, "__esModule", { value: true });
if (from && typeof from === "object" || typeof from === "function") {
for (var key of __getOwnPropNames(from))
if (!__hasOwnProp.call(entry, key))
__defProp(entry, key, {
get: __accessProp.bind(from, key),
enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable
});
}
__moduleCache.set(from, entry);
return entry;
};
var __moduleCache;
var __returnValue = (v) => v;
function __exportSetter(name, newValue) {
this[name] = __returnValue.bind(null, newValue);
}
var __export = (target, all) => {
for (var name in all)
__defProp(target, name, {
get: all[name],
enumerable: true,
configurable: true,
set: __exportSetter.bind(all, name)
});
};
// src/index.ts
var exports_src = {};
__export(exports_src, {
waitForChromeDebugPort: () => waitForChromeDebugPort,
sleep: () => sleep,
resolveSharedChromeProfileDir: () => resolveSharedChromeProfileDir,
openPageSession: () => openPageSession,
launchChrome: () => launchChrome,
killChrome: () => killChrome,
gracefulKillChrome: () => gracefulKillChrome,
getFreePort: () => getFreePort,
getDefaultChromeUserDataDirs: () => getDefaultChromeUserDataDirs,
findExistingChromeDebugPort: () => findExistingChromeDebugPort,
findChromeExecutable: () => findChromeExecutable,
discoverRunningChromeDebugPort: () => discoverRunningChromeDebugPort,
CdpConnection: () => CdpConnection
});
module.exports = __toCommonJS(exports_src);
var import_node_child_process = require("node:child_process");
var import_node_fs = __toESM(require("node:fs"));
var import_node_net = __toESM(require("node:net"));
var import_node_os = __toESM(require("node:os"));
var import_node_path = __toESM(require("node:path"));
var import_node_process = __toESM(require("node:process"));
function sleep(ms) {
return new Promise((resolve) => setTimeout(resolve, ms));
}
async function getFreePort(fixedEnvName) {
const fixed = fixedEnvName ? Number.parseInt(import_node_process.default.env[fixedEnvName] ?? "", 10) : NaN;
if (Number.isInteger(fixed) && fixed > 0)
return fixed;
return await new Promise((resolve, reject) => {
const server = import_node_net.default.createServer();
server.unref();
server.on("error", reject);
server.listen(0, "127.0.0.1", () => {
const address = server.address();
if (!address || typeof address === "string") {
server.close(() => reject(new Error("Unable to allocate a free TCP port.")));
return;
}
const port = address.port;
server.close((err) => {
if (err)
reject(err);
else
resolve(port);
});
});
});
}
function findChromeExecutable(options) {
for (const envName of options.envNames ?? []) {
const override = import_node_process.default.env[envName]?.trim();
if (override && import_node_fs.default.existsSync(override))
return override;
}
const candidates = import_node_process.default.platform === "darwin" ? options.candidates.darwin ?? options.candidates.default : import_node_process.default.platform === "win32" ? options.candidates.win32 ?? options.candidates.default : options.candidates.default;
for (const candidate of candidates) {
if (import_node_fs.default.existsSync(candidate))
return candidate;
}
return;
}
function resolveSharedChromeProfileDir(options = {}) {
for (const envName of options.envNames ?? []) {
const override = import_node_process.default.env[envName]?.trim();
if (override)
return import_node_path.default.resolve(override);
}
const appDataDirName = options.appDataDirName ?? "baoyu-skills";
const profileDirName = options.profileDirName ?? "chrome-profile";
if (options.wslWindowsHome) {
return import_node_path.default.join(options.wslWindowsHome, ".local", "share", appDataDirName, profileDirName);
}
const base = import_node_process.default.platform === "darwin" ? import_node_path.default.join(import_node_os.default.homedir(), "Library", "Application Support") : import_node_process.default.platform === "win32" ? import_node_process.default.env.APPDATA ?? import_node_path.default.join(import_node_os.default.homedir(), "AppData", "Roaming") : import_node_process.default.env.XDG_DATA_HOME ?? import_node_path.default.join(import_node_os.default.homedir(), ".local", "share");
return import_node_path.default.join(base, appDataDirName, profileDirName);
}
async function fetchWithTimeout(url, timeoutMs) {
if (!timeoutMs || timeoutMs <= 0)
return await fetch(url, { redirect: "follow" });
const ctl = new AbortController;
const timer = setTimeout(() => ctl.abort(), timeoutMs);
try {
return await fetch(url, { redirect: "follow", signal: ctl.signal });
} finally {
clearTimeout(timer);
}
}
async function fetchJson(url, options = {}) {
const response = await fetchWithTimeout(url, options.timeoutMs);
if (!response.ok) {
throw new Error(`Request failed: ${response.status} ${response.statusText}`);
}
return await response.json();
}
async function isDebugPortReady(port, timeoutMs = 3000) {
try {
const version = await fetchJson(`http://127.0.0.1:${port}/json/version`, { timeoutMs });
return !!version.webSocketDebuggerUrl;
} catch {
return false;
}
}
function isPortListening(port, timeoutMs = 3000) {
return new Promise((resolve) => {
const socket = new import_node_net.default.Socket;
const timer = setTimeout(() => {
socket.destroy();
resolve(false);
}, timeoutMs);
socket.once("connect", () => {
clearTimeout(timer);
socket.destroy();
resolve(true);
});
socket.once("error", () => {
clearTimeout(timer);
resolve(false);
});
socket.connect(port, "127.0.0.1");
});
}
function parseDevToolsActivePort(filePath) {
try {
const content = import_node_fs.default.readFileSync(filePath, "utf-8");
const lines = content.split(/\r?\n/);
const port = Number.parseInt(lines[0]?.trim() ?? "", 10);
const wsPath = lines[1]?.trim();
if (port > 0 && wsPath)
return { port, wsPath };
} catch {}
return null;
}
async function findExistingChromeDebugPort(options) {
const timeoutMs = options.timeoutMs ?? 3000;
const parsed = parseDevToolsActivePort(import_node_path.default.join(options.profileDir, "DevToolsActivePort"));
if (parsed && parsed.port > 0 && await isDebugPortReady(parsed.port, timeoutMs))
return parsed.port;
if (import_node_process.default.platform === "win32")
return null;
try {
const result = import_node_child_process.spawnSync("ps", ["aux"], { encoding: "utf-8", timeout: 5000 });
if (result.status !== 0 || !result.stdout)
return null;
const lines = result.stdout.split(`
`).filter((line) => line.includes(options.profileDir) && line.includes("--remote-debugging-port="));
for (const line of lines) {
const portMatch = line.match(/--remote-debugging-port=(\d+)/);
const port = Number.parseInt(portMatch?.[1] ?? "", 10);
if (port > 0 && await isDebugPortReady(port, timeoutMs))
return port;
}
} catch {}
return null;
}
function getDefaultChromeUserDataDirs(channels = ["stable"]) {
const home = import_node_os.default.homedir();
const dirs = [];
const channelDirs = {
stable: {
darwin: import_node_path.default.join(home, "Library", "Application Support", "Google", "Chrome"),
linux: import_node_path.default.join(home, ".config", "google-chrome"),
win32: import_node_path.default.join(import_node_process.default.env.LOCALAPPDATA ?? import_node_path.default.join(home, "AppData", "Local"), "Google", "Chrome", "User Data")
},
beta: {
darwin: import_node_path.default.join(home, "Library", "Application Support", "Google", "Chrome Beta"),
linux: import_node_path.default.join(home, ".config", "google-chrome-beta"),
win32: import_node_path.default.join(import_node_process.default.env.LOCALAPPDATA ?? import_node_path.default.join(home, "AppData", "Local"), "Google", "Chrome Beta", "User Data")
},
canary: {
darwin: import_node_path.default.join(home, "Library", "Application Support", "Google", "Chrome Canary"),
linux: import_node_path.default.join(home, ".config", "google-chrome-canary"),
win32: import_node_path.default.join(import_node_process.default.env.LOCALAPPDATA ?? import_node_path.default.join(home, "AppData", "Local"), "Google", "Chrome SxS", "User Data")
},
dev: {
darwin: import_node_path.default.join(home, "Library", "Application Support", "Google", "Chrome Dev"),
linux: import_node_path.default.join(home, ".config", "google-chrome-dev"),
win32: import_node_path.default.join(import_node_process.default.env.LOCALAPPDATA ?? import_node_path.default.join(home, "AppData", "Local"), "Google", "Chrome Dev", "User Data")
}
};
const platform = import_node_process.default.platform === "darwin" ? "darwin" : import_node_process.default.platform === "win32" ? "win32" : "linux";
for (const ch of channels) {
const entry = channelDirs[ch];
if (entry)
dirs.push(entry[platform]);
}
return dirs;
}
async function discoverRunningChromeDebugPort(options = {}) {
const channels = options.channels ?? ["stable", "beta", "canary", "dev"];
const timeoutMs = options.timeoutMs ?? 3000;
const userDataDirs = (options.userDataDirs ?? getDefaultChromeUserDataDirs(channels)).map((dir) => import_node_path.default.resolve(dir));
for (const dir of userDataDirs) {
const parsed = parseDevToolsActivePort(import_node_path.default.join(dir, "DevToolsActivePort"));
if (!parsed)
continue;
if (await isPortListening(parsed.port, timeoutMs)) {
return { port: parsed.port, wsUrl: `ws://127.0.0.1:${parsed.port}${parsed.wsPath}` };
}
}
if (import_node_process.default.platform !== "win32") {
try {
const result = import_node_child_process.spawnSync("ps", ["aux"], { encoding: "utf-8", timeout: 5000 });
if (result.status === 0 && result.stdout) {
const lines = result.stdout.split(`
`).filter((line) => line.includes("--remote-debugging-port=") && userDataDirs.some((dir) => line.includes(dir)));
for (const line of lines) {
const portMatch = line.match(/--remote-debugging-port=(\d+)/);
const port = Number.parseInt(portMatch?.[1] ?? "", 10);
if (port > 0 && await isDebugPortReady(port, timeoutMs)) {
try {
const version = await fetchJson(`http://127.0.0.1:${port}/json/version`, { timeoutMs });
if (version.webSocketDebuggerUrl)
return { port, wsUrl: version.webSocketDebuggerUrl };
} catch {}
}
}
}
} catch {}
}
return null;
}
async function waitForChromeDebugPort(port, timeoutMs, options) {
const start = Date.now();
let lastError = null;
while (Date.now() - start < timeoutMs) {
try {
const version = await fetchJson(`http://127.0.0.1:${port}/json/version`, { timeoutMs: 5000 });
if (version.webSocketDebuggerUrl)
return version.webSocketDebuggerUrl;
lastError = new Error("Missing webSocketDebuggerUrl");
} catch (error) {
lastError = error;
}
await sleep(200);
}
if (options?.includeLastError && lastError) {
throw new Error(`Chrome debug port not ready: ${lastError instanceof Error ? lastError.message : String(lastError)}`);
}
throw new Error("Chrome debug port not ready");
}
class CdpConnection {
ws;
nextId = 0;
pending = new Map;
eventHandlers = new Map;
defaultTimeoutMs;
constructor(ws, defaultTimeoutMs = 15000) {
this.ws = ws;
this.defaultTimeoutMs = defaultTimeoutMs;
this.ws.addEventListener("message", (event) => {
try {
const data = typeof event.data === "string" ? event.data : new TextDecoder().decode(event.data);
const msg = JSON.parse(data);
if (msg.method) {
const handlers = this.eventHandlers.get(msg.method);
if (handlers) {
handlers.forEach((handler) => handler(msg.params));
}
}
if (msg.id) {
const pending = this.pending.get(msg.id);
if (pending) {
this.pending.delete(msg.id);
if (pending.timer)
clearTimeout(pending.timer);
if (msg.error?.message)
pending.reject(new Error(msg.error.message));
else
pending.resolve(msg.result);
}
}
} catch {}
});
this.ws.addEventListener("close", () => {
for (const [id, pending] of this.pending.entries()) {
this.pending.delete(id);
if (pending.timer)
clearTimeout(pending.timer);
pending.reject(new Error("CDP connection closed."));
}
});
}
static async connect(url, timeoutMs, options) {
const ws = new WebSocket(url);
await new Promise((resolve, reject) => {
const timer = setTimeout(() => reject(new Error("CDP connection timeout.")), timeoutMs);
ws.addEventListener("open", () => {
clearTimeout(timer);
resolve();
});
ws.addEventListener("error", () => {
clearTimeout(timer);
reject(new Error("CDP connection failed."));
});
});
return new CdpConnection(ws, options?.defaultTimeoutMs ?? 15000);
}
on(method, handler) {
if (!this.eventHandlers.has(method)) {
this.eventHandlers.set(method, new Set);
}
this.eventHandlers.get(method)?.add(handler);
}
off(method, handler) {
this.eventHandlers.get(method)?.delete(handler);
}
async send(method, params, options) {
const id = ++this.nextId;
const message = { id, method };
if (params)
message.params = params;
if (options?.sessionId)
message.sessionId = options.sessionId;
const timeoutMs = options?.timeoutMs ?? this.defaultTimeoutMs;
const result = await new Promise((resolve, reject) => {
const timer = timeoutMs > 0 ? setTimeout(() => {
this.pending.delete(id);
reject(new Error(`CDP timeout: ${method}`));
}, timeoutMs) : null;
this.pending.set(id, { resolve, reject, timer });
this.ws.send(JSON.stringify(message));
});
return result;
}
close() {
try {
this.ws.close();
} catch {}
}
}
async function launchChrome(options) {
await import_node_fs.default.promises.mkdir(options.profileDir, { recursive: true });
const args = [
`--remote-debugging-port=${options.port}`,
`--user-data-dir=${options.profileDir}`,
"--no-first-run",
"--no-default-browser-check",
...options.extraArgs ?? []
];
if (options.headless)
args.push("--headless=new");
if (options.url)
args.push(options.url);
return import_node_child_process.spawn(options.chromePath, args, { stdio: "ignore" });
}
function killChrome(chrome) {
try {
chrome.kill("SIGTERM");
} catch {}
setTimeout(() => {
if (chrome.exitCode === null && chrome.signalCode === null) {
try {
chrome.kill("SIGKILL");
} catch {}
}
}, 2000).unref?.();
}
async function gracefulKillChrome(chrome, port, timeoutMs = 6000) {
if (chrome.exitCode !== null || chrome.signalCode !== null)
return;
const exitPromise = new Promise((resolve) => {
chrome.once("exit", () => resolve());
});
killChrome(chrome);
const start = Date.now();
while (Date.now() - start < timeoutMs) {
if (chrome.exitCode !== null || chrome.signalCode !== null)
return;
if (port !== undefined && !await isPortListening(port, 250))
return;
const exited = await Promise.race([
exitPromise.then(() => true),
sleep(100).then(() => false)
]);
if (exited)
return;
}
await Promise.race([
exitPromise,
sleep(250)
]);
}
async function openPageSession(options) {
let targetId;
let createdTarget = false;
if (options.reusing) {
const created = await options.cdp.send("Target.createTarget", { url: options.url });
targetId = created.targetId;
createdTarget = true;
} else {
const targets = await options.cdp.send("Target.getTargets");
const existing = targets.targetInfos.find(options.matchTarget);
if (existing) {
targetId = existing.targetId;
} else {
const created = await options.cdp.send("Target.createTarget", { url: options.url });
targetId = created.targetId;
createdTarget = true;
}
}
const { sessionId } = await options.cdp.send("Target.attachToTarget", { targetId, flatten: true });
if (options.activateTarget ?? true) {
await options.cdp.send("Target.activateTarget", { targetId });
}
if (options.enablePage)
await options.cdp.send("Page.enable", {}, { sessionId });
if (options.enableRuntime)
await options.cdp.send("Runtime.enable", {}, { sessionId });
if (options.enableDom)
await options.cdp.send("DOM.enable", {}, { sessionId });
if (options.enableNetwork)
await options.cdp.send("Network.enable", {}, { sessionId });
return { sessionId, targetId, createdTarget };
}
+415
View File
@@ -0,0 +1,415 @@
// src/index.ts
import { spawn, spawnSync } from "node:child_process";
import fs from "node:fs";
import net from "node:net";
import os from "node:os";
import path from "node:path";
import process from "node:process";
function sleep(ms) {
return new Promise((resolve) => setTimeout(resolve, ms));
}
async function getFreePort(fixedEnvName) {
const fixed = fixedEnvName ? Number.parseInt(process.env[fixedEnvName] ?? "", 10) : NaN;
if (Number.isInteger(fixed) && fixed > 0)
return fixed;
return await new Promise((resolve, reject) => {
const server = net.createServer();
server.unref();
server.on("error", reject);
server.listen(0, "127.0.0.1", () => {
const address = server.address();
if (!address || typeof address === "string") {
server.close(() => reject(new Error("Unable to allocate a free TCP port.")));
return;
}
const port = address.port;
server.close((err) => {
if (err)
reject(err);
else
resolve(port);
});
});
});
}
function findChromeExecutable(options) {
for (const envName of options.envNames ?? []) {
const override = process.env[envName]?.trim();
if (override && fs.existsSync(override))
return override;
}
const candidates = process.platform === "darwin" ? options.candidates.darwin ?? options.candidates.default : process.platform === "win32" ? options.candidates.win32 ?? options.candidates.default : options.candidates.default;
for (const candidate of candidates) {
if (fs.existsSync(candidate))
return candidate;
}
return;
}
function resolveSharedChromeProfileDir(options = {}) {
for (const envName of options.envNames ?? []) {
const override = process.env[envName]?.trim();
if (override)
return path.resolve(override);
}
const appDataDirName = options.appDataDirName ?? "baoyu-skills";
const profileDirName = options.profileDirName ?? "chrome-profile";
if (options.wslWindowsHome) {
return path.join(options.wslWindowsHome, ".local", "share", appDataDirName, profileDirName);
}
const base = process.platform === "darwin" ? path.join(os.homedir(), "Library", "Application Support") : process.platform === "win32" ? process.env.APPDATA ?? path.join(os.homedir(), "AppData", "Roaming") : process.env.XDG_DATA_HOME ?? path.join(os.homedir(), ".local", "share");
return path.join(base, appDataDirName, profileDirName);
}
async function fetchWithTimeout(url, timeoutMs) {
if (!timeoutMs || timeoutMs <= 0)
return await fetch(url, { redirect: "follow" });
const ctl = new AbortController;
const timer = setTimeout(() => ctl.abort(), timeoutMs);
try {
return await fetch(url, { redirect: "follow", signal: ctl.signal });
} finally {
clearTimeout(timer);
}
}
async function fetchJson(url, options = {}) {
const response = await fetchWithTimeout(url, options.timeoutMs);
if (!response.ok) {
throw new Error(`Request failed: ${response.status} ${response.statusText}`);
}
return await response.json();
}
async function isDebugPortReady(port, timeoutMs = 3000) {
try {
const version = await fetchJson(`http://127.0.0.1:${port}/json/version`, { timeoutMs });
return !!version.webSocketDebuggerUrl;
} catch {
return false;
}
}
function isPortListening(port, timeoutMs = 3000) {
return new Promise((resolve) => {
const socket = new net.Socket;
const timer = setTimeout(() => {
socket.destroy();
resolve(false);
}, timeoutMs);
socket.once("connect", () => {
clearTimeout(timer);
socket.destroy();
resolve(true);
});
socket.once("error", () => {
clearTimeout(timer);
resolve(false);
});
socket.connect(port, "127.0.0.1");
});
}
function parseDevToolsActivePort(filePath) {
try {
const content = fs.readFileSync(filePath, "utf-8");
const lines = content.split(/\r?\n/);
const port = Number.parseInt(lines[0]?.trim() ?? "", 10);
const wsPath = lines[1]?.trim();
if (port > 0 && wsPath)
return { port, wsPath };
} catch {}
return null;
}
async function findExistingChromeDebugPort(options) {
const timeoutMs = options.timeoutMs ?? 3000;
const parsed = parseDevToolsActivePort(path.join(options.profileDir, "DevToolsActivePort"));
if (parsed && parsed.port > 0 && await isDebugPortReady(parsed.port, timeoutMs))
return parsed.port;
if (process.platform === "win32")
return null;
try {
const result = spawnSync("ps", ["aux"], { encoding: "utf-8", timeout: 5000 });
if (result.status !== 0 || !result.stdout)
return null;
const lines = result.stdout.split(`
`).filter((line) => line.includes(options.profileDir) && line.includes("--remote-debugging-port="));
for (const line of lines) {
const portMatch = line.match(/--remote-debugging-port=(\d+)/);
const port = Number.parseInt(portMatch?.[1] ?? "", 10);
if (port > 0 && await isDebugPortReady(port, timeoutMs))
return port;
}
} catch {}
return null;
}
function getDefaultChromeUserDataDirs(channels = ["stable"]) {
const home = os.homedir();
const dirs = [];
const channelDirs = {
stable: {
darwin: path.join(home, "Library", "Application Support", "Google", "Chrome"),
linux: path.join(home, ".config", "google-chrome"),
win32: path.join(process.env.LOCALAPPDATA ?? path.join(home, "AppData", "Local"), "Google", "Chrome", "User Data")
},
beta: {
darwin: path.join(home, "Library", "Application Support", "Google", "Chrome Beta"),
linux: path.join(home, ".config", "google-chrome-beta"),
win32: path.join(process.env.LOCALAPPDATA ?? path.join(home, "AppData", "Local"), "Google", "Chrome Beta", "User Data")
},
canary: {
darwin: path.join(home, "Library", "Application Support", "Google", "Chrome Canary"),
linux: path.join(home, ".config", "google-chrome-canary"),
win32: path.join(process.env.LOCALAPPDATA ?? path.join(home, "AppData", "Local"), "Google", "Chrome SxS", "User Data")
},
dev: {
darwin: path.join(home, "Library", "Application Support", "Google", "Chrome Dev"),
linux: path.join(home, ".config", "google-chrome-dev"),
win32: path.join(process.env.LOCALAPPDATA ?? path.join(home, "AppData", "Local"), "Google", "Chrome Dev", "User Data")
}
};
const platform = process.platform === "darwin" ? "darwin" : process.platform === "win32" ? "win32" : "linux";
for (const ch of channels) {
const entry = channelDirs[ch];
if (entry)
dirs.push(entry[platform]);
}
return dirs;
}
async function discoverRunningChromeDebugPort(options = {}) {
const channels = options.channels ?? ["stable", "beta", "canary", "dev"];
const timeoutMs = options.timeoutMs ?? 3000;
const userDataDirs = (options.userDataDirs ?? getDefaultChromeUserDataDirs(channels)).map((dir) => path.resolve(dir));
for (const dir of userDataDirs) {
const parsed = parseDevToolsActivePort(path.join(dir, "DevToolsActivePort"));
if (!parsed)
continue;
if (await isPortListening(parsed.port, timeoutMs)) {
return { port: parsed.port, wsUrl: `ws://127.0.0.1:${parsed.port}${parsed.wsPath}` };
}
}
if (process.platform !== "win32") {
try {
const result = spawnSync("ps", ["aux"], { encoding: "utf-8", timeout: 5000 });
if (result.status === 0 && result.stdout) {
const lines = result.stdout.split(`
`).filter((line) => line.includes("--remote-debugging-port=") && userDataDirs.some((dir) => line.includes(dir)));
for (const line of lines) {
const portMatch = line.match(/--remote-debugging-port=(\d+)/);
const port = Number.parseInt(portMatch?.[1] ?? "", 10);
if (port > 0 && await isDebugPortReady(port, timeoutMs)) {
try {
const version = await fetchJson(`http://127.0.0.1:${port}/json/version`, { timeoutMs });
if (version.webSocketDebuggerUrl)
return { port, wsUrl: version.webSocketDebuggerUrl };
} catch {}
}
}
}
} catch {}
}
return null;
}
async function waitForChromeDebugPort(port, timeoutMs, options) {
const start = Date.now();
let lastError = null;
while (Date.now() - start < timeoutMs) {
try {
const version = await fetchJson(`http://127.0.0.1:${port}/json/version`, { timeoutMs: 5000 });
if (version.webSocketDebuggerUrl)
return version.webSocketDebuggerUrl;
lastError = new Error("Missing webSocketDebuggerUrl");
} catch (error) {
lastError = error;
}
await sleep(200);
}
if (options?.includeLastError && lastError) {
throw new Error(`Chrome debug port not ready: ${lastError instanceof Error ? lastError.message : String(lastError)}`);
}
throw new Error("Chrome debug port not ready");
}
class CdpConnection {
ws;
nextId = 0;
pending = new Map;
eventHandlers = new Map;
defaultTimeoutMs;
constructor(ws, defaultTimeoutMs = 15000) {
this.ws = ws;
this.defaultTimeoutMs = defaultTimeoutMs;
this.ws.addEventListener("message", (event) => {
try {
const data = typeof event.data === "string" ? event.data : new TextDecoder().decode(event.data);
const msg = JSON.parse(data);
if (msg.method) {
const handlers = this.eventHandlers.get(msg.method);
if (handlers) {
handlers.forEach((handler) => handler(msg.params));
}
}
if (msg.id) {
const pending = this.pending.get(msg.id);
if (pending) {
this.pending.delete(msg.id);
if (pending.timer)
clearTimeout(pending.timer);
if (msg.error?.message)
pending.reject(new Error(msg.error.message));
else
pending.resolve(msg.result);
}
}
} catch {}
});
this.ws.addEventListener("close", () => {
for (const [id, pending] of this.pending.entries()) {
this.pending.delete(id);
if (pending.timer)
clearTimeout(pending.timer);
pending.reject(new Error("CDP connection closed."));
}
});
}
static async connect(url, timeoutMs, options) {
const ws = new WebSocket(url);
await new Promise((resolve, reject) => {
const timer = setTimeout(() => reject(new Error("CDP connection timeout.")), timeoutMs);
ws.addEventListener("open", () => {
clearTimeout(timer);
resolve();
});
ws.addEventListener("error", () => {
clearTimeout(timer);
reject(new Error("CDP connection failed."));
});
});
return new CdpConnection(ws, options?.defaultTimeoutMs ?? 15000);
}
on(method, handler) {
if (!this.eventHandlers.has(method)) {
this.eventHandlers.set(method, new Set);
}
this.eventHandlers.get(method)?.add(handler);
}
off(method, handler) {
this.eventHandlers.get(method)?.delete(handler);
}
async send(method, params, options) {
const id = ++this.nextId;
const message = { id, method };
if (params)
message.params = params;
if (options?.sessionId)
message.sessionId = options.sessionId;
const timeoutMs = options?.timeoutMs ?? this.defaultTimeoutMs;
const result = await new Promise((resolve, reject) => {
const timer = timeoutMs > 0 ? setTimeout(() => {
this.pending.delete(id);
reject(new Error(`CDP timeout: ${method}`));
}, timeoutMs) : null;
this.pending.set(id, { resolve, reject, timer });
this.ws.send(JSON.stringify(message));
});
return result;
}
close() {
try {
this.ws.close();
} catch {}
}
}
async function launchChrome(options) {
await fs.promises.mkdir(options.profileDir, { recursive: true });
const args = [
`--remote-debugging-port=${options.port}`,
`--user-data-dir=${options.profileDir}`,
"--no-first-run",
"--no-default-browser-check",
...options.extraArgs ?? []
];
if (options.headless)
args.push("--headless=new");
if (options.url)
args.push(options.url);
return spawn(options.chromePath, args, { stdio: "ignore" });
}
function killChrome(chrome) {
try {
chrome.kill("SIGTERM");
} catch {}
setTimeout(() => {
if (chrome.exitCode === null && chrome.signalCode === null) {
try {
chrome.kill("SIGKILL");
} catch {}
}
}, 2000).unref?.();
}
async function gracefulKillChrome(chrome, port, timeoutMs = 6000) {
if (chrome.exitCode !== null || chrome.signalCode !== null)
return;
const exitPromise = new Promise((resolve) => {
chrome.once("exit", () => resolve());
});
killChrome(chrome);
const start = Date.now();
while (Date.now() - start < timeoutMs) {
if (chrome.exitCode !== null || chrome.signalCode !== null)
return;
if (port !== undefined && !await isPortListening(port, 250))
return;
const exited = await Promise.race([
exitPromise.then(() => true),
sleep(100).then(() => false)
]);
if (exited)
return;
}
await Promise.race([
exitPromise,
sleep(250)
]);
}
async function openPageSession(options) {
let targetId;
let createdTarget = false;
if (options.reusing) {
const created = await options.cdp.send("Target.createTarget", { url: options.url });
targetId = created.targetId;
createdTarget = true;
} else {
const targets = await options.cdp.send("Target.getTargets");
const existing = targets.targetInfos.find(options.matchTarget);
if (existing) {
targetId = existing.targetId;
} else {
const created = await options.cdp.send("Target.createTarget", { url: options.url });
targetId = created.targetId;
createdTarget = true;
}
}
const { sessionId } = await options.cdp.send("Target.attachToTarget", { targetId, flatten: true });
if (options.activateTarget ?? true) {
await options.cdp.send("Target.activateTarget", { targetId });
}
if (options.enablePage)
await options.cdp.send("Page.enable", {}, { sessionId });
if (options.enableRuntime)
await options.cdp.send("Runtime.enable", {}, { sessionId });
if (options.enableDom)
await options.cdp.send("DOM.enable", {}, { sessionId });
if (options.enableNetwork)
await options.cdp.send("Network.enable", {}, { sessionId });
return { sessionId, targetId, createdTarget };
}
export {
waitForChromeDebugPort,
sleep,
resolveSharedChromeProfileDir,
openPageSession,
launchChrome,
killChrome,
gracefulKillChrome,
getFreePort,
getDefaultChromeUserDataDirs,
findExistingChromeDebugPort,
findChromeExecutable,
discoverRunningChromeDebugPort,
CdpConnection
};
+33 -3
View File
@@ -1,12 +1,42 @@
{
"name": "baoyu-chrome-cdp",
"private": true,
"version": "0.1.0",
"type": "module",
"files": [
"src"
"dist",
"src/**/*.ts",
"!src/**/*.test.ts"
],
"exports": {
".": "./src/index.ts"
".": {
"types": "./src/index.ts",
"import": "./dist/index.js",
"require": "./dist/index.cjs",
"default": "./dist/index.js"
},
"./src/*": "./src/*"
},
"description": "Shared Chrome DevTools Protocol utilities for baoyu skills.",
"main": "./dist/index.cjs",
"module": "./dist/index.js",
"types": "./src/index.ts",
"repository": {
"type": "git",
"url": "git+https://github.com/JimLiu/baoyu-skills.git",
"directory": "packages/baoyu-chrome-cdp"
},
"bugs": {
"url": "https://github.com/JimLiu/baoyu-skills/issues"
},
"homepage": "https://github.com/JimLiu/baoyu-skills/tree/main/packages/baoyu-chrome-cdp#readme",
"publishConfig": {
"access": "public"
},
"scripts": {
"build": "node ../../scripts/build-shared-package.mjs",
"prepack": "bun run build"
},
"engines": {
"bun": ">=1.2.0"
}
}
+15
View File
@@ -5,6 +5,21 @@ English | [简体中文](./CHANGELOG.zh-CN.md)
The format is inspired by Keep a Changelog, and the project follows Semantic
Versioning.
## [0.1.2] - 2026-04-21
#### Changed
- Upgraded Defuddle to 0.17.0 and jsdom to 29.0.2 for generic extraction.
- Added an `@xmldom/xmldom` override to keep the optional Defuddle MathML
dependency chain on a non-vulnerable release.
#### Fixed
- Fixed X/Twitter video extraction for single posts and X Articles by selecting
the highest-bitrate MP4 variant instead of the preview image URL.
- Fixed X Article media rendering so video entities are emitted as
`[video](...)` links instead of image embeds.
## [0.1.1] - 2026-03-27
#### Added
+12
View File
@@ -4,6 +4,18 @@
格式参考 Keep a Changelog,版本号遵循 Semantic Versioning。
## [0.1.2] - 2026-04-21
### 变更
- 将 Defuddle 升级到 0.17.0、jsdom 升级到 29.0.2,用于通用页面提取。
- 新增 `@xmldom/xmldom` override,使 Defuddle 的可选 MathML 依赖链保持在无漏洞版本。
### 修复
- 修复 X/Twitter 单条内容和 X Article 的视频提取逻辑,改为选择最高码率 MP4 变体,而不是预览图 URL。
- 修复 X Article 媒体渲染,视频实体现在输出为 `[video](...)` 链接,而不是图片嵌入。
## [0.1.1] - 2026-03-27
### 新增
+52 -36
View File
@@ -1,13 +1,14 @@
{
"lockfileVersion": 1,
"configVersion": 0,
"workspaces": {
"": {
"name": "baoyu-fetch",
"dependencies": {
"@mozilla/readability": "^0.6.0",
"chrome-launcher": "^1.2.1",
"defuddle": "^0.14.0",
"jsdom": "^26.0.0",
"defuddle": "^0.17.0",
"jsdom": "^29.0.2",
"remark-gfm": "^4.0.1",
"remark-parse": "^11.0.0",
"turndown": "^7.2.0",
@@ -24,11 +25,22 @@
},
},
},
"overrides": {
"@xmldom/xmldom": "0.8.13",
},
"packages": {
"@asamuzakjp/css-color": ["@asamuzakjp/css-color@3.2.0", "", { "dependencies": { "@csstools/css-calc": "^2.1.3", "@csstools/css-color-parser": "^3.0.9", "@csstools/css-parser-algorithms": "^3.0.4", "@csstools/css-tokenizer": "^3.0.3", "lru-cache": "^10.4.3" } }, "sha512-K1A6z8tS3XsmCMM86xoWdn7Fkdn9m6RSVtocUrJYIwZnFVkng/PvkEoWtOWmP+Scc6saYWHWZYbndEEXxl24jw=="],
"@asamuzakjp/css-color": ["@asamuzakjp/css-color@5.1.11", "", { "dependencies": { "@asamuzakjp/generational-cache": "^1.0.1", "@csstools/css-calc": "^3.2.0", "@csstools/css-color-parser": "^4.1.0", "@csstools/css-parser-algorithms": "^4.0.0", "@csstools/css-tokenizer": "^4.0.0" } }, "sha512-KVw6qIiCTUQhByfTd78h2yD1/00waTmm9uy/R7Ck/ctUyAPj+AEDLkQIdJW0T8+qGgj3j5bpNKK7Q3G+LedJWg=="],
"@asamuzakjp/dom-selector": ["@asamuzakjp/dom-selector@7.1.1", "", { "dependencies": { "@asamuzakjp/generational-cache": "^1.0.1", "@asamuzakjp/nwsapi": "^2.3.9", "bidi-js": "^1.0.3", "css-tree": "^3.2.1", "is-potential-custom-element-name": "^1.0.1" } }, "sha512-67RZDnYRc8H/8MLDgQCDE//zoqVFwajkepHZgmXrbwybzXOEwOWGPYGmALYl9J2DOLfFPPs6kKCqmbzV895hTQ=="],
"@asamuzakjp/generational-cache": ["@asamuzakjp/generational-cache@1.0.1", "", {}, "sha512-wajfB8KqzMCN2KGNFdLkReeHncd0AslUSrvHVvvYWuU8ghncRJoA50kT3zP9MVL0+9g4/67H+cdvBskj9THPzg=="],
"@asamuzakjp/nwsapi": ["@asamuzakjp/nwsapi@2.3.9", "", {}, "sha512-n8GuYSrI9bF7FFZ/SjhwevlHc8xaVlb/7HmHelnc/PZXBD2ZR49NnN9sMMuDdEGPeeRQ5d0hqlSlEpgCX3Wl0Q=="],
"@babel/runtime": ["@babel/runtime@7.29.2", "", {}, "sha512-JiDShH45zKHWyGe4ZNVRrCjBz8Nh9TMmZG1kh4QTK8hCBTWBi8Da+i7s1fJw7/lYpM4ccepSNfqzZ/QvABBi5g=="],
"@bramus/specificity": ["@bramus/specificity@2.4.2", "", { "dependencies": { "css-tree": "^3.0.0" }, "bin": { "specificity": "bin/cli.js" } }, "sha512-ctxtJ/eA+t+6q2++vj5j7FYX3nRu311q1wfYH3xjlLOsczhlhxAg2FWNUXhpGvAw3BWo1xBcvOV6/YLc2r5FJw=="],
"@changesets/apply-release-plan": ["@changesets/apply-release-plan@7.1.0", "", { "dependencies": { "@changesets/config": "^3.1.3", "@changesets/get-version-range-type": "^0.4.0", "@changesets/git": "^3.0.4", "@changesets/should-skip-package": "^0.1.2", "@changesets/types": "^6.1.0", "@manypkg/get-packages": "^1.1.3", "detect-indent": "^6.0.0", "fs-extra": "^7.0.1", "lodash.startcase": "^4.4.0", "outdent": "^0.5.0", "prettier": "^2.7.1", "resolve-from": "^5.0.0", "semver": "^7.5.3" } }, "sha512-yq8ML3YS7koKQ/9bk1PqO0HMzApIFNwjlwCnwFEXMzNe8NpzeeYYKCmnhWJGkN8g7E51MnWaSbqRcTcdIxUgnQ=="],
"@changesets/assemble-release-plan": ["@changesets/assemble-release-plan@6.0.9", "", { "dependencies": { "@changesets/errors": "^0.2.0", "@changesets/get-dependents-graph": "^2.1.3", "@changesets/should-skip-package": "^0.1.2", "@changesets/types": "^6.1.0", "@manypkg/get-packages": "^1.1.3", "semver": "^7.5.3" } }, "sha512-tPgeeqCHIwNo8sypKlS3gOPmsS3wP0zHt67JDuL20P4QcXiw/O4Hl7oXiuLnP9yg+rXLQ2sScdV1Kkzde61iSQ=="],
@@ -63,15 +75,19 @@
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"p-filter": ["p-filter@2.1.0", "", { "dependencies": { "p-map": "^2.0.0" } }, "sha512-ZBxxZ5sL2HghephhpGAQdoskxplTwr7ICaehZwLIlfL6acuVgZPm8yBNuRAFBGEqtD/hmUeq9eqLg2ys9Xr/yw=="],
@@ -397,12 +409,12 @@
"remark-stringify": ["remark-stringify@11.0.0", "", { "dependencies": { "@types/mdast": "^4.0.0", "mdast-util-to-markdown": "^2.0.0", "unified": "^11.0.0" } }, "sha512-1OSmLd3awB/t8qdoEOMazZkNsfVTeY4fTsgzcQFdXNq8ToTN4ZGwrMnlda4K6smTFKD+GRV6O48i6Z4iKgPPpw=="],
"require-from-string": ["require-from-string@2.0.2", "", {}, "sha512-Xf0nWe6RseziFMu+Ap9biiUbmplq6S9/p+7w7YXP/JBHhrUDDUhwa+vANyubuqfZWTveU//DYVGsDG7RKL/vEw=="],
"resolve-from": ["resolve-from@5.0.0", "", {}, "sha512-qYg9KP24dD5qka9J47d0aVky0N+b4fTU89LN9iDnjB5waksiC49rvMB0PrUJQGoTmH50XPiqOvAjDfaijGxYZw=="],
"reusify": ["reusify@1.1.0", "", {}, "sha512-g6QUff04oZpHs0eG5p83rFLhHeV00ug/Yf9nZM6fLeUrPguBTkTQOdpAWWspMh55TZfVQDPaN3NQJfbVRAxdIw=="],
"rrweb-cssom": ["rrweb-cssom@0.8.0", "", {}, "sha512-guoltQEx+9aMf2gDZ0s62EcV8lsXR+0w8915TC3ITdn2YueuNjdAYh/levpU9nFaoChh9RUS5ZdQMrKfVEN9tw=="],
"run-parallel": ["run-parallel@1.2.0", "", { "dependencies": { "queue-microtask": "^1.2.2" } }, "sha512-5l4VyZR86LZ/lDxZTR6jqL8AFE2S0IFLMP26AbjsLVADxHdhB/c0GUsH+y39UfCi3dzz8OlQuPmnaJOMoDHQBA=="],
"safer-buffer": ["safer-buffer@2.1.2", "", {}, "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="],
@@ -419,6 +431,8 @@
"slash": ["slash@3.0.0", "", {}, "sha512-g9Q1haeby36OSStwb4ntCGGGaKsaVSjQ68fBxoQcutl5fS1vuY18H3wSt3jFyFtrkx+Kz0V1G85A4MyAdDMi2Q=="],
"source-map-js": ["source-map-js@1.2.1", "", {}, "sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA=="],
"spawndamnit": ["spawndamnit@3.0.1", "", { "dependencies": { "cross-spawn": "^7.0.5", "signal-exit": "^4.0.1" } }, "sha512-MmnduQUuHCoFckZoWnXsTg7JaiLBJrKFj9UI2MbRPGaJeVpsLcVBu6P/IGZovziM/YBsellCmsprgNA+w0CzVg=="],
"sprintf-js": ["sprintf-js@1.0.3", "", {}, "sha512-D9cPgkvLlV3t3IzL0D0YLvGA9Ahk4PcvVwUbN0dSGr1aP0Nrt4AEnTUbuGvquEC0mA64Gqt1fzirlRs5ibXx8g=="],
@@ -433,15 +447,15 @@
"term-size": ["term-size@2.2.1", "", {}, "sha512-wK0Ri4fOGjv/XPy8SBHZChl8CM7uMc5VML7SqiQ0zG7+J5Vr+RMQDoHa2CNT6KHUnTGIXH34UDMkPzAUyapBZg=="],
"tldts": ["tldts@6.1.86", "", { "dependencies": { "tldts-core": "^6.1.86" }, "bin": { "tldts": "bin/cli.js" } }, "sha512-WMi/OQ2axVTf/ykqCQgXiIct+mSQDFdH2fkwhPwgEwvJ1kSzZRiinb0zF2Xb8u4+OqPChmyI6MEu4EezNJz+FQ=="],
"tldts": ["tldts@7.0.28", "", { "dependencies": { "tldts-core": "^7.0.28" }, "bin": { "tldts": "bin/cli.js" } }, "sha512-+Zg3vWhRUv8B1maGSTFdev9mjoo8Etn2Ayfs4cnjlD3CsGkxXX4QyW3j2WJ0wdjYcYmy7Lx2RDsZMhgCWafKIw=="],
"tldts-core": ["tldts-core@6.1.86", "", {}, "sha512-Je6p7pkk+KMzMv2XXKmAE3McmolOQFdxkKw0R8EYNr7sELW46JqnNeTX8ybPiQgvg1ymCoF8LXs5fzFaZvJPTA=="],
"tldts-core": ["tldts-core@7.0.28", "", {}, "sha512-7W5Efjhsc3chVdFhqtaU0KtK32J37Zcr9RKtID54nG+tIpcY79CQK/veYPODxtD/LJ4Lue66jvrQzIX2Z2/pUQ=="],
"to-regex-range": ["to-regex-range@5.0.1", "", { "dependencies": { "is-number": "^7.0.0" } }, "sha512-65P7iz6X5yEr1cwcgvQxbbIw7Uk3gOy5dIdtZ4rDveLqhrdJP+Li/Hx6tyK0NEb+2GCyneCMJiGqrADCSNk8sQ=="],
"tough-cookie": ["tough-cookie@5.1.2", "", { "dependencies": { "tldts": "^6.1.32" } }, "sha512-FVDYdxtnj0G6Qm/DhNPSb8Ju59ULcup3tuJxkFb5K8Bv2pUXILbf0xZWU8PX8Ov19OXljbUyveOFwRMwkXzO+A=="],
"tough-cookie": ["tough-cookie@6.0.1", "", { "dependencies": { "tldts": "^7.0.5" } }, "sha512-LktZQb3IeoUWB9lqR5EWTHgW/VTITCXg4D21M+lvybRVdylLrRMnqaIONLVb5mav8vM19m44HIcGq4qASeu2Qw=="],
"tr46": ["tr46@5.1.1", "", { "dependencies": { "punycode": "^2.3.1" } }, "sha512-hdF5ZgjTqgAntKkklYw0R03MG2x/bSzTtkxmIRw/sTNV8YXsCJ1tfLAX23lhxhHJlEf3CRCOCGGWw3vI3GaSPw=="],
"tr46": ["tr46@6.0.0", "", { "dependencies": { "punycode": "^2.3.1" } }, "sha512-bLVMLPtstlZ4iMQHpFHTR7GAGj2jxi8Dg0s2h2MafAE4uSWF98FC/3MomU51iQAMf8/qDUbKWf5GxuvvVcXEhw=="],
"trough": ["trough@2.2.0", "", {}, "sha512-tmMpK00BjZiUyVyvrBK7knerNgmgvcV/KLVyuma/SC+TQN167GrMRciANTz09+k3zW8L8t60jWO1GpfkZdjTaw=="],
@@ -453,6 +467,8 @@
"uhyphen": ["uhyphen@0.2.0", "", {}, "sha512-qz3o9CHXmJJPGBdqzab7qAYuW8kQGKNEuoHFYrBwV6hWIMcpAmxDLXojcHfFr9US1Pe6zUswEIJIbLI610fuqA=="],
"undici": ["undici@7.25.0", "", {}, "sha512-xXnp4kTyor2Zq+J1FfPI6Eq3ew5h6Vl0F/8d9XU5zZQf1tX9s2Su1/3PiMmUANFULpmksxkClamIZcaUqryHsQ=="],
"undici-types": ["undici-types@7.18.2", "", {}, "sha512-AsuCzffGHJybSaRrmr5eHr81mwJU3kjw6M+uprWvCXiNeN9SOGwQ3Jn8jb8m3Z6izVgknn1R0FTCEAP2QrLY/w=="],
"unified": ["unified@11.0.5", "", { "dependencies": { "@types/unist": "^3.0.0", "bail": "^2.0.0", "devlop": "^1.0.0", "extend": "^3.0.0", "is-plain-obj": "^4.0.0", "trough": "^2.0.0", "vfile": "^6.0.0" } }, "sha512-xKvGhPWw3k84Qjh8bI3ZeJjqnyadK+GEFtazSfZv/rKeTkTjOJho6mFqh2SM96iIcZokxiOpg78GazTSg8+KHA=="],
@@ -473,13 +489,11 @@
"w3c-xmlserializer": ["w3c-xmlserializer@5.0.0", "", { "dependencies": { "xml-name-validator": "^5.0.0" } }, "sha512-o8qghlI8NZHU1lLPrpi2+Uq7abh4GGPpYANlalzWxyWteJOCsr/P+oPBA49TOLu5FTZO4d3F9MnWJfiMo4BkmA=="],
"webidl-conversions": ["webidl-conversions@7.0.0", "", {}, "sha512-VwddBukDzu71offAQR975unBIGqfKZpM+8ZX6ySk8nYhVoo5CYaZyzt3YBvYtRtO+aoGlqxPg/B87NGVZ/fu6g=="],
"webidl-conversions": ["webidl-conversions@8.0.1", "", {}, "sha512-BMhLD/Sw+GbJC21C/UgyaZX41nPt8bUTg+jWyDeg7e7YN4xOM05YPSIXceACnXVtqyEw/LMClUQMtMZ+PGGpqQ=="],
"whatwg-encoding": ["whatwg-encoding@3.1.1", "", { "dependencies": { "iconv-lite": "0.6.3" } }, "sha512-6qN4hJdMwfYBtE3YBTTHhoeuUrDBPZmbQaxWAqSALV/MeEnR5z1xd8UKud2RAkFoPkmB+hli1TZSnyi84xz1vQ=="],
"whatwg-mimetype": ["whatwg-mimetype@5.0.0", "", {}, "sha512-sXcNcHOC51uPGF0P/D4NVtrkjSU2fNsm9iog4ZvZJsL3rjoDAzXZhkm2MWt1y+PUdggKAYVoMAIYcs78wJ51Cw=="],
"whatwg-mimetype": ["whatwg-mimetype@4.0.0", "", {}, "sha512-QaKxh0eNIi2mE9p2vEdzfagOKHCcj1pJ56EEHGQOVxp8r9/iszLUUV7v89x9O1p/T+NlTM5W7jW6+cz4Fq1YVg=="],
"whatwg-url": ["whatwg-url@14.2.0", "", { "dependencies": { "tr46": "^5.1.0", "webidl-conversions": "^7.0.0" } }, "sha512-De72GdQZzNTUBBChsXueQUnPKDkg/5A5zp7pFDuQAj5UFoENpiACU0wlCvzpAGnTkj++ihpKwKyYewn/XNUbKw=="],
"whatwg-url": ["whatwg-url@16.0.1", "", { "dependencies": { "@exodus/bytes": "^1.11.0", "tr46": "^6.0.0", "webidl-conversions": "^8.0.1" } }, "sha512-1to4zXBxmXHV3IiSSEInrreIlu02vUOvrhxJJH5vcxYTBDAx51cqZiKdyTxlecdKNSjj8EcxGBxNf6Vg+945gw=="],
"which": ["which@2.0.2", "", { "dependencies": { "isexe": "^2.0.0" }, "bin": { "node-which": "./bin/node-which" } }, "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA=="],
@@ -503,11 +517,13 @@
"htmlparser2/entities": ["entities@7.0.1", "", {}, "sha512-TWrgLOFUQTH994YUyl1yT4uyavY5nNB5muff+RtWaqNVCAK408b5ZnnbNAUEWLTCpum9w6arT70i1XdQ4UeOPA=="],
"jsdom/parse5": ["parse5@8.0.1", "", { "dependencies": { "entities": "^8.0.0" } }, "sha512-z1e/HMG90obSGeidlli3hj7cbocou0/wa5HacvI3ASx34PecNjNQeaHNo5WIZpWofN9kgkqV1q5YvXe3F0FoPw=="],
"mdast-util-find-and-replace/escape-string-regexp": ["escape-string-regexp@5.0.0", "", {}, "sha512-/veY75JbMK4j1yjvuUxuVsiS/hr/4iHs9FTT6cgTexxdE0Ly/glccBAkloH/DofkjRbZU3bnoj38mOmhkZ0lHw=="],
"read-yaml-file/js-yaml": ["js-yaml@3.14.2", "", { "dependencies": { "argparse": "^1.0.7", "esprima": "^4.0.0" }, "bin": { "js-yaml": "bin/js-yaml.js" } }, "sha512-PMSmkqxr106Xa156c2M265Z+FTrPl+oxd/rgOQy2tijQeK5TxQ43psO1ZCwhVOSdnn+RzkzlRz/eY4BgJBYVpg=="],
"whatwg-encoding/iconv-lite": ["iconv-lite@0.6.3", "", { "dependencies": { "safer-buffer": ">= 2.1.2 < 3.0.0" } }, "sha512-4fCk79wshMdzMp2rH06qWrJE4iolqLhCUH+OiuIgU++RB0+94NlDL81atO7GX55uUKueo0txHNtvEyI6D7WdMw=="],
"jsdom/parse5/entities": ["entities@8.0.0", "", {}, "sha512-zwfzJecQ/Uej6tusMqwAqU/6KL2XaB2VZ2Jg54Je6ahNBGNH6Ek6g3jjNCF0fG9EWQKGZNddNjU5F1ZQn/sBnA=="],
"read-yaml-file/js-yaml/argparse": ["argparse@1.0.10", "", { "dependencies": { "sprintf-js": "~1.0.2" } }, "sha512-o5Roy6tNG4SL/FOkCAN6RzjiakZS25RLYFrcMttJqbdd8BWrnA+fGz57iN5Pb06pvBGvl5gQ0B48dJlslXvoTg=="],
}
+10 -5
View File
@@ -1,12 +1,13 @@
{
"name": "baoyu-fetch",
"version": "0.1.1",
"version": "0.1.2",
"description": "Read URLs into high-quality Markdown or JSON with Chrome CDP and site adapters.",
"type": "module",
"bin": {
"baoyu-fetch": "./src/cli.ts"
"baoyu-fetch": "dist/cli.js"
},
"files": [
"dist",
"README.zh-CN.md",
"src/adapters",
"src/browser",
@@ -36,7 +37,8 @@
"dev": "bun run ./src/cli.ts",
"release": "changeset publish",
"test": "bun test",
"version-packages": "changeset version"
"version-packages": "changeset version",
"prepack": "bun run build"
},
"engines": {
"bun": ">=1.2.0"
@@ -44,8 +46,8 @@
"dependencies": {
"@mozilla/readability": "^0.6.0",
"chrome-launcher": "^1.2.1",
"defuddle": "^0.14.0",
"jsdom": "^26.0.0",
"defuddle": "^0.17.0",
"jsdom": "^29.0.2",
"remark-gfm": "^4.0.1",
"remark-parse": "^11.0.0",
"turndown": "^7.2.0",
@@ -59,5 +61,8 @@
"@types/jsdom": "^21.1.7",
"@types/ws": "^8.18.1",
"typescript": "^5.9.2"
},
"overrides": {
"@xmldom/xmldom": "0.8.13"
}
}
@@ -339,4 +339,105 @@ describe("x article extraction", () => {
expect(content.markdown).toContain("https://example.com/report");
expect(content.markdown).not.toContain("https://t.co/example");
});
test("renders article video media as the highest bitrate mp4 link", () => {
const payload = {
data: {
tweetResult: {
result: {
rest_id: "2046628728210350366",
legacy: {
full_text: "Fallback text",
favorite_count: 12,
retweet_count: 3,
reply_count: 1,
created_at: "Tue Apr 21 16:34:47 +0000 2026",
},
core: {
user_results: {
result: {
legacy: {
name: "Google AI Studio",
screen_name: "GoogleAIStudio",
},
},
},
},
article: {
article_results: {
result: {
title: "Article with video",
media_entities: [
{
media_id: "2046627051822530560",
media_info: {
__typename: "ApiVideo",
variants: [
{
bit_rate: 2176000,
content_type: "video/mp4",
url: "https://video.twimg.com/amplify_video/2046627051822530560/vid/avc1/1280x720/medium.mp4",
},
{
content_type: "application/x-mpegURL",
url: "https://video.twimg.com/amplify_video/2046627051822530560/pl/playlist.m3u8",
},
{
bit_rate: 10368000,
content_type: "video/mp4",
url: "https://video.twimg.com/amplify_video/2046627051822530560/vid/avc1/1920x1080/high.mp4",
},
],
},
},
],
content_state: {
blocks: [
{
type: "atomic",
text: " ",
data: {},
entityRanges: [{ key: 0, length: 1, offset: 0 }],
inlineStyleRanges: [],
},
],
entityMap: [
{
key: "0",
value: {
type: "MEDIA",
mutability: "Immutable",
data: {
mediaItems: [{ mediaId: "2046627051822530560" }],
},
},
},
],
},
},
},
},
},
},
},
};
const document = extractArticleDocumentFromPayload(
payload,
"2046628728210350366",
"https://x.com/GoogleAIStudio/status/2046628728210350366",
);
expect(document).not.toBeNull();
const content = document?.content[0];
expect(content?.type).toBe("markdown");
if (!content || content.type !== "markdown") {
throw new Error("Expected markdown content");
}
expect(content.markdown).toBe(
"[video](https://video.twimg.com/amplify_video/2046627051822530560/vid/avc1/1920x1080/high.mp4)",
);
});
});
@@ -184,4 +184,77 @@ describe("x single tweet extraction", () => {
"Quoted Author (@quoted_author)\n\nQuoted tweet text\n\nphoto: https://pbs.twimg.com/media/quoted?format=jpg&name=4096x4096",
});
});
test("uses the highest bitrate mp4 variant for tweet video media", () => {
const payload = {
data: {
tweetResult: {
result: {
rest_id: "2046628728210350366",
legacy: {
full_text: "Video post https://t.co/video",
favorite_count: 12,
retweet_count: 3,
reply_count: 1,
created_at: "Tue Apr 21 16:34:47 +0000 2026",
extended_entities: {
media: [
{
type: "video",
media_url_https: "https://pbs.twimg.com/amplify_video_thumb/2046627051822530560/img/poster.jpg",
url: "https://t.co/video",
video_info: {
variants: [
{
content_type: "application/x-mpegURL",
url: "https://video.twimg.com/amplify_video/2046627051822530560/pl/playlist.m3u8",
},
{
bitrate: 256000,
content_type: "video/mp4",
url: "https://video.twimg.com/amplify_video/2046627051822530560/vid/avc1/480x270/low.mp4",
},
{
bitrate: 10368000,
content_type: "video/mp4",
url: "https://video.twimg.com/amplify_video/2046627051822530560/vid/avc1/1920x1080/high.mp4",
},
],
},
},
],
},
},
core: {
user_results: {
result: {
legacy: {
name: "Google AI Studio",
screen_name: "GoogleAIStudio",
},
},
},
},
},
},
},
};
const document = extractSingleTweetDocumentFromPayload(
payload,
"2046628728210350366",
"https://x.com/GoogleAIStudio/status/2046628728210350366",
);
expect(document).not.toBeNull();
const listBlock = document?.content.find((block) => block.type === "list");
expect(listBlock).toEqual({
type: "list",
ordered: false,
items: [
"video: https://video.twimg.com/amplify_video/2046627051822530560/vid/avc1/1920x1080/high.mp4",
],
});
});
});
+48 -20
View File
@@ -9,18 +9,43 @@ import {
getUser,
isRecord,
normalizeTitle,
resolveBestXVideoVariantUrl,
toHighResXImageUrl,
toXTweet,
} from "./shared";
import type { JsonObject } from "./types";
function resolveArticleMediaUrl(mediaInfo: JsonObject): string {
interface ArticleMedia {
kind: "image" | "video";
url: string;
}
function resolveArticleMedia(mediaInfo: JsonObject): ArticleMedia | null {
const videoUrl = resolveBestXVideoVariantUrl(mediaInfo);
if (videoUrl) {
return {
kind: "video",
url: videoUrl,
};
}
const rawUrl =
(typeof mediaInfo.original_img_url === "string" && mediaInfo.original_img_url) ||
(typeof mediaInfo.url === "string" && mediaInfo.url) ||
"";
return rawUrl ? toHighResXImageUrl(rawUrl) : "";
if (!rawUrl) {
return null;
}
return {
kind: "image",
url: toHighResXImageUrl(rawUrl),
};
}
function resolveArticleMediaUrl(mediaInfo: JsonObject): string {
return resolveArticleMedia(mediaInfo)?.url ?? "";
}
function normalizeEntityMap(entityMap: unknown): Map<string, JsonObject> {
@@ -139,8 +164,8 @@ function getTweetId(entityMap: Map<string, JsonObject>, entityKey: unknown): str
return data.tweetId;
}
function buildMediaUrlMap(articleResult: JsonObject): Map<string, string> {
const mediaMap = new Map<string, string>();
function buildMediaMap(articleResult: JsonObject): Map<string, ArticleMedia> {
const mediaMap = new Map<string, ArticleMedia>();
const mediaEntities = Array.isArray(articleResult.media_entities) ? articleResult.media_entities : [];
for (const entity of mediaEntities) {
@@ -148,25 +173,28 @@ function buildMediaUrlMap(articleResult: JsonObject): Map<string, string> {
continue;
}
const mediaInfo = entity.media_info;
const url = resolveArticleMediaUrl(mediaInfo);
if (url) {
mediaMap.set(entity.media_id, url);
const media = resolveArticleMedia(entity.media_info);
if (media) {
mediaMap.set(entity.media_id, media);
}
}
const coverMedia = isRecord(articleResult.cover_media) ? articleResult.cover_media : null;
if (coverMedia && typeof coverMedia.media_id === "string" && isRecord(coverMedia.media_info)) {
const url = resolveArticleMediaUrl(coverMedia.media_info);
if (url) {
mediaMap.set(coverMedia.media_id, url);
const media = resolveArticleMedia(coverMedia.media_info);
if (media) {
mediaMap.set(coverMedia.media_id, media);
}
}
return mediaMap;
}
function getMediaMarkdown(entityMap: Map<string, JsonObject>, entityKey: unknown, mediaMap: Map<string, string>): string[] {
function getMediaMarkdown(
entityMap: Map<string, JsonObject>,
entityKey: unknown,
mediaMap: Map<string, ArticleMedia>,
): string[] {
const key =
typeof entityKey === "string" || typeof entityKey === "number"
? String(entityKey)
@@ -182,19 +210,19 @@ function getMediaMarkdown(entityMap: Map<string, JsonObject>, entityKey: unknown
const data = isRecord(entity.data) ? entity.data : {};
const mediaItems = Array.isArray(data.mediaItems) ? data.mediaItems : [];
const urls: string[] = [];
const media: ArticleMedia[] = [];
for (const item of mediaItems) {
if (!isRecord(item) || typeof item.mediaId !== "string") {
continue;
}
const url = mediaMap.get(item.mediaId);
if (url && !urls.includes(url)) {
urls.push(url);
const mediaItem = mediaMap.get(item.mediaId);
if (mediaItem && !media.some((value) => value.url === mediaItem.url)) {
media.push(mediaItem);
}
}
return urls.map((url) => `![](${url})`);
return media.map((item) => item.kind === "image" ? `![](${item.url})` : `[video](${item.url})`);
}
function resolveTweetMarkdown(payloads: unknown[], tweetId: string, pageUrl: string): string | null {
@@ -250,7 +278,7 @@ function replaceLinkEntities(text: string, block: JsonObject, entityMap: Map<str
function renderAtomicBlock(
block: JsonObject,
entityMap: Map<string, JsonObject>,
mediaMap: Map<string, string>,
mediaMap: Map<string, ArticleMedia>,
payloads: unknown[],
pageUrl: string,
): string | null {
@@ -293,7 +321,7 @@ function renderAtomicBlock(
function renderArticleBlocks(
blocks: unknown[],
entityMap: Map<string, JsonObject>,
mediaMap: Map<string, string>,
mediaMap: Map<string, ArticleMedia>,
payloads: unknown[],
pageUrl: string,
): string {
@@ -396,7 +424,7 @@ export function extractArticleDocumentFromPayload(
const contentState = isRecord(articleResult.content_state) ? articleResult.content_state : {};
const blocks = Array.isArray(contentState.blocks) ? contentState.blocks : [];
const entityMap = normalizeEntityMap(contentState.entityMap);
const mediaMap = buildMediaUrlMap(articleResult);
const mediaMap = buildMediaMap(articleResult);
const richMarkdown = renderArticleBlocks(blocks, entityMap, mediaMap, payloads, pageUrl);
const plainText = typeof articleResult.plain_text === "string" ? articleResult.plain_text.trim() : "";
const markdown = richMarkdown || plainText || getTweetText(tweet);
+39 -2
View File
@@ -251,6 +251,39 @@ export function toHighResXImageUrl(rawUrl: string): string {
}
}
function getVideoVariantBitrate(variant: JsonObject): number {
const value = variant.bitrate ?? variant.bit_rate;
return typeof value === "number" && Number.isFinite(value) ? value : 0;
}
function getVideoVariantContentType(variant: JsonObject): string {
const value = variant.content_type ?? variant.contentType;
return typeof value === "string" ? value.toLowerCase() : "";
}
export function resolveBestXVideoVariantUrl(mediaInfo: unknown): string | undefined {
if (!isRecord(mediaInfo)) {
return undefined;
}
const variantsSource =
Array.isArray(mediaInfo.variants)
? mediaInfo.variants
: isRecord(mediaInfo.video_info) && Array.isArray(mediaInfo.video_info.variants)
? mediaInfo.video_info.variants
: [];
const variants = variantsSource
.filter(
(variant): variant is JsonObject =>
isRecord(variant) && typeof variant.url === "string" && variant.url.length > 0,
)
.filter((variant) => getVideoVariantContentType(variant) === "video/mp4")
.sort((left, right) => getVideoVariantBitrate(right) - getVideoVariantBitrate(left));
return typeof variants[0]?.url === "string" ? variants[0].url : undefined;
}
export function getTweetMedia(tweet: JsonObject): XMedia[] {
const legacy = getLegacy(tweet);
const extendedEntities = isRecord(legacy.extended_entities) ? legacy.extended_entities : emptyObject();
@@ -268,10 +301,14 @@ export function getTweetMedia(tweet: JsonObject): XMedia[] {
alt: typeof value.ext_alt_text === "string" ? value.ext_alt_text : undefined,
};
}
if ((value.type === "video" || value.type === "animated_gif") && typeof value.media_url_https === "string") {
if (value.type === "video" || value.type === "animated_gif") {
const videoUrl = resolveBestXVideoVariantUrl(value);
if (!videoUrl) {
return null;
}
return {
type: value.type,
url: value.media_url_https,
url: videoUrl,
};
}
return null;

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