chore: release v1.117.2

docs(skills): ban programmatic text repair on generated bitmaps
Add a text-correction policy to all raster-image skills: title/subtitle/labels/dialogue/etc. inside generated bitmaps must NOT be patched with ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR overlays, or any other programmatic painter. On error, regenerate from a corrected prompt or switch to a lower-text variant. Synced to: baoyu-cover-image, baoyu-article-illustrator, baoyu-comic, baoyu-image-cards, baoyu-xhs-images, baoyu-infographic, baoyu-slide-deck.
2026-07-12 22:09:48 +08:00 · 2026-05-17 21:10:55 -05:00 · 2026-05-17 21:10:50 -05:00 · 2026-05-16 23:09:11 -05:00 · 2026-05-16 23:07:09 -05:00 · 2026-05-16 22:33:07 -05:00
27 changed files with 851 additions and 101 deletions
@@ -6,7 +6,7 @@
  },
  "metadata": {
    "description": "Skills shared by Baoyu for improving daily work efficiency",
-    "version": "1.116.4"
+    "version": "1.117.2"
  },
  "plugins": [
    {
@@ -2,6 +2,35 @@

 English | [中文](./CHANGELOG.zh.md)

+## 1.117.2 - 2026-05-17
+
+### Documentation
+- `baoyu-cover-image`: ban programmatic text repair on generated bitmaps — disallow ImageMagick / Pillow / Canvas / SVG / HTML overlays to cover, rewrite, or replace title/subtitle text; regenerate from a corrected prompt or switch to a lower-text or no-title variant instead
+- `baoyu-article-illustrator`, `baoyu-comic`, `baoyu-image-cards`, `baoyu-xhs-images`, `baoyu-infographic`, `baoyu-slide-deck`: sync the same text-repair ban with skill-specific text categories (labels/captions, dialogue/sound effects, titles/body/tags, headings/data values, slide titles/bullets)
+
+## 1.117.1 - 2026-05-16
+
+### Fixes
+- `baoyu-post-to-wechat`: fix WeChat browser article publishing (by @zhangga)
+- `baoyu-post-to-wechat`: fix image upload fallback and WebP clipboard copy on macOS
+
+## 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
@@ -2,6 +2,35 @@

 [English](./CHANGELOG.md) | 中文

+## 1.117.2 - 2026-05-17
+
+### 文档
+- `baoyu-cover-image`：禁止用代码修补已生成的位图文字 —— 不再使用 ImageMagick / Pillow / Canvas / SVG / HTML 叠层覆盖、重写或替换标题/副标题文字，文字异常时应改 prompt 重新生成或换用少字/无标题版本
+- `baoyu-article-illustrator`、`baoyu-comic`、`baoyu-image-cards`、`baoyu-xhs-images`、`baoyu-infographic`、`baoyu-slide-deck`：同步上述文字修补禁令，各自针对该 skill 的文字类别（标签/说明、对白/拟声词、标题/正文/标签、标题/数据、幻灯片标题/要点）
+
+## 1.117.1 - 2026-05-16
+
+### 修复
+- `baoyu-post-to-wechat`：修复微信浏览器文章发布问题 (by @zhangga)
+- `baoyu-post-to-wechat`：修复图片上传回退逻辑及 macOS WebP 剪贴板复制
+
+## 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` 和 `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
@@ -1,7 +1,7 @@
 ---
 name: baoyu-article-illustrator
 description: Analyzes article structure, identifies positions requiring visual aids, generates illustrations with Type × Style × Palette three-dimension approach. Use when user asks to "illustrate article", "add images", "generate images for article", or "为文章配图".
-version: 1.58.0
+version: 1.59.0
 metadata:
  openclaw:
    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-article-illustrator
@@ -36,12 +36,30 @@ When this skill needs to render an image, resolve the backend in this order:

 **⛔ 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.

+**⛔ Never repair rendered text by painting over a generated bitmap.** Do not use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other programmatic overlay to cover, rewrite, erase, stroke, or replace labels, captions, or any other text inside an already generated illustration. If text is wrong or unclear, regenerate from a corrected prompt, redraw with less or no on-image text, or ask the user which imperfect candidate to keep.
+
 Setting `preferred_image_backend: ask` forces the step-3 prompt every run regardless of available backends. Users change the pinned backend via the `## Changing Preferences` section below.

 **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.

+## Batch Generation Policy
+
+After every prompt file for the run has been saved and verified, generate images in batches by default.
+
+Priority order:
+
+1. Use the chosen backend's native batch / multi-task interface if it exists. Each task must keep its own prompt file, output path, aspect ratio, and direct reference images.
+2. If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` images at a time. Default: `4`. An explicit user request in the current message, such as `--batch-size 4` or "并行4张一起生成", overrides EXTEND.md.
+3. If neither native batch nor parallel tool calls are available, generate sequentially.
+
+Rules:
+
+- Never start the first batch until all prompt files for that batch exist on disk.
+- Retry failed items once without regenerating successful items.
+- Do not use subagents merely to parallelize image rendering. Use subagents only for separate prompt iteration or creative exploration.
+
 ## Confirmation Policy

 Default behavior: **confirm before generation**.
@@ -167,7 +185,7 @@ Full template: [references/workflow.md](references/workflow.md#step-4-generate-o
 4. LABELS **MUST** include article-specific data: actual numbers, terms, metrics, quotes
 5. **DO NOT** pass ad-hoc inline prompts to `--prompt` without saving prompt files first
 6. Select the backend via the `## Image Generation Tools` rule at the top: use whatever is available; if multiple, ask the user once. Do this once per session before any generation.
-7. **Execution strategy**: When multiple illustrations have saved prompt files and the task is now plain generation, prefer the chosen backend's batch interface (if it offers one) over spawning subagents. Use subagents only when each image still needs separate prompt iteration or creative exploration. If the backend has no batch interface, generate sequentially.
+7. **Execution strategy**: Generate in batches per the `## Batch Generation Policy`: backend native batch first, runtime parallel tool calls second, sequential only as fallback. Default batch size is 4 unless EXTEND.md or the current request overrides it.
 8. Process references (`direct`/`style`/`palette`) per prompt frontmatter
 9. Apply watermark if EXTEND.md enabled
 10. Generate from saved prompt files; retry once on failure
@@ -217,6 +235,12 @@ When input is **pasted content** (no file path), always uses `illustrations/{top
 | Add | Position → Prompt → Generate → Update outline → Insert |
 | Delete | Delete files → Remove reference → Update outline |

+Text correction policy:
+
+- If any rendered text (labels, captions, etc.) is misspelled, garbled, hard to read, or visually weak, do not patch the bitmap with code.
+- For text-correction regenerations, write a new prompt file and a new output path so the flawed candidate is preserved for comparison.
+- Post-processing is limited to crop, resize, compression, or format conversion that does not alter text or the main composition.
+
 ## References

 | File | Content |
@@ -239,5 +263,6 @@ EXTEND.md lives at the first matching path listed in Step 1.5. Three ways to cha
  - `preferred_image_backend: codex-imagegen` — pin to Codex's built-in.
  - `preferred_image_backend: baoyu-imagine` — pin to the baoyu-imagine skill.
  - `preferred_image_backend: ask` — confirm backend every run.
+  - `generation_batch_size: 4` — default number of images to render concurrently when the runtime supports parallel generation calls.
  - `preferred_type: infographic`, `preferred_style: notion`, `preferred_palette: macaron`, `language: zh`.
  - `default_output_dir: imgs-subdir` — where to write generated images relative to the article.
@@ -129,12 +129,15 @@ preferred_style:
 default_output_dir: imgs-subdir  # same-dir | imgs-subdir | illustrations-subdir | independent
 language: null
 preferred_image_backend: auto
+generation_batch_size: 4
 custom_styles: []
 ---
 ```

 `preferred_image_backend: auto` is the baked-in default — first-time setup does not ask about it. The `## Image Generation Tools` rule in SKILL.md then picks the runtime-native tool (Codex `imagegen`, Hermes `image_generate`, etc.) when available, and falls back to installed backends.

+`generation_batch_size: 4` is the baked-in default for batch rendering. The current user request may override it for one run.
+
 ## Modifying Preferences Later

 See the `## Changing Preferences` section in `SKILL.md` for the canonical list of common edits (pin backend, change defaults, retrigger setup). Full schema: `preferences-schema.md`.
@@ -28,6 +28,8 @@ default_output_dir: null  # same-dir|illustrations-subdir|independent

 preferred_image_backend: auto  # auto|ask|<backend-id>

+generation_batch_size: 4       # 1-8, used when backend/runtime supports batch or parallel generation
+
 custom_styles:
  - name: my-style
    description: "Style description"
@@ -55,6 +57,7 @@ custom_styles:
 | `language` | string | null | Output language (null = auto-detect) |
 | `default_output_dir` | enum | null | Output directory preference (null = ask each time) |
 | `preferred_image_backend` | string | `auto` | Image backend selection. `auto` = prefer runtime-native tool, fall back to the only installed backend, ask if multiple non-native are present. `ask` = always confirm on every run. `<backend-id>` (e.g., `codex-imagegen`, `baoyu-imagine`, `image_generate`) = pin this backend when available; fall back to `auto` when it isn't. Absent = `auto`. Resolution logic is documented in `SKILL.md`'s `## Image Generation Tools` section. |
+| `generation_batch_size` | int | 4 | Number of images to dispatch per batch when the backend has native batch support or the runtime can issue parallel generation calls. Clamp invalid values to 1-8. Current user request overrides this value. |
 | `custom_styles` | array | [] | User-defined styles |

 ## Position Options
@@ -118,6 +121,8 @@ language: zh

 preferred_image_backend: codex-imagegen

+generation_batch_size: 4
+
 custom_styles:
  - name: corporate
    description: "Professional B2B style"
@@ -18,6 +18,9 @@
 # Specify density
 /baoyu-article-illustrator path/to/article.md --density rich

+# Generate up to 4 images in parallel after prompts are saved
+/baoyu-article-illustrator path/to/article.md --batch-size 4
+
 # Direct content input (paste mode)
 /baoyu-article-illustrator
 [paste content]
@@ -31,6 +34,7 @@
 | `--style <name>` | Visual style (see references/styles.md) |
 | `--preset <name>` | Shorthand for type + style combo (see [references/style-presets.md](references/style-presets.md)) |
 | `--density <level>` | Image count: minimal / balanced / rich |
+| `--batch-size <n>` | Temporary generation batch size for this run. Default: `generation_batch_size` from EXTEND.md, otherwise 4. Clamp to 1-8. |

 ## Input Modes

@@ -335,8 +335,11 @@ Prompt Files:
 **DO NOT** pass ad-hoc inline text to `--prompt` without first saving prompt files. The generation command should either use `--promptfiles prompts/NN-{type}-{slug}.md` or read the saved file content for `--prompt`.

 **Execution choice**:
- If multiple illustrations already have saved prompt files and the task is now plain generation, prefer the chosen backend's batch interface (if it offers one); otherwise generate sequentially
- Use subagents only when each illustration still needs separate prompt rewriting, style exploration, or other per-image reasoning before generation
+- If multiple illustrations already have saved prompt files and the task is now plain generation, use batch generation by default.
+- Prefer the chosen backend's native batch / multi-task interface when available.
+- If the backend has no native batch interface but the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` tasks at a time. Default: `4`. The current user request overrides EXTEND.md.
+- Generate sequentially only when neither backend batch nor runtime parallel calls are available.
+- Use subagents only when each illustration still needs separate prompt rewriting, style exploration, or other per-image reasoning before generation. Do not use subagents just to parallelize rendering.

 **CRITICAL - References in Frontmatter**:
 - Only add `references` field if files ACTUALLY EXIST in `references/` directory
@@ -394,12 +397,18 @@ Add: `Include a subtle watermark "[content]" at [position].`

 ### 5.5 Generate

-1. For each illustration:
-   - **Backup rule**: If image file exists, rename to `NN-{type}-{slug}-backup-YYYYMMDD-HHMMSS.md`
-   - If references with `direct` usage: include `--ref` parameter
-   - Generate image
-2. After each: "Generated X/N"
-3. On failure: retry once, then log and continue
+1. Build a generation task list from saved prompt files:
+   - `prompt_file`: `{output-dir}/prompts/NN-{type}-{slug}.md`
+   - `output_file`: `{output-dir}/NN-{type}-{slug}.png`
+   - `aspect_ratio`: from prompt frontmatter or prompt body
+   - `refs`: only verified `direct` references from prompt frontmatter
+2. **Backup rule**: Before dispatching a task, if its output image already exists, rename it to `NN-{type}-{slug}-backup-YYYYMMDD-HHMMSS.{ext}`.
+3. Dispatch tasks in batches:
+   - Native batch backend: send all eligible tasks, or chunks of `generation_batch_size` if the backend has a practical limit.
+   - Runtime parallel calls: issue up to `generation_batch_size` image calls concurrently, then continue with the next chunk.
+   - Sequential fallback: process one task at a time.
+4. After each completed task, record: "Generated X/N: filename".
+5. On failure: retry the failed task once from the same saved prompt file. Keep successful outputs and continue.

 ---

@@ -1,7 +1,7 @@
 ---
 name: baoyu-comic
-description: Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and sequential image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".
-version: 1.56.1
+description: Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and batch-capable image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".
+version: 1.57.0
 metadata:
  openclaw:
    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-comic
@@ -40,12 +40,31 @@ When this skill needs to render an image, resolve the backend in this order:

 **⛔ 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.

+**⛔ Never repair rendered text by painting over a generated bitmap.** Do not use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other programmatic overlay to cover, rewrite, erase, stroke, or replace dialogue, sound effects, panel labels, or any other text inside an already generated comic page. If text is wrong or unclear, regenerate from a corrected prompt, redraw the page with less or no on-image text, or ask the user which imperfect candidate to keep.
+
 Setting `preferred_image_backend: ask` forces the step-3 prompt every run regardless of available backends. Users change the pinned backend via the `## Changing Preferences` section below.

 **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.

+## Batch Generation Policy
+
+After every prompt file for the current generation group has been saved and verified, generate images in batches by default.
+
+Priority order:
+
+1. Use the chosen backend's native batch / multi-task interface if it exists. Each task must keep its own prompt file, output path, aspect ratio, session ID, and direct reference images.
+2. If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` images at a time. Default: `4`. An explicit user request in the current message, such as `--batch-size 4` or "并行4张一起生成", overrides EXTEND.md.
+3. If neither native batch nor parallel tool calls are available, generate sequentially.
+
+Rules:
+
+- Honor workflow dependencies first: generate `characters/characters.png` before pages that use it as a reference.
+- Never start the first page batch until all selected page prompt files exist on disk.
+- Retry failed items once without regenerating successful items.
+- Do not use subagents merely to parallelize image rendering. Use subagents only for separate prompt iteration or creative exploration.
+
 ## Reference Images

 Users may supply reference images to guide art style, palette, scene composition, or subject. This is **separate from** the auto-generated character sheet (Step 7.1) — both can coexist: user refs guide the look, the character sheet anchors recurring character identity.
@@ -90,6 +109,7 @@ references:
 | `--aspect` | 3:4 (default, portrait), 4:3 (landscape), 16:9 (widescreen) | Page aspect ratio |
 | `--lang` | auto (default), zh, en, ja, etc. | Output language |
 | `--ref <files...>` | File paths | Reference images applied to every page for style / palette / scene guidance. See [Reference Images](#reference-images) above. |
+| `--batch-size <n>` | 1-8 | Temporary page generation batch size for this run. Default: `generation_batch_size` from EXTEND.md, otherwise 4. |

 ### Partial Workflow Options

@@ -237,6 +257,8 @@ Analyze → [Check Existing?] → [Confirm: Style + Reviews] → Storyboard →
 | Exists | Not supported | Prepend character descriptions to every prompt file |
 | Skipped | — | All descriptions inline in prompt |

+**Execution strategy**: Generate the character sheet first when needed. Then build the selected page task list from saved prompt files and dispatch pages in batches per the `## Batch Generation Policy`: backend native batch first, runtime parallel tool calls second, sequential only as fallback. `--regenerate N` and `--images-only` apply the same batching rules to the selected existing prompts.
+
 **Backup rule**: existing `prompts/…md` and `…png` files → rename with `-backup-YYYYMMDD-HHMMSS` suffix before regenerating. Aspect ratio from storyboard (default `3:4`; preset may override).

 **`--ref` failure recovery**: compress sheet → retry → still fails → drop `--ref` and embed character descriptions in the prompt text.
@@ -257,7 +279,7 @@ If EXTEND.md is not found, first-time setup is **blocking** — complete it befo
 | Found | Read, parse, display summary → continue |
 | Not found | ⛔ Run first-time setup ([references/config/first-time-setup.md](references/config/first-time-setup.md)) → save EXTEND.md → continue |

-**EXTEND.md supports**: watermark, preferred art/tone/layout, custom style definitions, character presets, language preference. Schema: [references/config/preferences-schema.md](references/config/preferences-schema.md).
+**EXTEND.md supports**: watermark, preferred art/tone/layout, custom style definitions, character presets, language preference, preferred image backend, generation batch size. Schema: [references/config/preferences-schema.md](references/config/preferences-schema.md).

 ## References

@@ -293,6 +315,12 @@ If EXTEND.md is not found, first-time setup is **blocking** — complete it befo

 **IMPORTANT**: When updating pages, ALWAYS update the prompt file (`prompts/NN-{cover|page}-[slug].md`) FIRST before regenerating. This ensures changes are documented and reproducible.

+Text correction policy:
+
+- If dialogue, sound effects, panel labels, or any other rendered text is misspelled, garbled, hard to read, or visually weak, do not patch the bitmap with code.
+- For text-correction regenerations, write a new prompt file and a new output path so the flawed candidate is preserved for comparison.
+- Post-processing is limited to crop, resize, compression, or format conversion that does not alter text or the main composition.
+
 ## Notes

 - Image generation: 10-30 seconds per page
@@ -316,4 +344,5 @@ EXTEND.md lives at `.baoyu-skills/baoyu-comic/EXTEND.md` (project) or `~/.baoyu-
  - `preferred_image_backend: codex-imagegen` — pin to Codex's built-in.
  - `preferred_image_backend: baoyu-imagine` — pin to the baoyu-imagine skill.
  - `preferred_image_backend: ask` — confirm backend every run.
+  - `generation_batch_size: 4` — default number of page images to render concurrently when the backend/runtime supports batch or parallel generation.
  - `watermark.enabled: true`, `preferred_art`, `preferred_tone`, `preferred_layout`, `language` — shift the auto-selection defaults and cosmetic choices.
@@ -143,12 +143,15 @@ preferred_layout: null
 preferred_aspect: null
 language: [selected or null]
 preferred_image_backend: auto
+generation_batch_size: 4
 character_presets: []
 ---
 ```

 `preferred_image_backend: auto` is the baked-in default — first-time setup does not ask about it. The `## Image Generation Tools` rule in SKILL.md then picks the runtime-native tool (Codex `imagegen`, Hermes `image_generate`, etc.) when available, and falls back to installed backends.

+`generation_batch_size: 4` is the baked-in default for page batch rendering. The current user request may override it for one run.
+
 ## Modifying Preferences Later

 See the `## Changing Preferences` section in `SKILL.md` for the canonical list of common edits (pin backend, change defaults, retrigger setup). Full schema: `config/preferences-schema.md`.
@@ -25,6 +25,8 @@ language: null            # zh|en|ja|ko|auto

 preferred_image_backend: auto  # auto|ask|<backend-id>

+generation_batch_size: 4       # 1-8, used when backend/runtime supports batch or parallel page generation
+
 character_presets:
  - name: my-characters
    roles:
@@ -49,6 +51,7 @@ character_presets:
 | `preferred_aspect` | string | null | Aspect ratio (3:4, 4:3, 16:9) |
 | `language` | string | null | Output language (null = auto-detect) |
 | `preferred_image_backend` | string | `auto` | Image backend selection. `auto` = prefer runtime-native tool, fall back to the only installed backend, ask if multiple non-native are present. `ask` = always confirm on every run. `<backend-id>` (e.g., `codex-imagegen`, `baoyu-imagine`, `image_generate`) = pin this backend when available; fall back to `auto` when it isn't. Absent = `auto`. Resolution logic is documented in `SKILL.md`'s `## Image Generation Tools` section. |
+| `generation_batch_size` | int | 4 | Number of page images to dispatch per batch when the backend has native batch support or the runtime can issue parallel generation calls. Clamp invalid values to 1-8. Current user request overrides this value. |
 | `character_presets` | array | [] | Preset character roles for styles like ohmsha |

 ## Art Style Options
@@ -127,6 +130,8 @@ language: zh

 preferred_image_backend: codex-imagegen

+generation_batch_size: 4
+
 character_presets:
  - name: tech-tutorial
    roles:
@@ -488,12 +488,19 @@ When character sheet was skipped or `--ref` failed:
 - No `--ref` parameter needed
 - Rely on detailed text descriptions for character consistency

-**For each page (cover + pages)**:
-1. Read prompt from `prompts/NN-{cover|page}-[slug].md`
-2. **Backup rule**: If image file exists, rename to `NN-{cover|page}-[slug]-backup-YYYYMMDD-HHMMSS.png`
-3. Generate image using Strategy A, B, or C
-4. Save to `NN-{cover|page}-[slug].png`
-5. Report progress after each generation: "Generated X/N: [page title]"
+**Page batch generation (cover + pages)**:
+1. Build a page task list from selected saved prompts:
+   - `prompt_file`: `prompts/NN-{cover|page}-[slug].md`
+   - `output_file`: `NN-{cover|page}-[slug].png`
+   - `aspect_ratio`: from storyboard (default `3:4`; preset may override)
+   - `refs`: character sheet and verified direct user refs when Strategy A is active
+2. **Backup rule**: Before dispatching a task, if its image file exists, rename it to `NN-{cover|page}-[slug]-backup-YYYYMMDD-HHMMSS.png`.
+3. Dispatch tasks in batches:
+   - Native batch backend: send all eligible page tasks, or chunks of `generation_batch_size` if the backend has a practical limit.
+   - Runtime parallel calls: issue up to `generation_batch_size` image calls concurrently, then continue with the next chunk.
+   - Sequential fallback: process one page at a time.
+4. After each completed task, report: "Generated X/N: [page title]".
+5. On failure, retry the failed task once from the same saved prompt file. Keep successful outputs and continue.

 **Session Management**:
 If image generation skill supports `--sessionId`:
@@ -36,6 +36,8 @@ When this skill needs to render an image, resolve the backend in this order:

 **⛔ 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.

+**⛔ Never repair rendered text by painting over a generated bitmap.** Do not use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other programmatic overlay to cover, rewrite, erase, stroke, or replace title/subtitle text inside an already generated cover image. If text is wrong or unclear, regenerate from a corrected prompt, switch to a lower-text or no-title variant, or ask the user which imperfect candidate to keep.
+
 Setting `preferred_image_backend: ask` forces the step-3 prompt every run regardless of available backends. Users change the pinned backend via the `## Changing Preferences` section below.

 **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.
@@ -241,6 +243,12 @@ Files:
 | **Regenerate** | Backup → Update prompt file FIRST → Regenerate |
 | **Change dimension** | Backup → Confirm new value → Update prompt → Regenerate |

+Text correction policy:
+
+- If the title/subtitle is misspelled, garbled, hard to read, or visually weak, do not patch the bitmap with code.
+- For text-correction regenerations, write a new prompt file and a new output path so the flawed candidate is preserved for comparison.
+- Post-processing is limited to crop, resize, compression, or format conversion that does not alter text or the main composition.
+
 ## Composition Principles

 - **Whitespace**: 40-60% breathing room
@@ -1,7 +1,7 @@
 ---
 name: baoyu-image-cards
 description: Generates infographic image card series with 12 visual styles, 8 layouts, and 3 color palettes. Breaks content into 1-10 cartoon-style image cards optimized for social media engagement. Use when user mentions "小红书图片", "小红书种草", "小绿书", "微信图文", "微信贴图", "image cards", "图片卡片", or wants social media infographic series.
-version: 1.56.2
+version: 1.57.0
 metadata:
  openclaw:
    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-image-cards
@@ -36,12 +36,31 @@ When this skill needs to render an image, resolve the backend in this order:

 **⛔ 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.

+**⛔ Never repair rendered text by painting over a generated bitmap.** Do not use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other programmatic overlay to cover, rewrite, erase, stroke, or replace titles, body copy, tags, or any other text inside an already generated image card. If text is wrong or unclear, regenerate from a corrected prompt, switch to a layout with less on-card text, or ask the user which imperfect candidate to keep.
+
 Setting `preferred_image_backend: ask` forces the step-3 prompt every run regardless of available backends. Users change the pinned backend via the `## Changing Preferences` section below.

 **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 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.

+## Batch Generation Policy
+
+After every prompt file for the current generation group has been saved and verified, generate images in batches by default.
+
+Priority order:
+
+1. Use the chosen backend's native batch / multi-task interface if it exists. Each task must keep its own prompt file, output path, aspect ratio, session ID, and direct reference images.
+2. If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` images at a time. Default: `4`. An explicit user request in the current message, such as `--batch-size 4` or "并行4张一起生成", overrides EXTEND.md.
+3. If neither native batch nor parallel tool calls are available, generate sequentially.
+
+Rules:
+
+- Honor the image-1 anchor chain: generate image 1 first, then batch images 2+ using image 1 as the reference.
+- Never start a batch until every selected prompt file for that batch exists on disk.
+- Retry failed items once without regenerating successful items.
+- Do not use subagents merely to parallelize image rendering. Use subagents only for separate prompt iteration or creative exploration.
+
 ## Confirmation Policy

 Default behavior: **confirm before generation**.
@@ -64,6 +83,7 @@ Respond in the user's language across questions, progress, errors, and completio
 | `--palette <name>` | Color override: macaron / warm / neon |
 | `--preset <name>` | Style + layout + optional palette shorthand (see Presets below; per-preset prompt fragments in `references/style-presets.md`) |
 | `--ref <files...>` | Reference images applied to image 1 as the series anchor |
+| `--batch-size <n>` | Temporary generation batch size for this run. Default: `generation_batch_size` from EXTEND.md, otherwise 4. Clamp to 1-8. |
 | `--yes` | Non-interactive: skip all confirmations, use EXTEND.md or built-in defaults, auto-confirm recommended plan (Path A) |

 ## Dimensions
@@ -299,7 +319,7 @@ Check these paths in order; first hit wins:
 - **Not found + interactive** → run first-time setup (see `references/config/first-time-setup.md`) and save before anything else. Do NOT analyze content or ask style questions until preferences exist — this keeps first-run behavior predictable.
 - **Not found + `--yes`** → skip setup, use built-in defaults (no watermark, style/layout auto-selected, language from content). Do not prompt, do not create EXTEND.md.

-**EXTEND.md keys**: watermark, preferred style/layout, custom style definitions, language preference. Schema: `references/config/preferences-schema.md`.
+**EXTEND.md keys**: watermark, preferred style/layout, custom style definitions, language preference, preferred image backend, generation batch size. Schema: `references/config/preferences-schema.md`.

 ### Step 1: Analyze Content → `analysis.md`

@@ -348,14 +368,13 @@ With confirmed outline + style + layout + palette:

 **Visual consistency — image-1 anchor chain**: character / mascot / color rendering drifts between calls unless you anchor them. Generate image 1 (cover) first WITHOUT `--ref`, then pass image 1 as `--ref` to every subsequent image. This is the single most important consistency trick for this skill — don't skip it even if the backend also supports a session ID.

-For each image (cover, content, ending):
+Generation flow:

-1. Write the full prompt to `prompts/NN-{type}-{slug}.md` in the user's preferred language (backup rule applies).
-2. Generate:
-   - **Image 1**: no `--ref` (establishes the anchor).
-   - **Images 2+**: add `--ref <path-to-image-01.png>`.
-   - Backup rule applies to the PNG files.
-3. Report progress after each image.
+1. Write the full prompt for every image to `prompts/NN-{type}-{slug}.md` in the user's preferred language (backup rule applies), then verify all selected prompt files exist.
+2. Generate **image 1** first without `--ref`; backup rule applies to the PNG file. This establishes the anchor.
+3. Build a task list for **images 2+** using image 1 as `--ref <path-to-image-01.png>`.
+4. Dispatch images 2+ in batches per the `## Batch Generation Policy`: backend native batch first, runtime parallel tool calls second, sequential only as fallback.
+5. Report progress after each completed image. On failure, retry only the failed item once from the same saved prompt file.

 **Watermark** (if enabled in EXTEND.md): append to the generation prompt:

@@ -414,6 +433,12 @@ For the style × layout compatibility matrix, see the **Style × Layout Matrix**

 Always update the prompt file before regenerating — it's the source of truth and makes changes reproducible.

+Text correction policy:
+
+- If a card's title, body copy, tags, or any other rendered text is misspelled, garbled, hard to read, or visually weak, do not patch the bitmap with code.
+- For text-correction regenerations, write a new prompt file and a new output path so the flawed candidate is preserved for comparison.
+- Post-processing is limited to crop, resize, compression, or format conversion that does not alter text or the main composition.
+
 ## References

 | File | Content |
@@ -450,5 +475,6 @@ EXTEND.md lives at the first matching path listed in Step 0. Three ways to chang
  - `preferred_image_backend: codex-imagegen` — pin to Codex's built-in.
  - `preferred_image_backend: baoyu-imagine` — pin to the baoyu-imagine skill.
  - `preferred_image_backend: ask` — confirm backend every run.
+  - `generation_batch_size: 4` — default number of images to render concurrently when the backend/runtime supports batch or parallel generation.
  - `preferred_style: notion`, `preferred_layout: dense`, `preferred_palette: macaron`, `language: zh`.
  - `watermark.enabled: true` + `watermark.content: "@handle"` — add a watermark.
@@ -111,12 +111,15 @@ preferred_style:
 preferred_layout: null
 language: null
 preferred_image_backend: auto
+generation_batch_size: 4
 custom_styles: []
 ---
 ```

 `preferred_image_backend: auto` is the baked-in default — first-time setup does not ask about it. The `## Image Generation Tools` rule in SKILL.md then picks the runtime-native tool (Codex `imagegen`, Hermes `image_generate`, etc.) when available, and falls back to installed backends.

+`generation_batch_size: 4` is the baked-in default for batch rendering. The current user request may override it for one run.
+
 ## Modifying Preferences Later

 See the `## Changing Preferences` section in `SKILL.md` for the canonical list of common edits (pin backend, change defaults, retrigger setup). Full schema: `preferences-schema.md`.
@@ -26,6 +26,8 @@ language: null            # zh|en|ja|ko|auto

 preferred_image_backend: auto  # auto|ask|<backend-id>

+generation_batch_size: 4       # 1-8, used when backend/runtime supports batch or parallel generation
+
 custom_styles:
  - name: my-style
    description: "Style description"
@@ -52,6 +54,7 @@ custom_styles:
 | `preferred_layout` | string | null | Layout preference or null |
 | `language` | string | null | Output language (null = auto-detect) |
 | `preferred_image_backend` | string | `auto` | Image backend selection. `auto` = prefer runtime-native tool, fall back to the only installed backend, ask if multiple non-native are present. `ask` = always confirm on every run. `<backend-id>` (e.g., `codex-imagegen`, `baoyu-imagine`, `image_generate`) = pin this backend when available; fall back to `auto` when it isn't. Absent = `auto`. Resolution logic is documented in `SKILL.md`'s `## Image Generation Tools` section. |
+| `generation_batch_size` | int | 4 | Number of images to dispatch per batch when the backend has native batch support or the runtime can issue parallel generation calls. Clamp invalid values to 1-8. Current user request overrides this value. |
 | `custom_styles` | array | [] | User-defined styles |

 ## Position Options
@@ -109,6 +112,8 @@ language: zh

 preferred_image_backend: codex-imagegen

+generation_batch_size: 4
+
 custom_styles:
  - name: corporate
    description: "Professional B2B style"
@@ -36,6 +36,8 @@ When this skill needs to render an image, resolve the backend in this order:

 **⛔ 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.

+**⛔ Never repair rendered text by painting over a generated bitmap.** Do not use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other programmatic overlay to cover, rewrite, erase, stroke, or replace labels, headings, callouts, data values, or any other text inside an already generated infographic. If text is wrong or unclear, regenerate from a corrected prompt, switch to a layout with less on-image text, or ask the user which imperfect candidate to keep.
+
 Setting `preferred_image_backend: ask` forces the step-3 prompt every run regardless of available backends. Users change the pinned backend via the `## Changing Preferences` section below.

 **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.
@@ -297,6 +299,12 @@ Combine:
 4. Call the chosen backend with the prompt file and output path
 5. On failure, auto-retry once

+Text correction policy:
+
+- If labels, headings, callouts, data values, or any other rendered text is misspelled, garbled, hard to read, or visually weak, do not patch the bitmap with code.
+- For text-correction regenerations, write a new prompt file and a new output path so the flawed candidate is preserved for comparison.
+- Post-processing is limited to crop, resize, compression, or format conversion that does not alter text or the main composition.
+
 ### Step 7: Output Summary

 Report: topic, layout, style, aspect, language, image backend, output path, files created.
@@ -245,7 +245,7 @@ Files created:
 |-------|-----|
 | Missing API credentials | Follow guided setup in Step 2 |
 | Access token error | Verify credentials valid and not expired |
-| Not logged in (browser) | First run opens browser — scan QR to log in |
+| Not logged in (browser) | First run opens browser — scan QR to log in. Set `TELEGRAM_BOT_TOKEN` + `TELEGRAM_CHAT_ID` to receive the QR image via Telegram |
 | Chrome not found | Set `WECHAT_BROWSER_CHROME_PATH` |
 | Title/summary missing | Use auto-generation or provide manually |
 | No cover image | Add frontmatter cover or place `imgs/cover.png` in article directory |
@@ -0,0 +1,20 @@
+import assert from "node:assert/strict";
+import fs from "node:fs";
+import path from "node:path";
+import test from "node:test";
+import { fileURLToPath } from "node:url";
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+const clipboardScript = fs.readFileSync(path.join(__dirname, "copy-to-clipboard.ts"), "utf8");
+
+test("macOS image clipboard copy avoids Swift AppKit JIT", () => {
+  assert.match(clipboardScript, /copyImageMacWithOsascript/);
+  assert.doesNotMatch(clipboardScript, /await runCommand\('swift', \[swiftPath, 'image', imagePath\]\)/);
+});
+
+test("macOS image clipboard copy converts WebP to PNG before AppleScript", () => {
+  assert.match(clipboardScript, /convertWebpMacToPng/);
+  assert.match(clipboardScript, /path\.extname\(imagePath\)\.toLowerCase\(\) === '\.webp'/);
+  assert.match(clipboardScript, /await copyImageMacWithOsascript\(pngPath\)/);
+});
@@ -1,9 +1,12 @@
 import { spawn } from 'node:child_process';
 import fs from 'node:fs';
-import { mkdtemp, rm, writeFile } from 'node:fs/promises';
+import { mkdtemp, readFile, rm, writeFile } from 'node:fs/promises';
 import os from 'node:os';
 import path from 'node:path';
 import process from 'node:process';
+import { fileURLToPath } from 'node:url';
+import decodeWebp, { init as initWebpDecode } from '@jsquash/webp/decode.js';
+import { Jimp, JimpMime } from 'jimp';

 const SUPPORTED_IMAGE_EXTS = new Set(['.jpg', '.jpeg', '.png', '.gif', '.webp']);

@@ -186,12 +189,73 @@ default:
 `;
 }

-async function copyImageMac(imagePath: string): Promise<void> {
-  await withTempDir('copy-to-clipboard-', async (tempDir) => {
-    const swiftPath = path.join(tempDir, 'clipboard.swift');
-    await writeFile(swiftPath, getMacSwiftClipboardSource(), 'utf8');
-    await runCommand('swift', [swiftPath, 'image', imagePath]);
+function escapeAppleScriptString(value: string): string {
+  return value.replace(/\\/g, '\\\\').replace(/"/g, '\\"');
+}
+
+function getAppleScriptImageType(imagePath: string): string {
+  const ext = path.extname(imagePath).toLowerCase();
+  switch (ext) {
+    case '.png':
+      return '«class PNGf»';
+    case '.jpg':
+    case '.jpeg':
+      return 'JPEG picture';
+    case '.gif':
+      return 'GIF picture';
+    default:
+      throw new Error(`macOS clipboard image copy supports PNG, JPEG, and GIF via AppleScript; convert ${ext || 'this file'} to PNG first.`);
+  }
+}
+
+let webpDecoderReady: Promise<void> | undefined;
+
+async function ensureWebpDecoder(): Promise<void> {
+  if (!webpDecoderReady) {
+    webpDecoderReady = (async () => {
+      const __filename = fileURLToPath(import.meta.url);
+      const __dirname = path.dirname(__filename);
+      const wasmPath = path.resolve(__dirname, 'node_modules/@jsquash/webp/codec/dec/webp_dec.wasm');
+      const wasmModule = await WebAssembly.compile(await readFile(wasmPath));
+      await initWebpDecode(wasmModule, {});
+    })();
+  }
+
+  await webpDecoderReady;
+}
+
+async function convertWebpMacToPng(webpPath: string, tempDir: string): Promise<string> {
+  await ensureWebpDecoder();
+  const decoded = await decodeWebp(await readFile(webpPath));
+  const image = new Jimp({
+    data: Buffer.from(decoded.data.buffer, decoded.data.byteOffset, decoded.data.byteLength),
+    width: decoded.width,
+    height: decoded.height,
  });
+  const pngPath = path.join(tempDir, `${path.basename(webpPath, path.extname(webpPath))}.png`);
+  await writeFile(pngPath, await image.getBuffer(JimpMime.png));
+  return pngPath;
+}
+
+async function copyImageMacWithOsascript(imagePath: string): Promise<void> {
+  const imageType = getAppleScriptImageType(imagePath);
+  const escapedPath = escapeAppleScriptString(imagePath);
+  await runCommand('osascript', [
+    '-e',
+    `set the clipboard to (read (POSIX file "${escapedPath}") as ${imageType})`,
+  ]);
+}
+
+async function copyImageMac(imagePath: string): Promise<void> {
+  if (path.extname(imagePath).toLowerCase() === '.webp') {
+    await withTempDir('copy-to-clipboard-', async (tempDir) => {
+      const pngPath = await convertWebpMacToPng(imagePath, tempDir);
+      await copyImageMacWithOsascript(pngPath);
+    });
+    return;
+  }
+
+  await copyImageMacWithOsascript(imagePath);
 }

 async function copyHtmlMac(htmlFilePath: string): Promise<void> {
@@ -377,4 +441,3 @@ await main().catch((err) => {
  console.error(`Error: ${message}`);
  process.exit(1);
 });
-
@@ -0,0 +1,58 @@
+import assert from "node:assert/strict";
+import fs from "node:fs";
+import path from "node:path";
+import test from "node:test";
+import { fileURLToPath } from "node:url";
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+const articleScript = fs.readFileSync(path.join(__dirname, "wechat-article.ts"), "utf8");
+
+test("browser article paste uses CDP-targeted paste instead of global macOS keystrokes", () => {
+  assert.equal(
+    articleScript.includes('tell application "System Events" to keystroke "v" using command down'),
+    false,
+  );
+});
+
+test("browser article publishing verifies the title before saving drafts", () => {
+  assert.match(articleScript, /verifyTitleUnchangedBeforeSave/);
+  assert.match(articleScript, /Title was modified during paste/);
+});
+
+test("browser article body insertion does not paste HTML through the active form field", () => {
+  assert.match(articleScript, /insertHtmlIntoEditorFromFile/);
+  assert.doesNotMatch(articleScript, /await copyHtmlFromBrowser\(cdp, effectiveHtmlFile, contentImages\)/);
+});
+
+test("browser article body operations target the body ProseMirror, not the title ProseMirror", () => {
+  assert.match(articleScript, /BODY_EDITOR_SELECTOR = '\.rich_media_content \.ProseMirror'/);
+  assert.doesNotMatch(articleScript, /clickElement\(session, '\\.ProseMirror'\)/);
+});
+
+test("browser article reuses the selected account Chrome profile before launching", () => {
+  assert.match(articleScript, /await findExistingChromeDebugPort\(profileDir\)/);
+});
+
+test("browser article inserts inline images through WeChat local upload instead of clipboard paste", () => {
+  assert.match(articleScript, /uploadImageThroughFileInput/);
+  assert.match(articleScript, /DOM\.setFileInputFiles/);
+  assert.doesNotMatch(articleScript, /await copyImageToClipboard\(img\.localPath\)/);
+});
+
+test("browser article uploads original images before fallback processing", () => {
+  const rawUploadIndex = articleScript.indexOf("await uploadImagePathThroughFileInput(session, absolutePath, beforeCount)");
+  const fallbackIndex = articleScript.indexOf("const fallback = await prepareFallbackWechatBodyImageUpload(absolutePath)");
+
+  assert.notEqual(rawUploadIndex, -1);
+  assert.notEqual(fallbackIndex, -1);
+  assert.ok(rawUploadIndex < fallbackIndex);
+  assert.match(articleScript, /prepareWechatBodyImageUpload/);
+  assert.match(articleScript, /Raw image upload failed, retrying with fallback processing/);
+});
+
+test("browser article waits for a saved draft appmsgid before reporting success", () => {
+  assert.match(articleScript, /waitForDraftSaved/);
+  assert.match(articleScript, /appmsgid/);
+  assert.doesNotMatch(articleScript, /Waiting for save confirmation/);
+});
@@ -1,12 +1,15 @@
 import fs from 'node:fs';
+import os from 'node:os';
 import path from 'node:path';
 import { spawnSync } from 'node:child_process';
 import process from 'node:process';
 import { fileURLToPath } from 'node:url';
 import { launchChrome, tryConnectExisting, findExistingChromeDebugPort, getPageSession, waitForNewTab, clickElement, typeText, evaluate, sleep, getAccountProfileDir, type ChromeSession, type CdpConnection } from './cdp.ts';
 import { loadWechatExtendConfig, resolveAccount } from './wechat-extend-config.ts';
+import { prepareWechatBodyImageUpload } from './wechat-image-processor.ts';

 const WECHAT_URL = 'https://mp.weixin.qq.com/';
+const BODY_EDITOR_SELECTOR = '.rich_media_content .ProseMirror';

 interface ImageInfo {
  placeholder: string;
@@ -31,7 +34,98 @@ interface ArticleOptions {
  cdpPort?: number;
 }

+async function sendQrToTelegram(session: ChromeSession): Promise<void> {
+  const botToken = process.env.TELEGRAM_BOT_TOKEN;
+  const chatId = process.env.TELEGRAM_CHAT_ID;
+  if (!botToken || !chatId) return;
+
+  // Wait for QR to render before extracting
+  await sleep(2000);
+
+  try {
+    // Try to extract QR image from DOM first (avoids full-page screenshot noise)
+    const domResult = await session.cdp.send<{ result: { value: string } }>('Runtime.evaluate', {
+      expression: `
+        (function() {
+          const selectors = [
+            '.login__type__container__scan img',
+            '.login_img img',
+            '#login_container img',
+            '.qrcode img',
+            'img[src*="qrcode"]',
+            'img[src*="login"]',
+          ];
+          for (const sel of selectors) {
+            const el = document.querySelector(sel);
+            if (el?.src && !el.src.startsWith('data:,')) return el.src.startsWith('data:') ? el.src : 'url:' + el.src;
+          }
+          const canvas = document.querySelector('canvas');
+          if (canvas) try { return canvas.toDataURL('image/png'); } catch {}
+          return '';
+        })()
+      `,
+      returnByValue: true,
+    }, { sessionId: session.sessionId });
+
+    const raw = (domResult.result.value as string) ?? '';
+    let imgBuffer: Buffer;
+
+    if (raw.startsWith('data:image')) {
+      imgBuffer = Buffer.from(raw.split(',')[1] ?? '', 'base64');
+    } else if (raw.startsWith('url:')) {
+      // Fetch inside Chrome to carry WeChat session cookies
+      const imgUrl = raw.slice(4);
+      const inBrowserFetch = await session.cdp.send<{ result: { value: string } }>('Runtime.evaluate', {
+        expression: `
+          (async () => {
+            const resp = await fetch(${JSON.stringify(imgUrl)}, { credentials: 'include' });
+            const buf = await resp.arrayBuffer();
+            const bytes = new Uint8Array(buf);
+            let b = '';
+            for (let i = 0; i < bytes.length; i++) b += String.fromCharCode(bytes[i]);
+            return btoa(b);
+          })()
+        `,
+        returnByValue: true,
+        awaitPromise: true,
+      }, { sessionId: session.sessionId });
+      imgBuffer = Buffer.from((inBrowserFetch.result.value as string) ?? '', 'base64');
+    } else {
+      // Fallback: viewport screenshot (smaller than full-page; QR is usually in viewport)
+      const screenshotResp = await session.cdp.send<{ data: string }>(
+        'Page.captureScreenshot', { format: 'png', captureBeyondViewport: false }, { sessionId: session.sessionId }
+      );
+      imgBuffer = Buffer.from(screenshotResp.data ?? '', 'base64');
+    }
+
+    const boundary = `tgboundary${Date.now()}`;
+    const parts: Buffer[] = [
+      Buffer.from(`--${boundary}\r\nContent-Disposition: form-data; name="chat_id"\r\n\r\n${chatId}\r\n`),
+      Buffer.from(`--${boundary}\r\nContent-Disposition: form-data; name="caption"\r\n\r\nWeChat QR code — please scan to log in\r\n`),
+      Buffer.from(`--${boundary}\r\nContent-Disposition: form-data; name="photo"; filename="qr.png"\r\nContent-Type: image/png\r\n\r\n`),
+      imgBuffer,
+      Buffer.from(`\r\n--${boundary}--\r\n`),
+    ];
+    const tgResp = await fetch(`https://api.telegram.org/bot${botToken}/sendPhoto`, {
+      method: 'POST',
+      headers: { 'Content-Type': `multipart/form-data; boundary=${boundary}` },
+      body: Buffer.concat(parts),
+      signal: AbortSignal.timeout(10_000),
+    });
+    const tgJson = await tgResp.json() as { ok: boolean; description?: string };
+    if (tgJson.ok) {
+      console.log('[wechat] QR code sent to Telegram.');
+    } else {
+      console.error('[wechat] Telegram send failed:', tgJson.description);
+    }
+  } catch (err) {
+    console.error('[wechat] Failed to send QR to Telegram:', err);
+  }
+}
+
 async function waitForLogin(session: ChromeSession, timeoutMs = 120_000): Promise<boolean> {
+  // Notify via Telegram if configured (no-op when env vars absent)
+  await sendQrToTelegram(session);
  const start = Date.now();
  while (Date.now() - start < timeoutMs) {
    const url = await evaluate<string>(session, 'window.location.href');
@@ -105,27 +199,27 @@ async function pasteInEditor(session: ChromeSession): Promise<void> {
 }

 async function sendCopy(cdp?: CdpConnection, sessionId?: string): Promise<void> {
-  if (process.platform === 'darwin') {
+  if (cdp && sessionId) {
+    const modifiers = process.platform === 'darwin' ? 4 : 2;
+    await cdp.send('Input.dispatchKeyEvent', { type: 'keyDown', key: 'c', code: 'KeyC', modifiers, windowsVirtualKeyCode: 67 }, { sessionId });
+    await sleep(50);
+    await cdp.send('Input.dispatchKeyEvent', { type: 'keyUp', key: 'c', code: 'KeyC', modifiers, windowsVirtualKeyCode: 67 }, { sessionId });
+  } else if (process.platform === 'darwin') {
    spawnSync('osascript', ['-e', 'tell application "System Events" to keystroke "c" using command down']);
  } else if (process.platform === 'linux') {
    spawnSync('xdotool', ['key', 'ctrl+c']);
-  } else if (cdp && sessionId) {
-    await cdp.send('Input.dispatchKeyEvent', { type: 'keyDown', key: 'c', code: 'KeyC', modifiers: 2, windowsVirtualKeyCode: 67 }, { sessionId });
-    await sleep(50);
-    await cdp.send('Input.dispatchKeyEvent', { type: 'keyUp', key: 'c', code: 'KeyC', modifiers: 2, windowsVirtualKeyCode: 67 }, { sessionId });
  }
 }

 async function sendPaste(cdp?: CdpConnection, sessionId?: string): Promise<void> {
-  if (process.platform === 'darwin') {
-    spawnSync('osascript', ['-e', 'tell application "System Events" to keystroke "v" using command down']);
-  } else if (process.platform === 'linux') {
-    spawnSync('xdotool', ['key', 'ctrl+v']);
-  } else if (cdp && sessionId) {
-    await cdp.send('Input.dispatchKeyEvent', { type: 'keyDown', key: 'v', code: 'KeyV', modifiers: 2, windowsVirtualKeyCode: 86 }, { sessionId });
-    await sleep(50);
-    await cdp.send('Input.dispatchKeyEvent', { type: 'keyUp', key: 'v', code: 'KeyV', modifiers: 2, windowsVirtualKeyCode: 86 }, { sessionId });
+  if (!cdp || !sessionId) {
+    throw new Error('Targeted paste requires a Chrome DevTools session');
  }
+
+  const modifiers = process.platform === 'darwin' ? 4 : 2;
+  await cdp.send('Input.dispatchKeyEvent', { type: 'keyDown', key: 'v', code: 'KeyV', modifiers, windowsVirtualKeyCode: 86 }, { sessionId });
+  await sleep(50);
+  await cdp.send('Input.dispatchKeyEvent', { type: 'keyUp', key: 'v', code: 'KeyV', modifiers, windowsVirtualKeyCode: 86 }, { sessionId });
 }

 async function copyHtmlFromBrowser(cdp: CdpConnection, htmlFilePath: string, contentImages: ImageInfo[] = []): Promise<void> {
@@ -203,6 +297,82 @@ async function pasteFromClipboardInEditor(session: ChromeSession): Promise<void>
  await sleep(1000);
 }

+async function insertHtmlIntoEditorFromFile(
+  session: ChromeSession,
+  htmlFilePath: string,
+  contentImages: ImageInfo[] = [],
+): Promise<void> {
+  const absolutePath = path.isAbsolute(htmlFilePath) ? htmlFilePath : path.resolve(process.cwd(), htmlFilePath);
+  const html = fs.readFileSync(absolutePath, 'utf8');
+  const replacements = contentImages.map(img => ({ placeholder: img.placeholder, localPath: img.localPath }));
+
+  const result = await session.cdp.send<{ result: { value: string } }>('Runtime.evaluate', {
+    expression: `
+      (function() {
+        const editor = document.querySelector(${JSON.stringify(BODY_EDITOR_SELECTOR)});
+        if (!editor) return JSON.stringify({ ok: false, reason: 'editor-missing' });
+
+        const template = document.createElement('template');
+        template.innerHTML = ${JSON.stringify(html)};
+        const replacements = ${JSON.stringify(replacements)};
+
+        for (const img of Array.from(template.content.querySelectorAll('img'))) {
+          const src = img.getAttribute('src') || '';
+          const localPath = img.getAttribute('data-local-path') || '';
+          const replacement = replacements.find((item) => item.placeholder === src || item.localPath === localPath);
+          if (replacement) {
+            img.replaceWith(document.createTextNode(replacement.placeholder));
+          }
+        }
+
+        const output = template.content.querySelector('#output');
+        const wrapper = document.createElement('div');
+        if (output) {
+          wrapper.innerHTML = output.innerHTML;
+        } else {
+          wrapper.appendChild(template.content.cloneNode(true));
+        }
+
+        editor.focus();
+        const selection = window.getSelection();
+        const range = document.createRange();
+        range.selectNodeContents(editor);
+        range.deleteContents();
+        range.collapse(true);
+        selection.removeAllRanges();
+        selection.addRange(range);
+
+        const inserted = document.execCommand('insertHTML', false, wrapper.innerHTML);
+        editor.dispatchEvent(new InputEvent('input', {
+          bubbles: true,
+          inputType: 'insertHTML',
+          data: wrapper.innerText || ''
+        }));
+
+        return JSON.stringify({
+          ok: inserted || (editor.innerText || '').trim().length > 0,
+          textLength: (editor.innerText || '').trim().length
+        });
+      })()
+    `,
+    returnByValue: true,
+  }, { sessionId: session.sessionId });
+
+  const parsed = JSON.parse(result.result.value || '{}') as { ok?: boolean; reason?: string; textLength?: number };
+  if (!parsed.ok) {
+    throw new Error(`Failed to insert HTML into body editor${parsed.reason ? `: ${parsed.reason}` : ''}`);
+  }
+}
+
+async function verifyTitleUnchangedBeforeSave(session: ChromeSession, expectedTitle: string): Promise<void> {
+  if (!expectedTitle) return;
+
+  const actualTitle = await evaluate<string>(session, `document.querySelector('#title')?.value || ''`);
+  if (actualTitle !== expectedTitle) {
+    throw new Error(`Title was modified during paste. Expected: "${expectedTitle}", got: "${actualTitle}"`);
+  }
+}
+
 async function prepareEditorPasteTarget(
  session: ChromeSession,
  context: string,
@@ -212,19 +382,24 @@ async function prepareEditorPasteTarget(
  await sleep(100);

  if (options.clickEditor) {
-    await clickElement(session, '.ProseMirror');
+    await clickElement(session, BODY_EDITOR_SELECTOR);
    await sleep(200);
  }

  const ready = await evaluate<boolean>(session, `
    (function() {
-      const editor = document.querySelector('.ProseMirror');
+      const editor = document.querySelector(${JSON.stringify(BODY_EDITOR_SELECTOR)});
      if (!editor) return false;

      const active = document.activeElement;
      const selection = window.getSelection();
      const selectionInEditor = !!selection && selection.rangeCount > 0 && !!selection.anchorNode && editor.contains(selection.anchorNode);
      const focusInEditor = !!active && (active === editor || editor.contains(active));
+      const activeIsUnsafeInput = !!active && (
+        active.matches?.('#title, #author, #js_description') ||
+        ((active.tagName === 'INPUT' || active.tagName === 'TEXTAREA') && !editor.contains(active))
+      );
+      if (activeIsUnsafeInput) return false;
      if (selectionInEditor || focusInEditor) return true;

      if (${JSON.stringify(Boolean(options.clickEditor))}) {
@@ -347,7 +522,7 @@ async function selectAndReplacePlaceholder(session: ChromeSession, placeholder:
  const result = await session.cdp.send<{ result: { value: boolean } }>('Runtime.evaluate', {
    expression: `
      (function() {
-        const editor = document.querySelector('.ProseMirror');
+        const editor = document.querySelector(${JSON.stringify(BODY_EDITOR_SELECTOR)});
        if (!editor) return false;

        const placeholder = ${JSON.stringify(placeholder)};
@@ -365,6 +540,7 @@ async function selectAndReplacePlaceholder(session: ChromeSession, placeholder:
            // Exact match if next char is not a digit
            if (charAfter === undefined || !/\\d/.test(charAfter)) {
              node.parentElement.scrollIntoView({ behavior: 'smooth', block: 'center' });
+              editor.focus();

              const range = document.createRange();
              range.setStart(node, idx);
@@ -395,7 +571,7 @@ async function pressDeleteKey(session: ChromeSession): Promise<void> {
 async function removeExtraEmptyLineAfterImage(session: ChromeSession): Promise<boolean> {
  const removed = await evaluate<boolean>(session, `
    (function() {
-      const editor = document.querySelector('.ProseMirror');
+      const editor = document.querySelector(${JSON.stringify(BODY_EDITOR_SELECTOR)});
      if (!editor) return false;

      const sel = window.getSelection();
@@ -457,6 +633,188 @@ async function removeExtraEmptyLineAfterImage(session: ChromeSession): Promise<b
  return removed;
 }

+async function getBodyImageCount(session: ChromeSession): Promise<number> {
+  return await evaluate<number>(session, `
+    (function() {
+      const editor = document.querySelector(${JSON.stringify(BODY_EDITOR_SELECTOR)});
+      if (!editor) return 0;
+      return Array.from(editor.querySelectorAll('img')).filter((img) => !img.classList.contains('ProseMirror-separator')).length;
+    })()
+  `);
+}
+
+async function waitForBodyImageCount(session: ChromeSession, minimumCount: number, timeoutMs = 45_000): Promise<boolean> {
+  const start = Date.now();
+  while (Date.now() - start < timeoutMs) {
+    const count = await getBodyImageCount(session);
+    if (count >= minimumCount) return true;
+    await sleep(500);
+  }
+  return false;
+}
+
+function inferImageContentType(imagePath: string): string {
+  const ext = path.extname(imagePath).toLowerCase();
+  switch (ext) {
+    case '.jpg':
+    case '.jpeg':
+      return 'image/jpeg';
+    case '.png':
+      return 'image/png';
+    case '.gif':
+      return 'image/gif';
+    case '.webp':
+      return 'image/webp';
+    case '.bmp':
+      return 'image/bmp';
+    case '.svg':
+      return 'image/svg+xml';
+    default:
+      return 'application/octet-stream';
+  }
+}
+
+async function uploadImagePathThroughFileInput(
+  session: ChromeSession,
+  absolutePath: string,
+  beforeCount: number,
+): Promise<void> {
+  const documentNode = await session.cdp.send<{ root: { nodeId: number } }>('DOM.getDocument', {
+    depth: -1,
+    pierce: true,
+  }, { sessionId: session.sessionId });
+  const inputNode = await session.cdp.send<{ nodeId: number }>('DOM.querySelector', {
+    nodeId: documentNode.root.nodeId,
+    selector: 'input[type="file"][accept*="image"]',
+  }, { sessionId: session.sessionId });
+
+  if (!inputNode.nodeId) throw new Error('WeChat local image upload input not found');
+
+  await session.cdp.send('DOM.setFileInputFiles', {
+    nodeId: inputNode.nodeId,
+    files: [absolutePath],
+  }, { sessionId: session.sessionId });
+
+  const inserted = await waitForBodyImageCount(session, beforeCount + 1);
+  if (!inserted) {
+    const afterCount = await getBodyImageCount(session);
+    throw new Error(`Image upload did not insert into editor: ${path.basename(absolutePath)} (${beforeCount} -> ${afterCount})`);
+  }
+}
+
+interface FallbackUploadImage {
+  uploadPath: string;
+  wasProcessed: boolean;
+  processingNotes: string[];
+  cleanup: () => void;
+}
+
+async function prepareFallbackWechatBodyImageUpload(absolutePath: string): Promise<FallbackUploadImage> {
+  const buffer = fs.readFileSync(absolutePath);
+  const prepared = await prepareWechatBodyImageUpload({
+    buffer,
+    filename: path.basename(absolutePath),
+    contentType: inferImageContentType(absolutePath),
+    fileExt: path.extname(absolutePath).toLowerCase(),
+    fileSize: buffer.length,
+  });
+
+  if (!prepared.wasProcessed) {
+    return {
+      uploadPath: absolutePath,
+      wasProcessed: false,
+      processingNotes: [],
+      cleanup: () => {},
+    };
+  }
+
+  const tempDir = fs.mkdtempSync(path.join(os.tmpdir(), 'wechat-body-image-'));
+  const uploadPath = path.join(tempDir, prepared.filename);
+  fs.writeFileSync(uploadPath, prepared.buffer);
+
+  return {
+    uploadPath,
+    wasProcessed: true,
+    processingNotes: prepared.processingNotes,
+    cleanup: () => fs.rmSync(tempDir, { recursive: true, force: true }),
+  };
+}
+
+async function uploadImageThroughFileInput(session: ChromeSession, imagePath: string): Promise<void> {
+  const absolutePath = path.isAbsolute(imagePath) ? imagePath : path.resolve(process.cwd(), imagePath);
+  if (!fs.existsSync(absolutePath)) throw new Error(`Image file not found: ${absolutePath}`);
+
+  const beforeCount = await getBodyImageCount(session);
+  try {
+    await uploadImagePathThroughFileInput(session, absolutePath, beforeCount);
+    return;
+  } catch (err) {
+    const message = err instanceof Error ? err.message : String(err);
+    if (message.includes('local image upload input not found')) throw err;
+
+    const currentCount = await getBodyImageCount(session);
+    if (currentCount > beforeCount) return;
+
+    console.warn(`[wechat] Raw image upload failed, retrying with fallback processing: ${message}`);
+    const fallback = await prepareFallbackWechatBodyImageUpload(absolutePath);
+    const notes = fallback.processingNotes.length > 0 ? ` (${fallback.processingNotes.join('; ')})` : '';
+    console.log(`[wechat] Retrying image upload with ${fallback.wasProcessed ? 'processed' : 'original'} file: ${path.basename(fallback.uploadPath)}${notes}`);
+
+    try {
+      await uploadImagePathThroughFileInput(session, fallback.uploadPath, currentCount);
+    } finally {
+      fallback.cleanup();
+    }
+  }
+}
+
+interface DraftSaveStatus {
+  appmsgid: string;
+  isLoading: boolean;
+  submitText: string;
+  url: string;
+  messages: string[];
+}
+
+async function getDraftSaveStatus(session: ChromeSession): Promise<DraftSaveStatus> {
+  const raw = await evaluate<string>(session, `
+    (function() {
+      const submit = document.querySelector('#js_submit');
+      const button = submit?.querySelector('button');
+      const url = location.href;
+      const appmsgid = new URL(url).searchParams.get('appmsgid') || '';
+      const messages = Array.from(document.querySelectorAll('.weui-desktop-toast, .weui-desktop-toptips, .js_tips'))
+        .map((el) => (el.innerText || el.textContent || '').trim())
+        .filter(Boolean);
+      return JSON.stringify({
+        appmsgid,
+        isLoading: !!submit?.classList.contains('btn_loading') || !!button?.disabled,
+        submitText: (submit?.innerText || '').trim(),
+        url,
+        messages
+      });
+    })()
+  `);
+  return JSON.parse(raw || '{}') as DraftSaveStatus;
+}
+
+async function waitForDraftSaved(session: ChromeSession, timeoutMs = 60_000): Promise<string> {
+  const start = Date.now();
+  let lastStatus: DraftSaveStatus | null = null;
+
+  while (Date.now() - start < timeoutMs) {
+    lastStatus = await getDraftSaveStatus(session);
+    if (lastStatus.appmsgid && !lastStatus.isLoading) return lastStatus.appmsgid;
+
+    const relevantFailure = lastStatus.messages.find((message) => /保存.*失败|草稿.*失败|save.*fail/i.test(message));
+    if (relevantFailure) throw new Error(`Draft save failed: ${relevantFailure}`);
+
+    await sleep(1000);
+  }
+
+  throw new Error(`Draft save did not complete${lastStatus ? `: ${JSON.stringify(lastStatus)}` : ''}`);
+}
+
 export async function postArticle(options: ArticleOptions): Promise<void> {
  const { title, content, htmlFile, markdownFile, theme, color, citeStatus = true, author, summary, images = [], submit = false, profileDir, cdpPort } = options;
  let { contentImages = [] } = options;
@@ -500,7 +858,7 @@ export async function postArticle(options: ArticleOptions): Promise<void> {
  let chrome: ReturnType<typeof import('node:child_process').spawn> | null = null;

  // Try connecting to existing Chrome: explicit port > auto-detect > launch new
-  const portToTry = cdpPort ?? await findExistingChromeDebugPort();
+  const portToTry = cdpPort ?? await findExistingChromeDebugPort(profileDir);
  if (portToTry) {
    const existing = await tryConnectExisting(portToTry);
    if (existing) {
@@ -557,7 +915,8 @@ export async function postArticle(options: ArticleOptions): Promise<void> {

    const url = await evaluate<string>(session, 'window.location.href');
    if (!url.includes('/cgi-bin/')) {
-      console.log('[wechat] Not logged in. Please scan QR code...');
+      const hasTelegram = !!(process.env.TELEGRAM_BOT_TOKEN && process.env.TELEGRAM_CHAT_ID);
+      console.log(`[wechat] Not logged in. Please scan QR code...${hasTelegram ? ' (sending to Telegram)' : ''}`);
      const loggedIn = await waitForLogin(session);
      if (!loggedIn) throw new Error('Login timeout');
    }
@@ -588,7 +947,7 @@ export async function postArticle(options: ArticleOptions): Promise<void> {
    console.log('[wechat] Waiting for editor to load...');
    const editorLoaded = await waitForElement(session, '#title', 30_000);
    if (!editorLoaded) throw new Error('Editor did not load (#title not found)');
-    await waitForElement(session, '.ProseMirror', 15_000);
+    await waitForElement(session, BODY_EDITOR_SELECTOR, 15_000);
    await sleep(2000);

    if (effectiveTitle) {
@@ -613,25 +972,23 @@ export async function postArticle(options: ArticleOptions): Promise<void> {
    }

    console.log('[wechat] Clicking on editor...');
-    await clickElement(session, '.ProseMirror');
+    await clickElement(session, BODY_EDITOR_SELECTOR);
    await sleep(1000);

    console.log('[wechat] Ensuring editor focus...');
-    await clickElement(session, '.ProseMirror');
+    await clickElement(session, BODY_EDITOR_SELECTOR);
    await sleep(500);

    if (effectiveHtmlFile && fs.existsSync(effectiveHtmlFile)) {
-      console.log(`[wechat] Copying HTML content from: ${effectiveHtmlFile}`);
-      await copyHtmlFromBrowser(cdp, effectiveHtmlFile, contentImages);
-      await sleep(500);
+      console.log(`[wechat] Inserting HTML content from: ${effectiveHtmlFile}`);
      await prepareEditorPasteTarget(session, 'body content paste', { clickEditor: true });
-      console.log('[wechat] Pasting into editor...');
-      await pasteFromClipboardInEditor(session);
+      await insertHtmlIntoEditorFromFile(session, effectiveHtmlFile, contentImages);
      await sleep(3000);
+      await verifyTitleUnchangedBeforeSave(session, effectiveTitle);

      const editorHasContent = await evaluate<boolean>(session, `
        (function() {
-          const editor = document.querySelector('.ProseMirror');
+          const editor = document.querySelector(${JSON.stringify(BODY_EDITOR_SELECTOR)});
          if (!editor) return false;
          const text = editor.innerText?.trim() || '';
          return text.length > 0;
@@ -657,18 +1014,15 @@ export async function postArticle(options: ArticleOptions): Promise<void> {

          await sleep(500);

-          console.log(`[wechat] Copying image: ${path.basename(img.localPath)}`);
-          await copyImageToClipboard(img.localPath);
-          await sleep(300);
-
          console.log('[wechat] Deleting placeholder with Backspace...');
          await pressDeleteKey(session);
          await sleep(200);

-          console.log('[wechat] Pasting image...');
-          await prepareEditorPasteTarget(session, 'inline image paste');
-          await pasteFromClipboardInEditor(session);
-          await sleep(3000);
+          console.log(`[wechat] Uploading image: ${path.basename(img.localPath)}`);
+          await prepareEditorPasteTarget(session, 'inline image upload');
+          await uploadImageThroughFileInput(session, img.localPath);
+          await sleep(1000);
+          await verifyTitleUnchangedBeforeSave(session, effectiveTitle);
          await removeExtraEmptyLineAfterImage(session);
        }
        console.log('[wechat] All images inserted.');
@@ -676,12 +1030,10 @@ export async function postArticle(options: ArticleOptions): Promise<void> {
    } else if (content) {
      for (const img of images) {
        if (fs.existsSync(img)) {
-          console.log(`[wechat] Pasting image: ${img}`);
-          await copyImageToClipboard(img);
-          await sleep(500);
-          await prepareEditorPasteTarget(session, 'leading image paste');
-          await pasteInEditor(session);
-          await sleep(2000);
+          console.log(`[wechat] Uploading image: ${img}`);
+          await prepareEditorPasteTarget(session, 'leading image upload');
+          await uploadImageThroughFileInput(session, img);
+          await sleep(1000);
          await removeExtraEmptyLineAfterImage(session);
        }
      }
@@ -693,7 +1045,7 @@ export async function postArticle(options: ArticleOptions): Promise<void> {

      const editorHasContent = await evaluate<boolean>(session, `
        (function() {
-          const editor = document.querySelector('.ProseMirror');
+          const editor = document.querySelector(${JSON.stringify(BODY_EDITOR_SELECTOR)});
          if (!editor) return false;
          const text = editor.innerText?.trim() || '';
          return text.length > 0;
@@ -730,17 +1082,12 @@ export async function postArticle(options: ArticleOptions): Promise<void> {
      }
    }

+    await verifyTitleUnchangedBeforeSave(session, effectiveTitle);
+
    console.log('[wechat] Saving as draft...');
    await evaluate(session, `document.querySelector('#js_submit button').click()`);
-    await sleep(3000);
-
-    const saved = await evaluate<boolean>(session, `!!document.querySelector('.weui-desktop-toast')`);
-    if (saved) {
-      console.log('[wechat] Draft saved successfully!');
-    } else {
-      console.log('[wechat] Waiting for save confirmation...');
-      await sleep(5000);
-    }
+    const appmsgid = await waitForDraftSaved(session);
+    console.log(`[wechat] Draft saved successfully! appmsgid: ${appmsgid}`);

    console.log('[wechat] Done. Browser window left open.');
  } finally {
@@ -1,7 +1,7 @@
 ---
 name: baoyu-slide-deck
 description: Generates professional slide deck images from content. Creates outlines with style instructions, then generates individual slide images. Use when user asks to "create slides", "make a presentation", "generate deck", "slide deck", or "PPT".
-version: 1.56.2
+version: 1.57.0
 metadata:
  openclaw:
    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-slide-deck
@@ -40,12 +40,31 @@ When this skill needs to render an image, resolve the backend in this order:

 **⛔ 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.

+**⛔ Never repair rendered text by painting over a generated bitmap.** Do not use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other programmatic overlay to cover, rewrite, erase, stroke, or replace slide titles, bullets, or any other text inside an already generated slide image. If text is wrong or unclear, regenerate from a corrected prompt, simplify the slide's on-image text, or ask the user which imperfect candidate to keep.
+
 Setting `preferred_image_backend: ask` forces the step-3 prompt every run regardless of available backends. Users change the pinned backend via the `## Changing Preferences` section below.

 **Prompt file requirement (hard)**: write each image's full, final prompt to a standalone file under `prompts/` (naming: `NN-slide-[slug].md`) BEFORE invoking any backend. 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.

+## Batch Generation Policy
+
+After every prompt file for the current generation group has been saved and verified, generate slide images in batches by default.
+
+Priority order:
+
+1. Use the chosen backend's native batch / multi-task interface if it exists. Each task must keep its own prompt file, output path, aspect ratio, session ID, and direct reference images.
+2. If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` slide images at a time. Default: `4`. An explicit user request in the current message, such as `--batch-size 4` or "并行4张一起生成", overrides EXTEND.md.
+3. If neither native batch nor parallel tool calls are available, generate sequentially.
+
+Rules:
+
+- Never start the first batch until all selected slide prompt files exist on disk.
+- Retry failed items once without regenerating successful items.
+- Do not use subagents merely to parallelize image rendering. Use subagents only for separate prompt iteration or creative exploration.
+- Merge PPTX/PDF only after all selected slide images are generated.
+
 ## Confirmation Policy

 Default behavior: **confirm before generation**.
@@ -77,6 +96,7 @@ Respond in the user's language across questions, progress reports, error message
 | `--lang <code>` | Output language (en, zh, ja, ...) |
 | `--slides <N>` | Target slide count (8-25 recommended, max 30) |
 | `--ref <files...>` | Reference images applied per slide (style / palette / composition / subject) |
+| `--batch-size <n>` | Temporary slide image generation batch size for this run. Default: `generation_batch_size` from EXTEND.md, otherwise 4. Clamp to 1-8. |
 | `--outline-only` | Stop after outline |
 | `--prompts-only` | Stop after prompts (skip image generation) |
 | `--images-only` | Skip to Step 7; requires existing `prompts/` |
@@ -223,7 +243,7 @@ Copy this checklist and check off items as you complete them:
 | `${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-slide-deck/EXTEND.md` | XDG |
 | `$HOME/.baoyu-skills/baoyu-slide-deck/EXTEND.md` | User home |

-If found, read, parse, and print a summary (style / audience / language / review). If not, proceed with defaults — first-time setup is not blocking for this skill. Schema: `references/config/preferences-schema.md`.
+If found, read, parse, and print a summary (style / audience / language / review / generation batch size). If not, proceed with defaults — first-time setup is not blocking for this skill. Schema: `references/config/preferences-schema.md`.

 **1.2 Analyze content** — follow `references/analysis-framework.md`: classify content, detect language, note signals for style selection, estimate slide count from length (see the **Slide Count Heuristic** in Style System above), generate topic slug. Save source as `source.md` (honor backup rule if one exists).

@@ -279,7 +299,8 @@ Display the prompts index (`# | Filename | Slide Title`) and ask: proceed / edit
 1. Resolve the image backend via the Image Generation Tools rule at the top — ask once if multiple are installed.
 2. Confirm every `prompts/NN-slide-{slug}.md` exists (hard requirement; prompt files are the reproducibility record regardless of backend).
 3. Session ID: `slides-{topic-slug}-{timestamp}` — pass to the backend only if it supports sessions.
-4. For each slide: generate sequentially, reusing the session ID. Backup rule applies to PNG files. Report progress as `Generated X/N`. Auto-retry once on failure before reporting an error.
+4. Build a task list for selected slides with each slide's prompt file, output PNG path, aspect ratio, session ID, and verified direct references.
+5. Dispatch slide images in batches per the `## Batch Generation Policy`: backend native batch first, runtime parallel tool calls second, sequential only as fallback. Backup rule applies to PNG files before dispatch. Report progress as `Generated X/N`. Retry only failed items once before reporting an error.

 `--regenerate N` jumps to this step for the named slides only. `--images-only` starts here with existing prompts.

@@ -318,6 +339,12 @@ PDF: {topic-slug}.pdf

 Always update the prompt file before regenerating the image — this keeps the prompts directory as the source of truth and makes changes reproducible. Only `NN` changes on renumber; slugs stay stable so references remain valid.

+Text correction policy:
+
+- If a slide's title, bullets, or any other rendered text is misspelled, garbled, hard to read, or visually weak, do not patch the bitmap with code.
+- For text-correction regenerations, write a new prompt file and a new output path so the flawed candidate is preserved for comparison.
+- Post-processing is limited to crop, resize, compression, or format conversion that does not alter text or the main composition.
+
 See `references/modification-guide.md` for full details.

 ## References
@@ -352,4 +379,5 @@ EXTEND.md lives at the first matching path listed in Step 1.1. Two ways to chang
  - `preferred_image_backend: codex-imagegen` — pin to Codex's built-in.
  - `preferred_image_backend: baoyu-imagine` — pin to the baoyu-imagine skill.
  - `preferred_image_backend: ask` — confirm backend every run.
+  - `generation_batch_size: 4` — default number of slide images to render concurrently when the backend/runtime supports batch or parallel generation.
  - `preferred_style: blueprint`, `preferred_audience: experts`, `language: zh`.
@@ -13,6 +13,7 @@ audience: general             # beginners | intermediate | experts | executives
 language: auto                # auto | en | zh | ja | etc.
 review: true                  # true = review outline before generation
 preferred_image_backend: auto # auto | ask | <backend-id>
+generation_batch_size: 4      # 1-8, used when backend/runtime supports batch or parallel slide generation

 ## Custom Dimensions (only when style: custom)
 dimensions:
@@ -42,6 +43,7 @@ custom_styles:
 | `language` | string | `auto` | Output language (auto = detect from input) |
 | `review` | boolean | `true` | Show outline review before generation |
 | `preferred_image_backend` | string | `auto` | Image backend selection. `auto` = prefer runtime-native tool, fall back to the only installed backend, ask if multiple non-native are present. `ask` = always confirm on every run. `<backend-id>` (e.g., `codex-imagegen`, `baoyu-imagine`, `image_generate`) = pin this backend when available; fall back to `auto` when it isn't. Absent = `auto`. Resolution logic is documented in `SKILL.md`'s `## Image Generation Tools` section. |
+| `generation_batch_size` | int | 4 | Number of slide images to dispatch per batch when the backend has native batch support or the runtime can issue parallel generation calls. Clamp invalid values to 1-8. Current user request overrides this value. |

 ### Custom Dimensions

@@ -1,7 +1,7 @@
 ---
 name: baoyu-xhs-images
 description: "[Deprecated: use baoyu-image-cards] Generates Xiaohongshu (Little Red Book) image card series with 12 visual styles, 8 layouts, and 3 color palettes. Breaks content into 1-10 cartoon-style image cards optimized for XHS engagement. Use when user mentions \"小红书图片\", \"XHS images\", \"RedNote infographics\", \"小红书种草\", \"小绿书\", \"微信图文\", \"微信贴图\", or wants social media infographic series for Chinese platforms."
-version: 1.56.2
+version: 1.57.0
 metadata:
  openclaw:
    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-xhs-images
@@ -37,12 +37,31 @@ When this skill needs to render an image, resolve the backend in this order:

 **⛔ 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.

+**⛔ Never repair rendered text by painting over a generated bitmap.** Do not use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other programmatic overlay to cover, rewrite, erase, stroke, or replace titles, body copy, tags, or any other text inside an already generated image card. If text is wrong or unclear, regenerate from a corrected prompt, switch to a layout with less on-card text, or ask the user which imperfect candidate to keep.
+
 Setting `preferred_image_backend: ask` forces the step-3 prompt every run regardless of available backends. Users change the pinned backend via the `## Changing Preferences` section below.

 **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 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.

+## Batch Generation Policy
+
+After every prompt file for the current generation group has been saved and verified, generate images in batches by default.
+
+Priority order:
+
+1. Use the chosen backend's native batch / multi-task interface if it exists. Each task must keep its own prompt file, output path, aspect ratio, session ID, and direct reference images.
+2. If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` images at a time. Default: `4`. An explicit user request in the current message, such as `--batch-size 4` or "并行4张一起生成", overrides EXTEND.md.
+3. If neither native batch nor parallel tool calls are available, generate sequentially.
+
+Rules:
+
+- Honor the image-1 anchor chain: generate image 1 first, then batch images 2+ using image 1 as the reference.
+- Never start a batch until every selected prompt file for that batch exists on disk.
+- Retry failed items once without regenerating successful items.
+- Do not use subagents merely to parallelize image rendering. Use subagents only for separate prompt iteration or creative exploration.
+
 ## Confirmation Policy

 Default behavior: **confirm before generation**.
@@ -65,6 +84,7 @@ Respond in the user's language across questions, progress, errors, and completio
 | `--palette <name>` | Color override: macaron / warm / neon |
 | `--preset <name>` | Style + layout + optional palette shorthand (see Presets below; per-preset prompt fragments in `references/style-presets.md`) |
 | `--ref <files...>` | Reference images applied to image 1 as the series anchor |
+| `--batch-size <n>` | Temporary generation batch size for this run. Default: `generation_batch_size` from EXTEND.md, otherwise 4. Clamp to 1-8. |
 | `--yes` | Non-interactive: skip all confirmations, use EXTEND.md or built-in defaults, auto-confirm recommended plan (Path A) |

 ## Dimensions
@@ -300,7 +320,7 @@ Check these paths in order; first hit wins:
 - **Not found + interactive** → run first-time setup (see `references/config/first-time-setup.md`) and save before anything else. Do NOT analyze content or ask style questions until preferences exist — this keeps first-run behavior predictable.
 - **Not found + `--yes`** → skip setup, use built-in defaults (no watermark, style/layout auto-selected, language from content). Do not prompt, do not create EXTEND.md.

-**EXTEND.md keys**: watermark, preferred style/layout, custom style definitions, language preference. Schema: `references/config/preferences-schema.md`.
+**EXTEND.md keys**: watermark, preferred style/layout, custom style definitions, language preference, preferred image backend, generation batch size. Schema: `references/config/preferences-schema.md`.

 ### Step 1: Analyze Content → `analysis.md`

@@ -349,14 +369,13 @@ With confirmed outline + style + layout + palette:

 **Visual consistency — image-1 anchor chain**: character / mascot / color rendering drifts between calls unless you anchor them. Generate image 1 (cover) first WITHOUT `--ref`, then pass image 1 as `--ref` to every subsequent image. This is the single most important consistency trick for this skill — don't skip it even if the backend also supports a session ID.

-For each image (cover, content, ending):
+Generation flow:

-1. Write the full prompt to `prompts/NN-{type}-{slug}.md` in the user's preferred language (backup rule applies).
-2. Generate:
-   - **Image 1**: no `--ref` (establishes the anchor).
-   - **Images 2+**: add `--ref <path-to-image-01.png>`.
-   - Backup rule applies to the PNG files.
-3. Report progress after each image.
+1. Write the full prompt for every image to `prompts/NN-{type}-{slug}.md` in the user's preferred language (backup rule applies), then verify all selected prompt files exist.
+2. Generate **image 1** first without `--ref`; backup rule applies to the PNG file. This establishes the anchor.
+3. Build a task list for **images 2+** using image 1 as `--ref <path-to-image-01.png>`.
+4. Dispatch images 2+ in batches per the `## Batch Generation Policy`: backend native batch first, runtime parallel tool calls second, sequential only as fallback.
+5. Report progress after each completed image. On failure, retry only the failed item once from the same saved prompt file.

 **Watermark** (if enabled in EXTEND.md): append to the generation prompt:

@@ -415,6 +434,12 @@ For the style × layout compatibility matrix, see the **Style × Layout Matrix**

 Always update the prompt file before regenerating — it's the source of truth and makes changes reproducible.

+Text correction policy:
+
+- If a card's title, body copy, tags, or any other rendered text is misspelled, garbled, hard to read, or visually weak, do not patch the bitmap with code.
+- For text-correction regenerations, write a new prompt file and a new output path so the flawed candidate is preserved for comparison.
+- Post-processing is limited to crop, resize, compression, or format conversion that does not alter text or the main composition.
+
 ## References

 | File | Content |
@@ -451,5 +476,6 @@ EXTEND.md lives at the first matching path listed in Step 0. Three ways to chang
  - `preferred_image_backend: codex-imagegen` — pin to Codex's built-in.
  - `preferred_image_backend: baoyu-imagine` — pin to the baoyu-imagine skill.
  - `preferred_image_backend: ask` — confirm backend every run.
+  - `generation_batch_size: 4` — default number of images to render concurrently when the backend/runtime supports batch or parallel generation.
  - `preferred_style: notion`, `preferred_layout: dense`, `preferred_palette: macaron`, `language: zh`.
  - `watermark.enabled: true` + `watermark.content: "@handle"` — add a watermark.
@@ -111,12 +111,15 @@ preferred_style:
 preferred_layout: null
 language: null
 preferred_image_backend: auto
+generation_batch_size: 4
 custom_styles: []
 ---
 ```

 `preferred_image_backend: auto` is the baked-in default — first-time setup does not ask about it. The `## Image Generation Tools` rule in SKILL.md then picks the runtime-native tool (Codex `imagegen`, Hermes `image_generate`, etc.) when available, and falls back to installed backends.

+`generation_batch_size: 4` is the baked-in default for batch rendering. The current user request may override it for one run.
+
 ## Modifying Preferences Later

 See the `## Changing Preferences` section in `SKILL.md` for the canonical list of common edits (pin backend, change defaults, retrigger setup). Full schema: `preferences-schema.md`.
@@ -26,6 +26,8 @@ language: null            # zh|en|ja|ko|auto

 preferred_image_backend: auto  # auto|ask|<backend-id>

+generation_batch_size: 4       # 1-8, used when backend/runtime supports batch or parallel generation
+
 custom_styles:
  - name: my-style
    description: "Style description"
@@ -52,6 +54,7 @@ custom_styles:
 | `preferred_layout` | string | null | Layout preference or null |
 | `language` | string | null | Output language (null = auto-detect) |
 | `preferred_image_backend` | string | `auto` | Image backend selection. `auto` = prefer runtime-native tool, fall back to the only installed backend, ask if multiple non-native are present. `ask` = always confirm on every run. `<backend-id>` (e.g., `codex-imagegen`, `baoyu-imagine`, `image_generate`) = pin this backend when available; fall back to `auto` when it isn't. Absent = `auto`. Resolution logic is documented in `SKILL.md`'s `## Image Generation Tools` section. |
+| `generation_batch_size` | int | 4 | Number of images to dispatch per batch when the backend has native batch support or the runtime can issue parallel generation calls. Clamp invalid values to 1-8. Current user request overrides this value. |
 | `custom_styles` | array | [] | User-defined styles |

 ## Position Options
@@ -109,6 +112,8 @@ language: zh

 preferred_image_backend: codex-imagegen

+generation_batch_size: 4
+
 custom_styles:
  - name: corporate
    description: "Professional B2B style"
Author	SHA1	Message	Date
Jim Liu 宝玉	5d2a39c636	chore: release v1.117.2	2026-05-17 21:10:55 -05:00
Jim Liu 宝玉	db58bdee8c	docs(skills): ban programmatic text repair on generated bitmaps Add a text-correction policy to all raster-image skills: title/subtitle/labels/dialogue/etc. inside generated bitmaps must NOT be patched with ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR overlays, or any other programmatic painter. On error, regenerate from a corrected prompt or switch to a lower-text variant. Synced to: baoyu-cover-image, baoyu-article-illustrator, baoyu-comic, baoyu-image-cards, baoyu-xhs-images, baoyu-infographic, baoyu-slide-deck.	2026-05-17 21:10:50 -05:00
Jim Liu 宝玉	38cc497748	chore: release v1.117.1	2026-05-16 23:09:11 -05:00
Jim Liu 宝玉	0f95d12a09	Merge pull request #155 from JimLiu/codex/wechat-image-upload-fallback-webp [codex] Fix WeChat image upload fallback and WebP clipboard	2026-05-16 23:07:09 -05:00
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