chore: release v1.66.0

test: add test infrastructure with CI workflow and image-gen unit tests
docs(baoyu-image-gen): add Jimeng and Seedream provider documentation
2026-07-12 13:59:47 +08:00 · 2026-03-13 16:20:38 -05:00 · 2026-03-13 16:17:01 -05:00 · 2026-03-13 16:16:57 -05:00 · 2026-03-13 16:16:50 -05:00 · 2026-03-13 15:58:07 -05:00
30 changed files with 2037 additions and 334 deletions
@@ -6,7 +6,7 @@
  },
  "metadata": {
    "description": "Skills shared by Baoyu for improving daily work efficiency",
-    "version": "1.65.0"
+    "version": "1.66.0"
  },
  "plugins": [
    {
@@ -0,0 +1,21 @@
+name: Test
+
+on:
+  push:
+  pull_request:
+  workflow_dispatch:
+
+jobs:
+  node-tests:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: 22
+
+      - name: Run tests
+        run: npm test
@@ -2,6 +2,28 @@

 English | [中文](./CHANGELOG.zh.md)

+## 1.66.0 - 2026-03-13
+
+### Features
+- `baoyu-image-gen`: add Jimeng (即梦) and Seedream (豆包) image generation providers (by @lindaifeng)
+
+### Fixes
+- `baoyu-image-gen`: tighten Jimeng provider behavior
+
+### Refactor
+- `baoyu-image-gen`: export functions for testability and add module entry guard
+
+### Documentation
+- `baoyu-image-gen`: add Jimeng and Seedream provider documentation to SKILL.md and READMEs
+
+### Tests
+- Add test infrastructure with CI workflow and image-gen unit tests
+
+## 1.65.1 - 2026-03-13
+
+### Refactor
+- `baoyu-translate`: replace remark/unified with markdown-it for chunk parsing, add main.ts CLI entry point
+
 ## 1.65.0 - 2026-03-13

 ### Features
@@ -2,6 +2,28 @@

 [English](./CHANGELOG.md) | 中文

+## 1.66.0 - 2026-03-13
+
+### 新功能
+- `baoyu-image-gen`：新增即梦（Jimeng）和豆包（Seedream）图像生成服务商 (by @lindaifeng)
+
+### 修复
+- `baoyu-image-gen`：收紧即梦服务商行为
+
+### 重构
+- `baoyu-image-gen`：导出函数以支持测试，新增模块入口守卫
+
+### 文档
+- `baoyu-image-gen`：在 SKILL.md 和 README 中添加即梦和豆包服务商文档
+
+### 测试
+- 新增测试基础设施，包含 CI 工作流和 image-gen 单元测试
+
+## 1.65.1 - 2026-03-13
+
+### 重构
+- `baoyu-translate`：将 chunk 解析从 remark/unified 替换为 markdown-it，新增 main.ts CLI 入口
+
 ## 1.65.0 - 2026-03-13

 ### 新功能
@@ -1,6 +1,6 @@
 # CLAUDE.md

-Claude Code marketplace plugin providing AI-powered content generation skills. Version: **1.65.0**.
+Claude Code marketplace plugin providing AI-powered content generation skills. Version: **1.66.0**.

 ## Architecture

@@ -665,7 +665,7 @@ AI-powered generation backends.

 #### baoyu-image-gen

-AI SDK-based image generation using OpenAI, Google, OpenRouter, DashScope (Aliyun Tongyi Wanxiang), and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and quality presets.
+AI SDK-based image generation using OpenAI, Google, OpenRouter, DashScope (Aliyun Tongyi Wanxiang), Jimeng (即梦), Seedream (豆包), and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and quality presets.

 ```bash
 # Basic generation (auto-detect provider)
@@ -689,6 +689,12 @@ AI SDK-based image generation using OpenAI, Google, OpenRouter, DashScope (Aliyu
 # Replicate
 /baoyu-image-gen --prompt "A cat" --image cat.png --provider replicate

+# Jimeng (即梦)
+/baoyu-image-gen --prompt "一只可爱的猫" --image cat.png --provider jimeng
+
+# Seedream (豆包)
+/baoyu-image-gen --prompt "一只可爱的猫" --image cat.png --provider seedream
+
 # With reference images (Google, OpenAI, OpenRouter, or Replicate)
 /baoyu-image-gen --prompt "Make it blue" --image out.png --ref source.png
 ```
@@ -699,7 +705,7 @@ AI SDK-based image generation using OpenAI, Google, OpenRouter, DashScope (Aliyu
 | `--prompt`, `-p` | Prompt text |
 | `--promptfiles` | Read prompt from files (concatenated) |
 | `--image` | Output image path (required) |
-| `--provider` | `google`, `openai`, `openrouter`, `dashscope` or `replicate` (default: auto-detect; prefers google) |
+| `--provider` | `google`, `openai`, `openrouter`, `dashscope`, `jimeng`, `seedream` or `replicate` (default: auto-detect; prefers google) |
 | `--model`, `-m` | Model ID |
 | `--ar` | Aspect ratio (e.g., `16:9`, `1:1`, `4:3`) |
 | `--size` | Size (e.g., `1024x1024`) |
@@ -714,16 +720,24 @@ AI SDK-based image generation using OpenAI, Google, OpenRouter, DashScope (Aliyu
 | `GOOGLE_API_KEY` | Google API key | - |
 | `DASHSCOPE_API_KEY` | DashScope API key (Aliyun) | - |
 | `REPLICATE_API_TOKEN` | Replicate API token | - |
+| `JIMENG_ACCESS_KEY_ID` | Jimeng Volcengine access key | - |
+| `JIMENG_SECRET_ACCESS_KEY` | Jimeng Volcengine secret key | - |
+| `ARK_API_KEY` | Seedream Volcengine ARK API key | - |
 | `OPENAI_IMAGE_MODEL` | OpenAI model | `gpt-image-1.5` |
 | `OPENROUTER_IMAGE_MODEL` | OpenRouter model | `google/gemini-3.1-flash-image-preview` |
 | `GOOGLE_IMAGE_MODEL` | Google model | `gemini-3-pro-image-preview` |
 | `DASHSCOPE_IMAGE_MODEL` | DashScope model | `z-image-turbo` |
 | `REPLICATE_IMAGE_MODEL` | Replicate model | `google/nano-banana-pro` |
+| `JIMENG_IMAGE_MODEL` | Jimeng model | `jimeng_t2i_v40` |
+| `SEEDREAM_IMAGE_MODEL` | Seedream model | `doubao-seedream-5-0-260128` |
 | `OPENAI_BASE_URL` | Custom OpenAI endpoint | - |
 | `OPENROUTER_BASE_URL` | Custom OpenRouter endpoint | `https://openrouter.ai/api/v1` |
 | `GOOGLE_BASE_URL` | Custom Google endpoint | - |
 | `DASHSCOPE_BASE_URL` | Custom DashScope endpoint | - |
 | `REPLICATE_BASE_URL` | Custom Replicate endpoint | - |
+| `JIMENG_BASE_URL` | Custom Jimeng endpoint | `https://visual.volcengineapi.com` |
+| `JIMENG_REGION` | Jimeng region | `cn-north-1` |
+| `SEEDREAM_BASE_URL` | Custom Seedream endpoint | `https://ark.cn-beijing.volces.com/api/v3` |

 **Provider Auto-Selection**:
 1. If `--provider` specified → use it
@@ -989,6 +1003,18 @@ DASHSCOPE_IMAGE_MODEL=z-image-turbo
 REPLICATE_API_TOKEN=r8_xxx
 REPLICATE_IMAGE_MODEL=google/nano-banana-pro
 # REPLICATE_BASE_URL=https://api.replicate.com
+
+# Jimeng (即梦)
+JIMENG_ACCESS_KEY_ID=xxx
+JIMENG_SECRET_ACCESS_KEY=xxx
+JIMENG_IMAGE_MODEL=jimeng_t2i_v40
+# JIMENG_BASE_URL=https://visual.volcengineapi.com
+# JIMENG_REGION=cn-north-1
+
+# Seedream (豆包)
+ARK_API_KEY=xxx
+SEEDREAM_IMAGE_MODEL=doubao-seedream-5-0-260128
+# SEEDREAM_BASE_URL=https://ark.cn-beijing.volces.com/api/v3
 EOF
 ```

@@ -665,7 +665,7 @@ AI 驱动的生成后端。

 #### baoyu-image-gen

-基于 AI SDK 的图像生成，支持 OpenAI、Google、OpenRouter、DashScope（阿里通义万相）和 Replicate API。支持文生图、参考图、宽高比和质量预设。
+基于 AI SDK 的图像生成，支持 OpenAI、Google、OpenRouter、DashScope（阿里通义万相）、即梦（Jimeng）、豆包（Seedream）和 Replicate API。支持文生图、参考图、宽高比和质量预设。

 ```bash
 # 基础生成（自动检测服务商）
@@ -689,6 +689,12 @@ AI 驱动的生成后端。
 # Replicate
 /baoyu-image-gen --prompt "一只猫" --image cat.png --provider replicate

+# 即梦（Jimeng）
+/baoyu-image-gen --prompt "一只可爱的猫" --image cat.png --provider jimeng
+
+# 豆包（Seedream）
+/baoyu-image-gen --prompt "一只可爱的猫" --image cat.png --provider seedream
+
 # 带参考图（Google、OpenAI、OpenRouter 或 Replicate）
 /baoyu-image-gen --prompt "把它变成蓝色" --image out.png --ref source.png
 ```
@@ -699,7 +705,7 @@ AI 驱动的生成后端。
 | `--prompt`, `-p` | 提示词文本 |
 | `--promptfiles` | 从文件读取提示词（多文件拼接） |
 | `--image` | 输出图片路径（必需） |
-| `--provider` | `google`、`openai`、`openrouter`、`dashscope` 或 `replicate`（默认：自动检测，优先 google） |
+| `--provider` | `google`、`openai`、`openrouter`、`dashscope`、`jimeng`、`seedream` 或 `replicate`（默认：自动检测，优先 google） |
 | `--model`, `-m` | 模型 ID |
 | `--ar` | 宽高比（如 `16:9`、`1:1`、`4:3`） |
 | `--size` | 尺寸（如 `1024x1024`） |
@@ -714,16 +720,24 @@ AI 驱动的生成后端。
 | `GOOGLE_API_KEY` | Google API 密钥 | - |
 | `DASHSCOPE_API_KEY` | DashScope API 密钥（阿里云） | - |
 | `REPLICATE_API_TOKEN` | Replicate API Token | - |
+| `JIMENG_ACCESS_KEY_ID` | 即梦火山引擎 Access Key | - |
+| `JIMENG_SECRET_ACCESS_KEY` | 即梦火山引擎 Secret Key | - |
+| `ARK_API_KEY` | 豆包火山引擎 ARK API 密钥 | - |
 | `OPENAI_IMAGE_MODEL` | OpenAI 模型 | `gpt-image-1.5` |
 | `OPENROUTER_IMAGE_MODEL` | OpenRouter 模型 | `google/gemini-3.1-flash-image-preview` |
 | `GOOGLE_IMAGE_MODEL` | Google 模型 | `gemini-3-pro-image-preview` |
 | `DASHSCOPE_IMAGE_MODEL` | DashScope 模型 | `z-image-turbo` |
 | `REPLICATE_IMAGE_MODEL` | Replicate 模型 | `google/nano-banana-pro` |
+| `JIMENG_IMAGE_MODEL` | 即梦模型 | `jimeng_t2i_v40` |
+| `SEEDREAM_IMAGE_MODEL` | 豆包模型 | `doubao-seedream-5-0-260128` |
 | `OPENAI_BASE_URL` | 自定义 OpenAI 端点 | - |
 | `OPENROUTER_BASE_URL` | 自定义 OpenRouter 端点 | `https://openrouter.ai/api/v1` |
 | `GOOGLE_BASE_URL` | 自定义 Google 端点 | - |
 | `DASHSCOPE_BASE_URL` | 自定义 DashScope 端点 | - |
 | `REPLICATE_BASE_URL` | 自定义 Replicate 端点 | - |
+| `JIMENG_BASE_URL` | 自定义即梦端点 | `https://visual.volcengineapi.com` |
+| `JIMENG_REGION` | 即梦区域 | `cn-north-1` |
+| `SEEDREAM_BASE_URL` | 自定义豆包端点 | `https://ark.cn-beijing.volces.com/api/v3` |

 **服务商自动选择**：
 1. 如果指定了 `--provider` → 使用指定的
@@ -989,6 +1003,18 @@ DASHSCOPE_IMAGE_MODEL=z-image-turbo
 REPLICATE_API_TOKEN=r8_xxx
 REPLICATE_IMAGE_MODEL=google/nano-banana-pro
 # REPLICATE_BASE_URL=https://api.replicate.com
+
+# 即梦（Jimeng）
+JIMENG_ACCESS_KEY_ID=xxx
+JIMENG_SECRET_ACCESS_KEY=xxx
+JIMENG_IMAGE_MODEL=jimeng_t2i_v40
+# JIMENG_BASE_URL=https://visual.volcengineapi.com
+# JIMENG_REGION=cn-north-1
+
+# 豆包（Seedream）
+ARK_API_KEY=xxx
+SEEDREAM_IMAGE_MODEL=doubao-seedream-5-0-260128
+# SEEDREAM_BASE_URL=https://ark.cn-beijing.volces.com/api/v3
 EOF
 ```

@@ -0,0 +1,73 @@
+# Testing Strategy
+
+This repository has many scripts, but they do not share a single runtime or dependency graph. The lowest-risk testing strategy is to start from stable Node-based library code, then expand outward to CLI and skill-specific smoke tests.
+
+## Current Baseline
+
+- Root test runner: `node:test`
+- Entry point: `npm test`
+- Coverage command: `npm run test:coverage`
+- CI trigger: GitHub Actions on `push`, `pull_request`, and manual dispatch
+
+This avoids introducing Jest/Vitest across a repo that already mixes plain Node scripts, Bun-based skill packages, vendored code, and browser automation.
+
+## Rollout Plan
+
+### Phase 1: Stable library coverage
+
+Focus on pure functions under `scripts/lib/` first.
+
+- `scripts/lib/release-files.mjs`
+- `scripts/lib/shared-skill-packages.mjs`
+
+Goals:
+
+- Validate file filtering and release packaging rules
+- Catch regressions in package vendoring and dependency rewriting
+- Keep tests deterministic and free of network, Bun, or browser requirements
+
+### Phase 2: Root CLI integration tests
+
+Add temp-directory integration tests for root CLIs that already support dry-run or local-only flows.
+
+- `scripts/sync-shared-skill-packages.mjs`
+- `scripts/publish-skill.mjs --dry-run`
+- `scripts/sync-clawhub.mjs` argument handling and local skill discovery
+
+Goals:
+
+- Assert exit codes and stdout for common flows
+- Cover CLI argument parsing without hitting external services
+
+### Phase 3: Skill script smoke tests
+
+Add opt-in smoke tests for selected `skills/*/scripts/` packages, starting with those that:
+
+- accept local input files
+- have deterministic output
+- do not require authenticated browser sessions
+
+Examples:
+
+- markdown transforms
+- file conversion helpers
+- local content analyzers
+
+Keep browser automation, login flows, and live API publishing scripts outside the default CI path unless they are explicitly mocked.
+
+### Phase 4: Coverage gates
+
+After the stable Node path has enough breadth, add coverage thresholds in CI for the tested root modules.
+
+Recommended order:
+
+1. Start with reporting only
+2. Add line/function thresholds for `scripts/lib/**`
+3. Expand include patterns once skill-level smoke tests are reliable
+
+## Conventions For New Tests
+
+- Prefer temp directories over committed fixtures unless the fixture is reused heavily
+- Test exported functions before testing CLI wrappers
+- Avoid network, browser, and credential dependencies in default CI
+- Keep tests isolated so they can run with plain `node --test`
@@ -0,0 +1,9 @@
+{
+  "name": "baoyu-skills",
+  "private": true,
+  "type": "module",
+  "scripts": {
+    "test": "node --test",
+    "test:coverage": "node --experimental-test-coverage --test"
+  }
+}
@@ -1,6 +1,6 @@
 ---
 name: baoyu-image-gen
-description: AI image generation with OpenAI, Google, OpenRouter, DashScope and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.
+description: AI image generation with OpenAI, Google, OpenRouter, DashScope, Jimeng, Seedream and Replicate APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.
 version: 1.56.2
 metadata:
  openclaw:
@@ -13,7 +13,7 @@ metadata:

 # Image Generation (AI SDK)

-Official API-based image generation. Supports OpenAI, Google, OpenRouter, DashScope (阿里通义万象) and Replicate providers.
+Official API-based image generation. Supports OpenAI, Google, OpenRouter, DashScope (阿里通义万象), Jimeng (即梦), Seedream (豆包) and Replicate providers.

 ## Script Directory

@@ -141,13 +141,13 @@ Paths in `promptFiles`, `image`, and `ref` are resolved relative to the batch fi
 | `--image <path>` | Output image path (required in single-image mode) |
 | `--batchfile <path>` | JSON batch file for multi-image generation |
 | `--jobs <count>` | Worker count for batch mode (default: auto, max from config, built-in default 10) |
-| `--provider google\|openai\|openrouter\|dashscope\|replicate` | Force provider (default: auto-detect) |
+| `--provider google\|openai\|openrouter\|dashscope\|jimeng\|seedream\|replicate` | Force provider (default: auto-detect) |
 | `--model <id>`, `-m` | Model ID (Google: `gemini-3-pro-image-preview`; OpenAI: `gpt-image-1.5`; OpenRouter: `google/gemini-3.1-flash-image-preview`) |
 | `--ar <ratio>` | Aspect ratio (e.g., `16:9`, `1:1`, `4:3`) |
 | `--size <WxH>` | Size (e.g., `1024x1024`) |
 | `--quality normal\|2k` | Quality preset (default: `2k`) |
 | `--imageSize 1K\|2K\|4K` | Image size for Google/OpenRouter (default: from quality) |
-| `--ref <files...>` | Reference images. Supported by Google multimodal, OpenAI GPT Image edits, OpenRouter multimodal models, and Replicate |
+| `--ref <files...>` | Reference images. Supported by Google multimodal, OpenAI GPT Image edits, OpenRouter multimodal models, and Replicate. Not supported by Jimeng or Seedream |
 | `--n <count>` | Number of images |
 | `--json` | JSON output |

@@ -160,11 +160,16 @@ Paths in `promptFiles`, `image`, and `ref` are resolved relative to the batch fi
 | `GOOGLE_API_KEY` | Google API key |
 | `DASHSCOPE_API_KEY` | DashScope API key (阿里云) |
 | `REPLICATE_API_TOKEN` | Replicate API token |
+| `JIMENG_ACCESS_KEY_ID` | Jimeng (即梦) Volcengine access key |
+| `JIMENG_SECRET_ACCESS_KEY` | Jimeng (即梦) Volcengine secret key |
+| `ARK_API_KEY` | Seedream (豆包) Volcengine ARK API key |
 | `OPENAI_IMAGE_MODEL` | OpenAI model override |
 | `OPENROUTER_IMAGE_MODEL` | OpenRouter model override (default: `google/gemini-3.1-flash-image-preview`) |
 | `GOOGLE_IMAGE_MODEL` | Google model override |
 | `DASHSCOPE_IMAGE_MODEL` | DashScope model override (default: z-image-turbo) |
 | `REPLICATE_IMAGE_MODEL` | Replicate model override (default: google/nano-banana-pro) |
+| `JIMENG_IMAGE_MODEL` | Jimeng model override (default: jimeng_t2i_v40) |
+| `SEEDREAM_IMAGE_MODEL` | Seedream model override (default: doubao-seedream-5-0-260128) |
 | `OPENAI_BASE_URL` | Custom OpenAI endpoint |
 | `OPENROUTER_BASE_URL` | Custom OpenRouter endpoint (default: `https://openrouter.ai/api/v1`) |
 | `OPENROUTER_HTTP_REFERER` | Optional app/site URL for OpenRouter attribution |
@@ -172,6 +177,9 @@ Paths in `promptFiles`, `image`, and `ref` are resolved relative to the batch fi
 | `GOOGLE_BASE_URL` | Custom Google endpoint |
 | `DASHSCOPE_BASE_URL` | Custom DashScope endpoint |
 | `REPLICATE_BASE_URL` | Custom Replicate endpoint |
+| `JIMENG_BASE_URL` | Custom Jimeng endpoint (default: `https://visual.volcengineapi.com`) |
+| `JIMENG_REGION` | Jimeng region (default: `cn-north-1`) |
+| `SEEDREAM_BASE_URL` | Custom Seedream endpoint (default: `https://ark.cn-beijing.volces.com/api/v3`) |
 | `BAOYU_IMAGE_GEN_MAX_WORKERS` | Override batch worker cap |
 | `BAOYU_IMAGE_GEN_<PROVIDER>_CONCURRENCY` | Override provider concurrency, e.g. `BAOYU_IMAGE_GEN_REPLICATE_CONCURRENCY` |
 | `BAOYU_IMAGE_GEN_<PROVIDER>_START_INTERVAL_MS` | Override provider start gap, e.g. `BAOYU_IMAGE_GEN_REPLICATE_START_INTERVAL_MS` |
@@ -227,7 +235,7 @@ ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --provider r

 ## Provider Selection

-1. `--ref` provided + no `--provider` → auto-select Google first, then OpenAI, then OpenRouter, then Replicate
+1. `--ref` provided + no `--provider` → auto-select Google first, then OpenAI, then OpenRouter, then Replicate (Jimeng and Seedream do not support reference images)
 2. `--provider` specified → use it (if `--ref`, must be `google`, `openai`, `openrouter`, or `replicate`)
 3. Only one API key available → use that provider
 4. Multiple available → default to Google
@@ -1,6 +1,7 @@
 import path from "node:path";
 import process from "node:process";
 import { homedir } from "node:os";
+import { fileURLToPath } from "node:url";
 import { access, mkdir, readFile, writeFile } from "node:fs/promises";
 import type {
  BatchFile,
@@ -55,6 +56,8 @@ const DEFAULT_PROVIDER_RATE_LIMITS: Record<Provider, ProviderRateLimit> = {
  openai: { concurrency: 3, startIntervalMs: 1100 },
  openrouter: { concurrency: 3, startIntervalMs: 1100 },
  dashscope: { concurrency: 3, startIntervalMs: 1100 },
+  jimeng: { concurrency: 3, startIntervalMs: 1100 },
+  seedream: { concurrency: 3, startIntervalMs: 1100 },
 };

 function printUsage(): void {
@@ -69,7 +72,7 @@ Options:
  --image <path>            Output image path (required in single-image mode)
  --batchfile <path>        JSON batch file for multi-image generation
  --jobs <count>            Worker count for batch mode (default: auto, max from config, built-in default 10)
-  --provider google|openai|openrouter|dashscope|replicate  Force provider (auto-detect by default)
+  --provider google|openai|openrouter|dashscope|replicate|jimeng|seedream  Force provider (auto-detect by default)
  -m, --model <id>          Model ID
  --ar <ratio>              Aspect ratio (e.g., 16:9, 1:1, 4:3)
  --size <WxH>              Size (e.g., 1024x1024)
@@ -107,11 +110,16 @@ Environment variables:
  GEMINI_API_KEY            Gemini API key (alias for GOOGLE_API_KEY)
  DASHSCOPE_API_KEY         DashScope API key
  REPLICATE_API_TOKEN       Replicate API token
+  JIMENG_ACCESS_KEY_ID      Jimeng Access Key ID
+  JIMENG_SECRET_ACCESS_KEY  Jimeng Secret Access Key
+  ARK_API_KEY               Seedream/Ark API key
  OPENAI_IMAGE_MODEL        Default OpenAI model (gpt-image-1.5)
  OPENROUTER_IMAGE_MODEL    Default OpenRouter model (google/gemini-3.1-flash-image-preview)
  GOOGLE_IMAGE_MODEL        Default Google model (gemini-3-pro-image-preview)
  DASHSCOPE_IMAGE_MODEL     Default DashScope model (z-image-turbo)
  REPLICATE_IMAGE_MODEL     Default Replicate model (google/nano-banana-pro)
+  JIMENG_IMAGE_MODEL        Default Jimeng model (jimeng_t2i_v40)
+  SEEDREAM_IMAGE_MODEL      Default Seedream model (doubao-seedream-5-0-260128)
  OPENAI_BASE_URL           Custom OpenAI endpoint
  OPENAI_IMAGE_USE_CHAT     Use /chat/completions instead of /images/generations (true|false)
  OPENROUTER_BASE_URL       Custom OpenRouter endpoint
@@ -120,6 +128,8 @@ Environment variables:
  GOOGLE_BASE_URL           Custom Google endpoint
  DASHSCOPE_BASE_URL        Custom DashScope endpoint
  REPLICATE_BASE_URL        Custom Replicate endpoint
+  JIMENG_BASE_URL           Custom Jimeng endpoint
+  SEEDREAM_BASE_URL         Custom Seedream endpoint
  BAOYU_IMAGE_GEN_MAX_WORKERS  Override batch worker cap
  BAOYU_IMAGE_GEN_<PROVIDER>_CONCURRENCY  Override provider concurrency
  BAOYU_IMAGE_GEN_<PROVIDER>_START_INTERVAL_MS  Override provider start gap in ms
@@ -127,7 +137,7 @@ Environment variables:
 Env file load order: CLI args > EXTEND.md > process.env > <cwd>/.baoyu-skills/.env > ~/.baoyu-skills/.env`);
 }

-function parseArgs(argv: string[]): CliArgs {
+export function parseArgs(argv: string[]): CliArgs {
  const out: CliArgs = {
    prompt: null,
    promptFiles: [],
@@ -217,7 +227,9 @@ function parseArgs(argv: string[]): CliArgs {
        v !== "openai" &&
        v !== "openrouter" &&
        v !== "dashscope" &&
-        v !== "replicate"
+        v !== "replicate" &&
+        v !== "jimeng" &&
+        v !== "seedream"
      ) {
        throw new Error(`Invalid provider: ${v}`);
      }
@@ -327,12 +339,12 @@ async function loadEnv(): Promise<void> {
  }
 }

-function extractYamlFrontMatter(content: string): string | null {
+export function extractYamlFrontMatter(content: string): string | null {
  const match = content.match(/^---\s*\n([\s\S]*?)\n---\s*$/m);
  return match ? match[1] : null;
 }

-function parseSimpleYaml(yaml: string): Partial<ExtendConfig> {
+export function parseSimpleYaml(yaml: string): Partial<ExtendConfig> {
  const config: Partial<ExtendConfig> = {};
  const lines = yaml.split("\n");
  let currentKey: string | null = null;
@@ -370,6 +382,8 @@ function parseSimpleYaml(yaml: string): Partial<ExtendConfig> {
          openrouter: null,
          dashscope: null,
          replicate: null,
+          jimeng: null,
+          seedream: null,
        };
        currentKey = "default_model";
        currentProvider = null;
@@ -393,7 +407,9 @@ function parseSimpleYaml(yaml: string): Partial<ExtendConfig> {
          key === "openai" ||
          key === "openrouter" ||
          key === "dashscope" ||
-          key === "replicate"
+          key === "replicate" ||
+          key === "jimeng" ||
+          key === "seedream"
        )
      ) {
        config.batch ??= {};
@@ -407,7 +423,9 @@ function parseSimpleYaml(yaml: string): Partial<ExtendConfig> {
          key === "openai" ||
          key === "openrouter" ||
          key === "dashscope" ||
-          key === "replicate"
+          key === "replicate" ||
+          key === "jimeng" ||
+          key === "seedream"
        )
      ) {
        const cleaned = value.replace(/['"]/g, "");
@@ -456,7 +474,7 @@ async function loadExtendConfig(): Promise<Partial<ExtendConfig>> {
  return {};
 }

-function mergeConfig(args: CliArgs, extend: Partial<ExtendConfig>): CliArgs {
+export function mergeConfig(args: CliArgs, extend: Partial<ExtendConfig>): CliArgs {
  return {
    ...args,
    provider: args.provider ?? extend.default_provider ?? null,
@@ -466,13 +484,13 @@ function mergeConfig(args: CliArgs, extend: Partial<ExtendConfig>): CliArgs {
  };
 }

-function parsePositiveInt(value: string | undefined): number | null {
+export function parsePositiveInt(value: string | undefined): number | null {
  if (!value) return null;
  const parsed = parseInt(value, 10);
  return Number.isFinite(parsed) && parsed > 0 ? parsed : null;
 }

-function parsePositiveBatchInt(value: unknown): number | null {
+export function parsePositiveBatchInt(value: unknown): number | null {
  if (value === null || value === undefined) return null;
  if (typeof value === "number") {
    return Number.isInteger(value) && value > 0 ? value : null;
@@ -483,13 +501,13 @@ function parsePositiveBatchInt(value: unknown): number | null {
  return null;
 }

-function getConfiguredMaxWorkers(extendConfig: Partial<ExtendConfig>): number {
+export function getConfiguredMaxWorkers(extendConfig: Partial<ExtendConfig>): number {
  const envValue = parsePositiveInt(process.env.BAOYU_IMAGE_GEN_MAX_WORKERS);
  const configValue = extendConfig.batch?.max_workers ?? null;
  return Math.max(1, envValue ?? configValue ?? DEFAULT_MAX_WORKERS);
 }

-function getConfiguredProviderRateLimits(
+export function getConfiguredProviderRateLimits(
  extendConfig: Partial<ExtendConfig>
 ): Record<Provider, ProviderRateLimit> {
  const configured: Record<Provider, ProviderRateLimit> = {
@@ -498,9 +516,11 @@ function getConfiguredProviderRateLimits(
    openai: { ...DEFAULT_PROVIDER_RATE_LIMITS.openai },
    openrouter: { ...DEFAULT_PROVIDER_RATE_LIMITS.openrouter },
    dashscope: { ...DEFAULT_PROVIDER_RATE_LIMITS.dashscope },
+    jimeng: { ...DEFAULT_PROVIDER_RATE_LIMITS.jimeng },
+    seedream: { ...DEFAULT_PROVIDER_RATE_LIMITS.seedream },
  };

-  for (const provider of ["replicate", "google", "openai", "openrouter", "dashscope"] as Provider[]) {
+  for (const provider of ["replicate", "google", "openai", "openrouter", "dashscope", "jimeng", "seedream"] as Provider[]) {
    const envPrefix = `BAOYU_IMAGE_GEN_${provider.toUpperCase()}`;
    const extendLimit = extendConfig.batch?.provider_limits?.[provider];
    configured[provider] = {
@@ -540,14 +560,14 @@ async function readPromptFromStdin(): Promise<string | null> {
  }
 }

-function normalizeOutputImagePath(p: string): string {
+export function normalizeOutputImagePath(p: string): string {
  const full = path.resolve(p);
  const ext = path.extname(full);
  if (ext) return full;
  return `${full}.png`;
 }

-function detectProvider(args: CliArgs): Provider {
+export function detectProvider(args: CliArgs): Provider {
  if (
    args.referenceImages.length > 0 &&
    args.provider &&
@@ -568,6 +588,8 @@ function detectProvider(args: CliArgs): Provider {
  const hasOpenrouter = !!process.env.OPENROUTER_API_KEY;
  const hasDashscope = !!process.env.DASHSCOPE_API_KEY;
  const hasReplicate = !!process.env.REPLICATE_API_TOKEN;
+  const hasJimeng = !!(process.env.JIMENG_ACCESS_KEY_ID && process.env.JIMENG_SECRET_ACCESS_KEY);
+  const hasSeedream = !!process.env.ARK_API_KEY;

  if (args.referenceImages.length > 0) {
    if (hasGoogle) return "google";
@@ -575,7 +597,7 @@ function detectProvider(args: CliArgs): Provider {
    if (hasOpenrouter) return "openrouter";
    if (hasReplicate) return "replicate";
    throw new Error(
-      "Reference images require Google, OpenAI, OpenRouter or Replicate. Set GOOGLE_API_KEY/GEMINI_API_KEY, OPENAI_API_KEY, OPENROUTER_API_KEY, or REPLICATE_API_TOKEN, or remove --ref."
+      "Reference images require Google, OpenAI, OpenRouter, or Replicate. Set GOOGLE_API_KEY/GEMINI_API_KEY, OPENAI_API_KEY, OPENROUTER_API_KEY, or REPLICATE_API_TOKEN, or remove --ref."
    );
  }

@@ -585,18 +607,20 @@ function detectProvider(args: CliArgs): Provider {
    hasOpenrouter && "openrouter",
    hasDashscope && "dashscope",
    hasReplicate && "replicate",
+    hasJimeng && "jimeng",
+    hasSeedream && "seedream",
  ].filter(Boolean) as Provider[];

  if (available.length === 1) return available[0]!;
  if (available.length > 1) return available[0]!;

  throw new Error(
-    "No API key found. Set GOOGLE_API_KEY, GEMINI_API_KEY, OPENAI_API_KEY, OPENROUTER_API_KEY, DASHSCOPE_API_KEY, or REPLICATE_API_TOKEN.\n" +
+    "No API key found. Set GOOGLE_API_KEY, GEMINI_API_KEY, OPENAI_API_KEY, OPENROUTER_API_KEY, DASHSCOPE_API_KEY, REPLICATE_API_TOKEN, JIMENG keys, or ARK_API_KEY.\n" +
      "Create ~/.baoyu-skills/.env or <cwd>/.baoyu-skills/.env with your keys."
  );
 }

-async function validateReferenceImages(referenceImages: string[]): Promise<void> {
+export async function validateReferenceImages(referenceImages: string[]): Promise<void> {
  for (const refPath of referenceImages) {
    const fullPath = path.resolve(refPath);
    try {
@@ -607,7 +631,7 @@ async function validateReferenceImages(referenceImages: string[]): Promise<void>
  }
 }

-function isRetryableGenerationError(error: unknown): boolean {
+export function isRetryableGenerationError(error: unknown): boolean {
  const msg = error instanceof Error ? error.message : String(error);
  const nonRetryableMarkers = [
    "Reference image",
@@ -632,6 +656,8 @@ async function loadProviderModule(provider: Provider): Promise<ProviderModule> {
  if (provider === "dashscope") return (await import("./providers/dashscope")) as ProviderModule;
  if (provider === "replicate") return (await import("./providers/replicate")) as ProviderModule;
  if (provider === "openrouter") return (await import("./providers/openrouter")) as ProviderModule;
+  if (provider === "jimeng") return (await import("./providers/jimeng")) as ProviderModule;
+  if (provider === "seedream") return (await import("./providers/seedream")) as ProviderModule;
  return (await import("./providers/openai")) as ProviderModule;
 }

@@ -658,6 +684,8 @@ function getModelForProvider(
    }
    if (provider === "dashscope" && extendConfig.default_model.dashscope) return extendConfig.default_model.dashscope;
    if (provider === "replicate" && extendConfig.default_model.replicate) return extendConfig.default_model.replicate;
+    if (provider === "jimeng" && extendConfig.default_model.jimeng) return extendConfig.default_model.jimeng;
+    if (provider === "seedream" && extendConfig.default_model.seedream) return extendConfig.default_model.seedream;
  }
  return providerModule.getDefaultModel();
 }
@@ -685,7 +713,7 @@ async function prepareSingleTask(args: CliArgs, extendConfig: Partial<ExtendConf
  };
 }

-async function loadBatchTasks(batchFilePath: string): Promise<LoadedBatchTasks> {
+export async function loadBatchTasks(batchFilePath: string): Promise<LoadedBatchTasks> {
  const resolvedBatchFilePath = path.resolve(batchFilePath);
  const content = await readFile(resolvedBatchFilePath, "utf8");
  const parsed = JSON.parse(content.replace(/^\uFEFF/, "")) as BatchFile;
@@ -711,11 +739,11 @@ async function loadBatchTasks(batchFilePath: string): Promise<LoadedBatchTasks>
  throw new Error("Invalid batch file. Expected an array of tasks or an object with a tasks array.");
 }

-function resolveBatchPath(batchDir: string, filePath: string): string {
+export function resolveBatchPath(batchDir: string, filePath: string): string {
  return path.isAbsolute(filePath) ? filePath : path.resolve(batchDir, filePath);
 }

-function createTaskArgs(baseArgs: CliArgs, task: BatchTaskInput, batchDir: string): CliArgs {
+export function createTaskArgs(baseArgs: CliArgs, task: BatchTaskInput, batchDir: string): CliArgs {
  return {
    ...baseArgs,
    prompt: task.prompt ?? null,
@@ -854,7 +882,7 @@ function createProviderGate(providerRateLimits: Record<Provider, ProviderRateLim
  };
 }

-function getWorkerCount(taskCount: number, jobs: number | null, maxWorkers: number): number {
+export function getWorkerCount(taskCount: number, jobs: number | null, maxWorkers: number): number {
  const requested = jobs ?? Math.min(taskCount, maxWorkers);
  return Math.max(1, Math.min(requested, taskCount, maxWorkers));
 }
@@ -873,7 +901,7 @@ async function runBatchTasks(
  const acquireProvider = createProviderGate(providerRateLimits);
  const workerCount = getWorkerCount(tasks.length, jobs, maxWorkers);
  console.error(`Batch mode: ${tasks.length} tasks, ${workerCount} workers, parallel mode enabled.`);
-  for (const provider of ["replicate", "google", "openai", "dashscope"] as Provider[]) {
+  for (const provider of ["replicate", "google", "openai", "openrouter", "dashscope", "jimeng", "seedream"] as Provider[]) {
    const limit = providerRateLimits[provider];
    console.error(`- ${provider}: concurrency=${limit.concurrency}, startIntervalMs=${limit.startIntervalMs}`);
  }
@@ -984,8 +1012,21 @@ async function main(): Promise<void> {
  await runSingleMode(mergedArgs, extendConfig);
 }

-main().catch((error) => {
-  const message = error instanceof Error ? error.message : String(error);
-  console.error(message);
-  process.exit(1);
-});
+function isDirectExecution(metaUrl: string): boolean {
+  const entryPath = process.argv[1];
+  if (!entryPath) return false;
+
+  try {
+    return path.resolve(entryPath) === fileURLToPath(metaUrl);
+  } catch {
+    return false;
+  }
+}
+
+if (isDirectExecution(import.meta.url)) {
+  main().catch((error) => {
+    const message = error instanceof Error ? error.message : String(error);
+    console.error(message);
+    process.exit(1);
+  });
+}
@@ -13,7 +13,7 @@ function getBaseUrl(): string {
  return base.replace(/\/+$/g, "");
 }

-function parseAspectRatio(ar: string): { width: number; height: number } | null {
+export function parseAspectRatio(ar: string): { width: number; height: number } | null {
  const match = ar.match(/^(\d+(?:\.\d+)?):(\d+(?:\.\d+)?)$/);
  if (!match) return null;
  const w = parseFloat(match[1]!);
@@ -45,7 +45,7 @@ const STANDARD_SIZES_2K: [number, number][] = [
  [2048, 2048],
 ];

-function getSizeFromAspectRatio(ar: string | null, quality: CliArgs["quality"]): string {
+export function getSizeFromAspectRatio(ar: string | null, quality: CliArgs["quality"]): string {
  const is2k = quality === "2k";
  const defaultSize = is2k ? "1536*1536" : "1024*1024";

@@ -71,7 +71,7 @@ function getSizeFromAspectRatio(ar: string | null, quality: CliArgs["quality"]):
  return best;
 }

-function normalizeSize(size: string): string {
+export function normalizeSize(size: string): string {
  return size.replace("x", "*");
 }

@@ -17,16 +17,16 @@ export function getDefaultModel(): string {
  return process.env.GOOGLE_IMAGE_MODEL || "gemini-3-pro-image-preview";
 }

-function normalizeGoogleModelId(model: string): string {
+export function normalizeGoogleModelId(model: string): string {
  return model.startsWith("models/") ? model.slice("models/".length) : model;
 }

-function isGoogleMultimodal(model: string): boolean {
+export function isGoogleMultimodal(model: string): boolean {
  const normalized = normalizeGoogleModelId(model);
  return GOOGLE_MULTIMODAL_MODELS.some((m) => normalized.includes(m));
 }

-function isGoogleImagen(model: string): boolean {
+export function isGoogleImagen(model: string): boolean {
  const normalized = normalizeGoogleModelId(model);
  return GOOGLE_IMAGEN_MODELS.some((m) => normalized.includes(m));
 }
@@ -35,7 +35,7 @@ function getGoogleApiKey(): string | null {
  return process.env.GOOGLE_API_KEY || process.env.GEMINI_API_KEY || null;
 }

-function getGoogleImageSize(args: CliArgs): "1K" | "2K" | "4K" {
+export function getGoogleImageSize(args: CliArgs): "1K" | "2K" | "4K" {
  if (args.imageSize) return args.imageSize as "1K" | "2K" | "4K";
  return args.quality === "2k" ? "2K" : "1K";
 }
@@ -46,7 +46,7 @@ function getGoogleBaseUrl(): string {
  return base.replace(/\/+$/g, "");
 }

-function buildGoogleUrl(pathname: string): string {
+export function buildGoogleUrl(pathname: string): string {
  const base = getGoogleBaseUrl();
  const cleanedPath = pathname.replace(/^\/+/g, "");
  if (base.endsWith("/v1beta")) return `${base}/${cleanedPath}`;
@@ -162,7 +162,7 @@ async function postGoogleJson<T>(pathname: string, body: unknown): Promise<T> {
  return postGoogleJsonViaFetch<T>(url, apiKey, body);
 }

-function buildPromptWithAspect(
+export function buildPromptWithAspect(
  prompt: string,
  ar: string | null,
  quality: CliArgs["quality"],
@@ -177,7 +177,7 @@ function buildPromptWithAspect(
  return result;
 }

-function addAspectRatioToPrompt(prompt: string, ar: string | null): string {
+export function addAspectRatioToPrompt(prompt: string, ar: string | null): string {
  if (!ar) return prompt;
  return `${prompt} Aspect ratio: ${ar}.`;
 }
@@ -194,7 +194,7 @@ async function readImageAsBase64(
  return { data: buf.toString("base64"), mimeType };
 }

-function extractInlineImageData(response: {
+export function extractInlineImageData(response: {
  candidates?: Array<{
    content?: { parts?: Array<{ inlineData?: { data?: string } }> };
  }>;
@@ -208,7 +208,7 @@ function extractInlineImageData(response: {
  return null;
 }

-function extractPredictedImageData(response: {
+export function extractPredictedImageData(response: {
  predictions?: Array<any>;
  generatedImages?: Array<any>;
 }): string | null {
@@ -0,0 +1,467 @@
+import type { CliArgs } from "../types";
+import * as crypto from "node:crypto";
+
+type JimengSizePreset = "normal" | "2k" | "4k";
+
+export function getDefaultModel(): string {
+  return process.env.JIMENG_IMAGE_MODEL || "jimeng_t2i_v40";
+}
+
+function getAccessKey(): string | null {
+  return process.env.JIMENG_ACCESS_KEY_ID || null;
+}
+
+function getSecretKey(): string | null {
+  return process.env.JIMENG_SECRET_ACCESS_KEY || null;
+}
+
+function getRegion(): string {
+  return process.env.JIMENG_REGION || "cn-north-1";
+}
+
+function getBaseUrl(): string {
+  return process.env.JIMENG_BASE_URL || "https://visual.volcengineapi.com";
+}
+
+function resolveEndpoint(query: Record<string, string>): {
+  url: string;
+  host: string;
+  canonicalUri: string;
+} {
+  let baseUrl: URL;
+  try {
+    baseUrl = new URL(getBaseUrl());
+  } catch {
+    throw new Error(`Invalid JIMENG_BASE_URL: ${getBaseUrl()}`);
+  }
+
+  baseUrl.search = "";
+  for (const [key, value] of Object.entries(query).sort(([a], [b]) => a.localeCompare(b))) {
+    baseUrl.searchParams.set(key, value);
+  }
+
+  return {
+    url: baseUrl.toString(),
+    host: baseUrl.host,
+    canonicalUri: baseUrl.pathname || "/",
+  };
+}
+
+/**
+ * Volcengine HMAC-SHA256 signature generation
+ * Following the official documentation at:
+ * https://www.volcengine.com/docs/85621/1817045
+ */
+function generateSignature(
+  method: string,
+  query: Record<string, string>,
+  headers: Record<string, string>,
+  body: string,
+  accessKey: string,
+  secretKey: string,
+  region: string,
+  service: string,
+  canonicalUri: string
+): string {
+  // 1. Create canonical request
+  // Sort query parameters alphabetically
+  const sortedQuery = Object.entries(query)
+    .sort(([a], [b]) => a.localeCompare(b))
+    .map(([k, v]) => `${encodeURIComponent(k)}=${encodeURIComponent(v)}`)
+    .join("&");
+
+  // Sort headers alphabetically and create canonical headers
+  const sortedHeaders = Object.entries(headers)
+    .sort(([a], [b]) => a.localeCompare(b))
+    .map(([k, v]) => `${k.toLowerCase()}:${v.trim()}\n`)
+    .join("");
+
+  const signedHeaders = Object.keys(headers)
+    .sort()
+    .map(k => k.toLowerCase())
+    .join(";");
+
+  const hashedPayload = crypto.createHash("sha256").update(body, "utf8").digest("hex");
+
+  const canonicalRequest = [
+    method,
+    canonicalUri,
+    sortedQuery,
+    sortedHeaders,
+    signedHeaders,
+    hashedPayload,
+  ].join("\n");
+
+  const hashedCanonicalRequest = crypto
+    .createHash("sha256")
+    .update(canonicalRequest, "utf8")
+    .digest("hex");
+
+  // 2. Create string to sign
+  const algorithm = "HMAC-SHA256";
+  const timestamp = headers["X-Date"] || headers["x-date"];
+  if (!timestamp) {
+    throw new Error("Jimeng signature generation requires an X-Date header.");
+  }
+  const dateStamp = timestamp.slice(0, 8);
+
+  const credentialScope = `${dateStamp}/${region}/${service}/request`;
+
+  const stringToSign = [
+    algorithm,
+    timestamp,
+    credentialScope,
+    hashedCanonicalRequest,
+  ].join("\n");
+
+  // 3. Calculate signature
+  const kDate = crypto
+    .createHmac("sha256", secretKey)
+    .update(dateStamp)
+    .digest();
+
+  const kRegion = crypto.createHmac("sha256", kDate).update(region).digest();
+  const kService = crypto.createHmac("sha256", kRegion).update(service).digest();
+  const kSigning = crypto.createHmac("sha256", kService).update("request").digest();
+
+  const signature = crypto
+    .createHmac("sha256", kSigning)
+    .update(stringToSign)
+    .digest("hex");
+
+  // 4. Create authorization header
+  return `${algorithm} Credential=${accessKey}/${credentialScope}, SignedHeaders=${signedHeaders}, Signature=${signature}`;
+}
+
+/**
+ * Parse aspect ratio string like "16:9", "1:1", "4:3" into width and height
+ */
+function parseAspectRatio(ar: string): { width: number; height: number } | null {
+  const match = ar.match(/^(\d+(?:\.\d+)?):(\d+(?:\.\d+)?)$/);
+  if (!match) return null;
+  const w = parseFloat(match[1]!);
+  const h = parseFloat(match[2]!);
+  if (w <= 0 || h <= 0) return null;
+  return { width: w, height: h };
+}
+
+/**
+ * Supported size presets for different quality levels
+ * Based on Volcengine Jimeng documentation
+ */
+const SIZE_PRESETS: Record<string, Record<string, string>> = {
+  normal: {
+    "1:1": "1024x1024",
+    "4:3": "1360x1020",
+    "16:9": "1536x864",
+    "3:2": "1440x960",
+    "21:9": "1920x824",
+  },
+  "2k": {
+    "1:1": "2048x2048",
+    "4:3": "2304x1728",
+    "16:9": "2560x1440",
+    "3:2": "2496x1664",
+    "21:9": "3024x1296",
+  },
+  "4k": {
+    "1:1": "4096x4096",
+    "4:3": "4694x3520",
+    "16:9": "5404x3040",
+    "3:2": "4992x3328",
+    "21:9": "6198x2656",
+  },
+};
+
+function normalizeDimensions(value: string): string | null {
+  const match = value.trim().match(/^(\d+)\s*[xX*]\s*(\d+)$/);
+  if (!match) return null;
+  return `${match[1]}x${match[2]}`;
+}
+
+function getClosestPresetSize(ar: string | null, qualityLevel: JimengSizePreset): string {
+  const presets = SIZE_PRESETS[qualityLevel];
+  const defaultSize = presets["1:1"]!;
+
+  if (!ar) return defaultSize;
+
+  const parsed = parseAspectRatio(ar);
+  if (!parsed) return defaultSize;
+
+  const targetRatio = parsed.width / parsed.height;
+  let bestMatch = defaultSize;
+  let bestDiff = Infinity;
+
+  for (const [ratio, size] of Object.entries(presets)) {
+    const [w, h] = ratio.split(":").map(Number);
+    const presetRatio = w / h;
+    const diff = Math.abs(presetRatio - targetRatio);
+    if (diff < bestDiff) {
+      bestDiff = diff;
+      bestMatch = size;
+    }
+  }
+
+  return bestMatch;
+}
+
+function normalizeImageSizePreset(imageSize: string, ar: string | null): string | null {
+  const preset = imageSize.trim().toUpperCase();
+  if (preset === "1K") return getClosestPresetSize(ar, "normal");
+  if (preset === "2K") return getClosestPresetSize(ar, "2k");
+  if (preset === "4K") return getClosestPresetSize(ar, "4k");
+  return normalizeDimensions(imageSize);
+}
+
+function getImageSize(ar: string | null, quality: CliArgs["quality"], imageSize?: string | null): string {
+  if (imageSize) {
+    const normalizedSize = normalizeImageSizePreset(imageSize, ar);
+    if (normalizedSize) return normalizedSize;
+  }
+
+  // Default to 2K quality if not specified
+  const qualityLevel: JimengSizePreset = quality === "normal" ? "normal" : "2k";
+  return getClosestPresetSize(ar, qualityLevel);
+}
+
+/**
+ * Step 1: Submit async task to Volcengine Jimeng API
+ */
+async function submitTask(
+  prompt: string,
+  model: string,
+  size: string,
+  accessKey: string,
+  secretKey: string,
+  region: string
+): Promise<string> {
+  // Query parameters for submit endpoint
+  const query = {
+    Action: "CVSync2AsyncSubmitTask",
+    Version: "2022-08-31",
+  };
+  const endpoint = resolveEndpoint(query);
+
+  // Request body - Jimeng API expects width/height as separate integers
+  const [width, height] = size.split("x").map(Number);
+  const bodyObj = {
+    req_key: model,
+    prompt_text: prompt,
+    // Use separate width and height parameters instead of size string
+    width: width,
+    height: height,
+    // Optional: seed for reproducibility
+    // seed: Math.floor(Math.random() * 999999),
+  };
+
+  const body = JSON.stringify(bodyObj);
+
+  // Headers
+  const timestampHeader = new Date().toISOString().replace(/[:\-]|\.\d{3}/g, "");
+  const headers = {
+    "Content-Type": "application/json",
+    "X-Date": timestampHeader,
+    "Host": endpoint.host,
+  };
+
+  // Generate signature
+  const authorization = generateSignature(
+    "POST",
+    query,
+    headers,
+    body,
+    accessKey,
+    secretKey,
+    region,
+    "cv",
+    endpoint.canonicalUri
+  );
+
+  console.error(`Submitting task to Jimeng (${model})...`, { width, height });
+
+  const res = await fetch(endpoint.url, {
+    method: "POST",
+    headers: {
+      ...headers,
+      "Authorization": authorization,
+    },
+    body,
+  });
+
+  if (!res.ok) {
+    const err = await res.text();
+    throw new Error(`Jimeng API submit error (${res.status}): ${err}`);
+  }
+
+  const result = (await res.json()) as {
+    code?: number;
+    message?: string;
+    data?: {
+      task_id?: string;
+    };
+  };
+
+  // Volcengine API returns code 10000 for success
+  if (result.code !== 10000 || !result.data?.task_id) {
+    console.error("Submit response:", JSON.stringify(result, null, 2));
+    throw new Error(`Failed to submit task: ${result.message || "Unknown error"}`);
+  }
+
+  return result.data.task_id;
+}
+
+/**
+ * Step 2: Poll for task result
+ * Returns image data directly as Uint8Array
+ */
+async function pollForResult(
+  taskId: string,
+  model: string,
+  accessKey: string,
+  secretKey: string,
+  region: string
+): Promise<Uint8Array> {
+  const maxAttempts = 60;
+  const pollIntervalMs = 2000;
+
+  for (let attempt = 0; attempt < maxAttempts; attempt++) {
+    // Query parameters for result endpoint
+    const query = {
+      Action: "CVSync2AsyncGetResult",
+      Version: "2022-08-31",
+    };
+    const endpoint = resolveEndpoint(query);
+
+    // Request body - include req_key and task_id
+    const bodyObj = {
+      req_key: model,
+      task_id: taskId,
+    };
+
+    const body = JSON.stringify(bodyObj);
+
+    // Headers
+    const timestampHeader = new Date().toISOString().replace(/[:\-]|\.\d{3}/g, "");
+    const headers = {
+      "Content-Type": "application/json",
+      "X-Date": timestampHeader,
+      "Host": endpoint.host,
+    };
+
+    // Generate signature
+    const authorization = generateSignature(
+      "POST",
+      query,
+      headers,
+      body,
+      accessKey,
+      secretKey,
+      region,
+      "cv",
+      endpoint.canonicalUri
+    );
+
+    const res = await fetch(endpoint.url, {
+      method: "POST",
+      headers: {
+        ...headers,
+        "Authorization": authorization,
+      },
+      body,
+    });
+
+    if (!res.ok) {
+      const err = await res.text();
+      throw new Error(`Jimeng API poll error (${res.status}): ${err}`);
+    }
+
+    const result = (await res.json()) as {
+      code?: number;
+      message?: string;
+      data?: {
+        status?: string;
+        image_urls?: string[];
+        binary_data_base64?: string[];
+      };
+    };
+
+    // Volcengine API returns code 10000 for success
+    if (result.code === 10000 && result.data) {
+      const { status, image_urls, binary_data_base64 } = result.data;
+
+      // Check for base64 image data (preferred by Jimeng)
+      if (binary_data_base64 && binary_data_base64.length > 0) {
+        console.error("Image received as base64 data");
+        const base64Data = binary_data_base64[0]!;
+        // Convert base64 to Uint8Array
+        const binaryString = Buffer.from(base64Data, "base64").toString("binary");
+        const bytes = new Uint8Array(binaryString.length);
+        for (let i = 0; i < binaryString.length; i++) {
+          bytes[i] = binaryString.charCodeAt(i);
+        }
+        return bytes;
+      }
+
+      // Fallback to URL format
+      if (status === "done" && image_urls && image_urls.length > 0) {
+        // Download from URL
+        console.error(`Downloading image from ${image_urls[0]}...`);
+        const imgRes = await fetch(image_urls[0]!);
+        if (!imgRes.ok) {
+          throw new Error(`Failed to download image from ${image_urls[0]}`);
+        }
+        const buffer = await imgRes.arrayBuffer();
+        return new Uint8Array(buffer);
+      }
+
+      if (status === "in_queue" || status === "generating") {
+        console.error(`Task status: ${status} (${attempt + 1}/${maxAttempts})`);
+        await new Promise(resolve => setTimeout(resolve, pollIntervalMs));
+        continue;
+      }
+
+      if (status === "fail") {
+        throw new Error(`Jimeng task failed: ${result.message || "Generation failed"}`);
+      }
+    }
+
+    console.error("Poll response:", JSON.stringify(result, null, 2));
+    throw new Error(`Unexpected response during polling: ${result.message || "Unknown error"}`);
+  }
+
+  throw new Error("Task timeout: image generation took too long");
+}
+
+export async function generateImage(
+  prompt: string,
+  model: string,
+  args: CliArgs
+): Promise<Uint8Array> {
+  if (args.referenceImages.length > 0) {
+    throw new Error(
+      "Jimeng does not support reference images. Use --provider google, openai, openrouter, or replicate."
+    );
+  }
+
+  const accessKey = getAccessKey();
+  const secretKey = getSecretKey();
+  const region = getRegion();
+
+  if (!accessKey || !secretKey) {
+    throw new Error(
+      "JIMENG_ACCESS_KEY_ID and JIMENG_SECRET_ACCESS_KEY are required. " +
+      "Get your credentials from https://console.volcengine.com/iam/keymanage"
+    );
+  }
+
+  const size = getImageSize(args.aspectRatio, args.quality, args.imageSize);
+
+  // Step 1: Submit task
+  const taskId = await submitTask(prompt, model, size, accessKey, secretKey, region);
+
+  // Step 2: Poll for result (returns image data directly)
+  const imageData = await pollForResult(taskId, model, accessKey, secretKey, region);
+
+  console.error("Image generation complete!");
+  return imageData;
+}
@@ -8,7 +8,7 @@ export function getDefaultModel(): string {

 type OpenAIImageResponse = { data: Array<{ url?: string; b64_json?: string }> };

-function parseAspectRatio(ar: string): { width: number; height: number } | null {
+export function parseAspectRatio(ar: string): { width: number; height: number } | null {
  const match = ar.match(/^(\d+(?:\.\d+)?):(\d+(?:\.\d+)?)$/);
  if (!match) return null;
  const w = parseFloat(match[1]!);
@@ -23,7 +23,7 @@ type SizeMapping = {
  portrait: string;
 };

-function getOpenAISize(
+export function getOpenAISize(
  model: string,
  ar: string | null,
  quality: CliArgs["quality"]
@@ -201,7 +201,7 @@ async function generateWithOpenAIEdits(
  return extractImageFromResponse(result);
 }

-function getMimeType(filename: string): string {
+export function getMimeType(filename: string): string {
  const ext = path.extname(filename).toLowerCase();
  if (ext === ".jpg" || ext === ".jpeg") return "image/jpeg";
  if (ext === ".webp") return "image/webp";
@@ -209,7 +209,7 @@ function getMimeType(filename: string): string {
  return "image/png";
 }

-async function extractImageFromResponse(result: OpenAIImageResponse): Promise<Uint8Array> {
+export async function extractImageFromResponse(result: OpenAIImageResponse): Promise<Uint8Array> {
  const img = result.data[0];

  if (img?.b64_json) {
@@ -20,7 +20,7 @@ function getBaseUrl(): string {
  return base.replace(/\/+$/g, "");
 }

-function parseModelId(model: string): { owner: string; name: string; version: string | null } {
+export function parseModelId(model: string): { owner: string; name: string; version: string | null } {
  const [ownerName, version] = model.split(":");
  const parts = ownerName!.split("/");
  if (parts.length !== 2 || !parts[0] || !parts[1]) {
@@ -31,7 +31,7 @@ function parseModelId(model: string): { owner: string; name: string; version: st
  return { owner: parts[0], name: parts[1], version: version || null };
 }

-function buildInput(prompt: string, args: CliArgs, referenceImages: string[]): Record<string, unknown> {
+export function buildInput(prompt: string, args: CliArgs, referenceImages: string[]): Record<string, unknown> {
  const input: Record<string, unknown> = { prompt };

  if (args.aspectRatio) {
@@ -144,7 +144,7 @@ async function pollPrediction(apiToken: string, getUrl: string): Promise<Predict
  throw new Error(`Replicate prediction timed out after ${MAX_POLL_MS / 1000}s`);
 }

-function extractOutputUrl(prediction: PredictionResponse): string {
+export function extractOutputUrl(prediction: PredictionResponse): string {
  const output = prediction.output;

  if (typeof output === "string") return output;
@@ -0,0 +1,111 @@
+import type { CliArgs } from "../types";
+
+export function getDefaultModel(): string {
+  return process.env.SEEDREAM_IMAGE_MODEL || "doubao-seedream-5-0-260128";
+}
+
+function getApiKey(): string | null {
+  return process.env.ARK_API_KEY || null;
+}
+
+function getBaseUrl(): string {
+  return process.env.SEEDREAM_BASE_URL || "https://ark.cn-beijing.volces.com/api/v3";
+}
+
+/**
+ * Convert aspect ratio to Seedream size format
+ * Seedream API accepts: "2k" (default), "3k", or WIDTHxHEIGHT format
+ * Note: API uses lowercase "2k"/"3k", not "2K"/"3K"
+ */
+function getSeedreamSize(ar: string | null, quality: CliArgs["quality"], imageSize?: string | null): string {
+  // If explicit size is provided
+  if (imageSize) {
+    const upper = imageSize.toUpperCase();
+    if (upper === "2K" || upper === "3K") {
+      return upper.toLowerCase(); // API expects "2k" or "3k"
+    }
+    // For widthxheight format, pass through as-is
+    if (imageSize.includes("x")) {
+      return imageSize;
+    }
+  }
+
+  // Default to 2k (smallest option supported by API)
+  return "2k";
+}
+
+type SeedreamImageResponse = {
+  model: string;
+  created: number;
+  data: Array<{
+    url: string;
+    size: string;
+  }>;
+  usage: {
+    generated_images: number;
+    output_tokens: number;
+    total_tokens: number;
+  };
+};
+
+export async function generateImage(
+  prompt: string,
+  model: string,
+  args: CliArgs
+): Promise<Uint8Array> {
+  const apiKey = getApiKey();
+  if (!apiKey) {
+    throw new Error(
+      "ARK_API_KEY is required. " +
+        "Get your API key from https://console.volcengine.com/ark"
+    );
+  }
+
+  const baseUrl = getBaseUrl();
+  const size = getSeedreamSize(args.aspectRatio, args.quality, args.imageSize);
+
+  console.error(`Calling Seedream API (${model}) with size: ${size}`);
+
+  const requestBody = {
+    model,
+    prompt,
+    size,
+    output_format: "png",
+    watermark: false,
+  };
+
+  const response = await fetch(`${baseUrl}/images/generations`, {
+    method: "POST",
+    headers: {
+      "Content-Type": "application/json",
+      Authorization: `Bearer ${apiKey}`,
+    },
+    body: JSON.stringify(requestBody),
+  });
+
+  if (!response.ok) {
+    const err = await response.text();
+    throw new Error(`Seedream API error (${response.status}): ${err}`);
+  }
+
+  const result = (await response.json()) as SeedreamImageResponse;
+
+  if (!result.data || result.data.length === 0) {
+    throw new Error("No image data in Seedream response");
+  }
+
+  const imageUrl = result.data[0].url;
+  if (!imageUrl) {
+    throw new Error("No image URL in Seedream response");
+  }
+
+  // Download image from URL
+  console.error(`Downloading image from ${imageUrl}...`);
+  const imgResponse = await fetch(imageUrl);
+  if (!imgResponse.ok) {
+    throw new Error(`Failed to download image from ${imageUrl}`);
+  }
+
+  const buffer = await imgResponse.arrayBuffer();
+  return new Uint8Array(buffer);
+}
@@ -1,4 +1,4 @@
-export type Provider = "google" | "openai" | "openrouter" | "dashscope" | "replicate";
+export type Provider = "google" | "openai" | "openrouter" | "dashscope" | "replicate" | "jimeng" | "seedream";
 export type Quality = "normal" | "2k";

 export type CliArgs = {
@@ -53,6 +53,8 @@ export type ExtendConfig = {
    openrouter: string | null;
    dashscope: string | null;
    replicate: string | null;
+    jimeng: string | null;
+    seedream: string | null;
  };
  batch?: {
    max_workers?: number | null;
@@ -21,7 +21,8 @@ Scripts in `scripts/` subdirectory. `{baseDir}` = this SKILL.md's directory path

 | Script | Purpose |
 |--------|---------|
-| `scripts/chunk.ts` | Split markdown into chunks by AST blocks (sections, headings, paragraphs), with line/word fallback for oversized blocks. Use `--output-dir <dir>` to write chunks into `<dir>/chunks/` instead of `<source-dir>/chunks/` |
+| `scripts/main.ts` | CLI entry point. Default action splits markdown into chunks; also supports explicit `chunk` subcommand |
+| `scripts/chunk.ts` | Markdown chunking implementation used by `main.ts` and kept compatible for direct invocation |

 ## Preferences (EXTEND.md)

@@ -183,8 +184,8 @@ Before translating chunks:

 1. **Extract terminology**: Scan entire document for proper nouns, technical terms, recurring phrases
 2. **Build session glossary**: Merge extracted terms with loaded glossaries, establish consistent translations
-3. **Split into chunks**: Use `${BUN_X} {baseDir}/scripts/chunk.ts <file> [--max-words <chunk_max_words>] [--output-dir <output-dir>]`
-   - Parses markdown AST (headings, paragraphs, lists, code blocks, tables, etc.)
+3. **Split into chunks**: Use `${BUN_X} {baseDir}/scripts/main.ts <file> [--max-words <chunk_max_words>] [--output-dir <output-dir>]`
+   - Parses markdown blocks (headings, paragraphs, lists, code blocks, tables, etc.)
   - Splits at markdown block boundaries to preserve structure
   - If a single block exceeds the threshold, falls back to line splitting, then word splitting
 4. **Assemble translation prompt**:
@@ -2,160 +2,25 @@
  "lockfileVersion": 1,
  "workspaces": {
    "": {
+      "name": "baoyu-translate-chunk",
      "dependencies": {
-        "remark-frontmatter": "^5.0.0",
-        "remark-gfm": "^4.0.1",
-        "remark-parse": "^11.0.0",
-        "remark-stringify": "^11.0.0",
-        "unified": "^11.0.5",
+        "markdown-it": "14.1.1",
      },
    },
  },
  "packages": {
-    "@types/debug": ["@types/debug@4.1.12", "", { "dependencies": { "@types/ms": "*" } }, "sha512-vIChWdVG3LG1SMxEvI/AK+FWJthlrqlTu7fbrlywTkkaONwk/UAGaULXRlf8vkzFBLVm0zkMdCquhL5aOjhXPQ=="],
+    "argparse": ["argparse@2.0.1", "", {}, "sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q=="],

-    "@types/mdast": ["@types/mdast@4.0.4", "", { "dependencies": { "@types/unist": "*" } }, "sha512-kGaNbPh1k7AFzgpud/gMdvIm5xuECykRR+JnWKQno9TAXVa6WIVCGTPvYGekIDL4uwCZQSYbUxNBSb1aUo79oA=="],
+    "entities": ["entities@4.5.0", "", {}, "sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw=="],

-    "@types/ms": ["@types/ms@2.1.0", "", {}, "sha512-GsCCIZDE/p3i96vtEqx+7dBUGXrc7zeSK3wwPHIaRThS+9OhWIXRqzs4d6k1SVU8g91DrNRWxWUGhp5KXQb2VA=="],
+    "linkify-it": ["linkify-it@5.0.0", "", { "dependencies": { "uc.micro": "^2.0.0" } }, "sha512-5aHCbzQRADcdP+ATqnDuhhJ/MRIqDkZX5pyjFHRRysS8vZ5AbqGEoFIb6pYHPZ+L/OC2Lc+xT8uHVVR5CAK/wQ=="],

-    "@types/unist": ["@types/unist@3.0.3", "", {}, "sha512-ko/gIFJRv177XgZsZcBwnqJN5x/Gien8qNOn0D5bQU/zAzVf9Zt3BlcUiLqhV9y4ARk0GbT3tnUiPNgnTXzc/Q=="],
+    "markdown-it": ["markdown-it@14.1.1", "", { "dependencies": { "argparse": "^2.0.1", "entities": "^4.4.0", "linkify-it": "^5.0.0", "mdurl": "^2.0.0", "punycode.js": "^2.3.1", "uc.micro": "^2.1.0" }, "bin": { "markdown-it": "bin/markdown-it.mjs" } }, "sha512-BuU2qnTti9YKgK5N+IeMubp14ZUKUUw7yeJbkjtosvHiP0AZ5c8IAgEMk79D0eC8F23r4Ac/q8cAIFdm2FtyoA=="],

-    "bail": ["bail@2.0.2", "", {}, "sha512-0xO6mYd7JB2YesxDKplafRpsiOzPt9V02ddPCLbY1xYGPOX24NTyN50qnUxgCPcSoYMhKpAuBTjQoRZCAkUDRw=="],
+    "mdurl": ["mdurl@2.0.0", "", {}, "sha512-Lf+9+2r+Tdp5wXDXC4PcIBjTDtq4UKjCPMQhKIuzpJNW0b96kVqSwW0bT7FhRSfmAiFYgP+SCRvdrDozfh0U5w=="],

-    "ccount": ["ccount@2.0.1", "", {}, "sha512-eyrF0jiFpY+3drT6383f1qhkbGsLSifNAjA61IUjZjmLCWjItY6LB9ft9YhoDgwfmclB2zhu51Lc7+95b8NRAg=="],
+    "punycode.js": ["punycode.js@2.3.1", "", {}, "sha512-uxFIHU0YlHYhDQtV4R9J6a52SLx28BCjT+4ieh7IGbgwVJWO+km431c4yRlREUAsAmt/uMjQUyQHNEPf0M39CA=="],

-    "character-entities": ["character-entities@2.0.2", "", {}, "sha512-shx7oQ0Awen/BRIdkjkvz54PnEEI/EjwXDSIZp86/KKdbafHh1Df/RYGBhn4hbe2+uKC9FnT5UCEdyPz3ai9hQ=="],
-
-    "debug": ["debug@4.4.3", "", { "dependencies": { "ms": "^2.1.3" } }, "sha512-RGwwWnwQvkVfavKVt22FGLw+xYSdzARwm0ru6DhTVA3umU5hZc28V3kO4stgYryrTlLpuvgI9GiijltAjNbcqA=="],
-
-    "decode-named-character-reference": ["decode-named-character-reference@1.3.0", "", { "dependencies": { "character-entities": "^2.0.0" } }, "sha512-GtpQYB283KrPp6nRw50q3U9/VfOutZOe103qlN7BPP6Ad27xYnOIWv4lPzo8HCAL+mMZofJ9KEy30fq6MfaK6Q=="],
-
-    "dequal": ["dequal@2.0.3", "", {}, "sha512-0je+qPKHEMohvfRTCEo3CrPG6cAzAYgmzKyxRiYSSDkS6eGJdyVJm7WaYA5ECaAD9wLB2T4EEeymA5aFVcYXCA=="],
-
-    "devlop": ["devlop@1.1.0", "", { "dependencies": { "dequal": "^2.0.0" } }, "sha512-RWmIqhcFf1lRYBvNmr7qTNuyCt/7/ns2jbpp1+PalgE/rDQcBT0fioSMUpJ93irlUhC5hrg4cYqe6U+0ImW0rA=="],
-
-    "escape-string-regexp": ["escape-string-regexp@5.0.0", "", {}, "sha512-/veY75JbMK4j1yjvuUxuVsiS/hr/4iHs9FTT6cgTexxdE0Ly/glccBAkloH/DofkjRbZU3bnoj38mOmhkZ0lHw=="],
-
-    "extend": ["extend@3.0.2", "", {}, "sha512-fjquC59cD7CyW6urNXK0FBufkZcoiGG80wTuPujX590cB5Ttln20E2UB4S/WARVqhXffZl2LNgS+gQdPIIim/g=="],
-
-    "fault": ["fault@2.0.1", "", { "dependencies": { "format": "^0.2.0" } }, "sha512-WtySTkS4OKev5JtpHXnib4Gxiurzh5NCGvWrFaZ34m6JehfTUhKZvn9njTfw48t6JumVQOmrKqpmGcdwxnhqBQ=="],
-
-    "format": ["format@0.2.2", "", {}, "sha512-wzsgA6WOq+09wrU1tsJ09udeR/YZRaeArL9e1wPbFg3GG2yDnC2ldKpxs4xunpFF9DgqCqOIra3bc1HWrJ37Ww=="],
-
-    "is-plain-obj": ["is-plain-obj@4.1.0", "", {}, "sha512-+Pgi+vMuUNkJyExiMBt5IlFoMyKnr5zhJ4Uspz58WOhBF5QoIZkFyNHIbBAtHwzVAgk5RtndVNsDRN61/mmDqg=="],
-
-    "longest-streak": ["longest-streak@3.1.0", "", {}, "sha512-9Ri+o0JYgehTaVBBDoMqIl8GXtbWg711O3srftcHhZ0dqnETqLaoIK0x17fUw9rFSlK/0NlsKe0Ahhyl5pXE2g=="],
-
-    "markdown-table": ["markdown-table@3.0.4", "", {}, "sha512-wiYz4+JrLyb/DqW2hkFJxP7Vd7JuTDm77fvbM8VfEQdmSMqcImWeeRbHwZjBjIFki/VaMK2BhFi7oUUZeM5bqw=="],
-
-    "mdast-util-find-and-replace": ["mdast-util-find-and-replace@3.0.2", "", { "dependencies": { "@types/mdast": "^4.0.0", "escape-string-regexp": "^5.0.0", "unist-util-is": "^6.0.0", "unist-util-visit-parents": "^6.0.0" } }, "sha512-Tmd1Vg/m3Xz43afeNxDIhWRtFZgM2VLyaf4vSTYwudTyeuTneoL3qtWMA5jeLyz/O1vDJmmV4QuScFCA2tBPwg=="],
-
-    "mdast-util-from-markdown": ["mdast-util-from-markdown@2.0.3", "", { "dependencies": { "@types/mdast": "^4.0.0", "@types/unist": "^3.0.0", "decode-named-character-reference": "^1.0.0", "devlop": "^1.0.0", "mdast-util-to-string": "^4.0.0", "micromark": "^4.0.0", "micromark-util-decode-numeric-character-reference": "^2.0.0", "micromark-util-decode-string": "^2.0.0", "micromark-util-normalize-identifier": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0", "unist-util-stringify-position": "^4.0.0" } }, "sha512-W4mAWTvSlKvf8L6J+VN9yLSqQ9AOAAvHuoDAmPkz4dHf553m5gVj2ejadHJhoJmcmxEnOv6Pa8XJhpxE93kb8Q=="],
-
-    "mdast-util-frontmatter": ["mdast-util-frontmatter@2.0.1", "", { "dependencies": { "@types/mdast": "^4.0.0", "devlop": "^1.0.0", "escape-string-regexp": "^5.0.0", "mdast-util-from-markdown": "^2.0.0", "mdast-util-to-markdown": "^2.0.0", "micromark-extension-frontmatter": "^2.0.0" } }, "sha512-LRqI9+wdgC25P0URIJY9vwocIzCcksduHQ9OF2joxQoyTNVduwLAFUzjoopuRJbJAReaKrNQKAZKL3uCMugWJA=="],
-
-    "mdast-util-gfm": ["mdast-util-gfm@3.1.0", "", { "dependencies": { "mdast-util-from-markdown": "^2.0.0", "mdast-util-gfm-autolink-literal": "^2.0.0", "mdast-util-gfm-footnote": "^2.0.0", "mdast-util-gfm-strikethrough": "^2.0.0", "mdast-util-gfm-table": "^2.0.0", "mdast-util-gfm-task-list-item": "^2.0.0", "mdast-util-to-markdown": "^2.0.0" } }, "sha512-0ulfdQOM3ysHhCJ1p06l0b0VKlhU0wuQs3thxZQagjcjPrlFRqY215uZGHHJan9GEAXd9MbfPjFJz+qMkVR6zQ=="],
-
-    "mdast-util-gfm-autolink-literal": ["mdast-util-gfm-autolink-literal@2.0.1", "", { "dependencies": { "@types/mdast": "^4.0.0", "ccount": "^2.0.0", "devlop": "^1.0.0", "mdast-util-find-and-replace": "^3.0.0", "micromark-util-character": "^2.0.0" } }, "sha512-5HVP2MKaP6L+G6YaxPNjuL0BPrq9orG3TsrZ9YXbA3vDw/ACI4MEsnoDpn6ZNm7GnZgtAcONJyPhOP8tNJQavQ=="],
-
-    "mdast-util-gfm-footnote": ["mdast-util-gfm-footnote@2.1.0", "", { "dependencies": { "@types/mdast": "^4.0.0", "devlop": "^1.1.0", "mdast-util-from-markdown": "^2.0.0", "mdast-util-to-markdown": "^2.0.0", "micromark-util-normalize-identifier": "^2.0.0" } }, "sha512-sqpDWlsHn7Ac9GNZQMeUzPQSMzR6Wv0WKRNvQRg0KqHh02fpTz69Qc1QSseNX29bhz1ROIyNyxExfawVKTm1GQ=="],
-
-    "mdast-util-gfm-strikethrough": ["mdast-util-gfm-strikethrough@2.0.0", "", { "dependencies": { "@types/mdast": "^4.0.0", "mdast-util-from-markdown": "^2.0.0", "mdast-util-to-markdown": "^2.0.0" } }, "sha512-mKKb915TF+OC5ptj5bJ7WFRPdYtuHv0yTRxK2tJvi+BDqbkiG7h7u/9SI89nRAYcmap2xHQL9D+QG/6wSrTtXg=="],
-
-    "mdast-util-gfm-table": ["mdast-util-gfm-table@2.0.0", "", { "dependencies": { "@types/mdast": "^4.0.0", "devlop": "^1.0.0", "markdown-table": "^3.0.0", "mdast-util-from-markdown": "^2.0.0", "mdast-util-to-markdown": "^2.0.0" } }, "sha512-78UEvebzz/rJIxLvE7ZtDd/vIQ0RHv+3Mh5DR96p7cS7HsBhYIICDBCu8csTNWNO6tBWfqXPWekRuj2FNOGOZg=="],
-
-    "mdast-util-gfm-task-list-item": ["mdast-util-gfm-task-list-item@2.0.0", "", { "dependencies": { "@types/mdast": "^4.0.0", "devlop": "^1.0.0", "mdast-util-from-markdown": "^2.0.0", "mdast-util-to-markdown": "^2.0.0" } }, "sha512-IrtvNvjxC1o06taBAVJznEnkiHxLFTzgonUdy8hzFVeDun0uTjxxrRGVaNFqkU1wJR3RBPEfsxmU6jDWPofrTQ=="],
-
-    "mdast-util-phrasing": ["mdast-util-phrasing@4.1.0", "", { "dependencies": { "@types/mdast": "^4.0.0", "unist-util-is": "^6.0.0" } }, "sha512-TqICwyvJJpBwvGAMZjj4J2n0X8QWp21b9l0o7eXyVJ25YNWYbJDVIyD1bZXE6WtV6RmKJVYmQAKWa0zWOABz2w=="],
-
-    "mdast-util-to-markdown": ["mdast-util-to-markdown@2.1.2", "", { "dependencies": { "@types/mdast": "^4.0.0", "@types/unist": "^3.0.0", "longest-streak": "^3.0.0", "mdast-util-phrasing": "^4.0.0", "mdast-util-to-string": "^4.0.0", "micromark-util-classify-character": "^2.0.0", "micromark-util-decode-string": "^2.0.0", "unist-util-visit": "^5.0.0", "zwitch": "^2.0.0" } }, "sha512-xj68wMTvGXVOKonmog6LwyJKrYXZPvlwabaryTjLh9LuvovB/KAH+kvi8Gjj+7rJjsFi23nkUxRQv1KqSroMqA=="],
-
-    "mdast-util-to-string": ["mdast-util-to-string@4.0.0", "", { "dependencies": { "@types/mdast": "^4.0.0" } }, "sha512-0H44vDimn51F0YwvxSJSm0eCDOJTRlmN0R1yBh4HLj9wiV1Dn0QoXGbvFAWj2hSItVTlCmBF1hqKlIyUBVFLPg=="],
-
-    "micromark": ["micromark@4.0.2", "", { "dependencies": { "@types/debug": "^4.0.0", "debug": "^4.0.0", "decode-named-character-reference": "^1.0.0", "devlop": "^1.0.0", "micromark-core-commonmark": "^2.0.0", "micromark-factory-space": "^2.0.0", "micromark-util-character": "^2.0.0", "micromark-util-chunked": "^2.0.0", "micromark-util-combine-extensions": "^2.0.0", "micromark-util-decode-numeric-character-reference": "^2.0.0", "micromark-util-encode": "^2.0.0", "micromark-util-normalize-identifier": "^2.0.0", "micromark-util-resolve-all": "^2.0.0", "micromark-util-sanitize-uri": "^2.0.0", "micromark-util-subtokenize": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-zpe98Q6kvavpCr1NPVSCMebCKfD7CA2NqZ+rykeNhONIJBpc1tFKt9hucLGwha3jNTNI8lHpctWJWoimVF4PfA=="],
-
-    "micromark-core-commonmark": ["micromark-core-commonmark@2.0.3", "", { "dependencies": { "decode-named-character-reference": "^1.0.0", "devlop": "^1.0.0", "micromark-factory-destination": "^2.0.0", "micromark-factory-label": "^2.0.0", "micromark-factory-space": "^2.0.0", "micromark-factory-title": "^2.0.0", "micromark-factory-whitespace": "^2.0.0", "micromark-util-character": "^2.0.0", "micromark-util-chunked": "^2.0.0", "micromark-util-classify-character": "^2.0.0", "micromark-util-html-tag-name": "^2.0.0", "micromark-util-normalize-identifier": "^2.0.0", "micromark-util-resolve-all": "^2.0.0", "micromark-util-subtokenize": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-RDBrHEMSxVFLg6xvnXmb1Ayr2WzLAWjeSATAoxwKYJV94TeNavgoIdA0a9ytzDSVzBy2YKFK+emCPOEibLeCrg=="],
-
-    "micromark-extension-frontmatter": ["micromark-extension-frontmatter@2.0.0", "", { "dependencies": { "fault": "^2.0.0", "micromark-util-character": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-C4AkuM3dA58cgZha7zVnuVxBhDsbttIMiytjgsM2XbHAB2faRVaHRle40558FBN+DJcrLNCoqG5mlrpdU4cRtg=="],
-
-    "micromark-extension-gfm": ["micromark-extension-gfm@3.0.0", "", { "dependencies": { "micromark-extension-gfm-autolink-literal": "^2.0.0", "micromark-extension-gfm-footnote": "^2.0.0", "micromark-extension-gfm-strikethrough": "^2.0.0", "micromark-extension-gfm-table": "^2.0.0", "micromark-extension-gfm-tagfilter": "^2.0.0", "micromark-extension-gfm-task-list-item": "^2.0.0", "micromark-util-combine-extensions": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-vsKArQsicm7t0z2GugkCKtZehqUm31oeGBV/KVSorWSy8ZlNAv7ytjFhvaryUiCUJYqs+NoE6AFhpQvBTM6Q4w=="],
-
-    "micromark-extension-gfm-autolink-literal": ["micromark-extension-gfm-autolink-literal@2.1.0", "", { "dependencies": { "micromark-util-character": "^2.0.0", "micromark-util-sanitize-uri": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-oOg7knzhicgQ3t4QCjCWgTmfNhvQbDDnJeVu9v81r7NltNCVmhPy1fJRX27pISafdjL+SVc4d3l48Gb6pbRypw=="],
-
-    "micromark-extension-gfm-footnote": ["micromark-extension-gfm-footnote@2.1.0", "", { "dependencies": { "devlop": "^1.0.0", "micromark-core-commonmark": "^2.0.0", "micromark-factory-space": "^2.0.0", "micromark-util-character": "^2.0.0", "micromark-util-normalize-identifier": "^2.0.0", "micromark-util-sanitize-uri": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-/yPhxI1ntnDNsiHtzLKYnE3vf9JZ6cAisqVDauhp4CEHxlb4uoOTxOCJ+9s51bIB8U1N1FJ1RXOKTIlD5B/gqw=="],
-
-    "micromark-extension-gfm-strikethrough": ["micromark-extension-gfm-strikethrough@2.1.0", "", { "dependencies": { "devlop": "^1.0.0", "micromark-util-chunked": "^2.0.0", "micromark-util-classify-character": "^2.0.0", "micromark-util-resolve-all": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-ADVjpOOkjz1hhkZLlBiYA9cR2Anf8F4HqZUO6e5eDcPQd0Txw5fxLzzxnEkSkfnD0wziSGiv7sYhk/ktvbf1uw=="],
-
-    "micromark-extension-gfm-table": ["micromark-extension-gfm-table@2.1.1", "", { "dependencies": { "devlop": "^1.0.0", "micromark-factory-space": "^2.0.0", "micromark-util-character": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-t2OU/dXXioARrC6yWfJ4hqB7rct14e8f7m0cbI5hUmDyyIlwv5vEtooptH8INkbLzOatzKuVbQmAYcbWoyz6Dg=="],
-
-    "micromark-extension-gfm-tagfilter": ["micromark-extension-gfm-tagfilter@2.0.0", "", { "dependencies": { "micromark-util-types": "^2.0.0" } }, "sha512-xHlTOmuCSotIA8TW1mDIM6X2O1SiX5P9IuDtqGonFhEK0qgRI4yeC6vMxEV2dgyr2TiD+2PQ10o+cOhdVAcwfg=="],
-
-    "micromark-extension-gfm-task-list-item": ["micromark-extension-gfm-task-list-item@2.1.0", "", { "dependencies": { "devlop": "^1.0.0", "micromark-factory-space": "^2.0.0", "micromark-util-character": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-qIBZhqxqI6fjLDYFTBIa4eivDMnP+OZqsNwmQ3xNLE4Cxwc+zfQEfbs6tzAo2Hjq+bh6q5F+Z8/cksrLFYWQQw=="],
-
-    "micromark-factory-destination": ["micromark-factory-destination@2.0.1", "", { "dependencies": { "micromark-util-character": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-Xe6rDdJlkmbFRExpTOmRj9N3MaWmbAgdpSrBQvCFqhezUn4AHqJHbaEnfbVYYiexVSs//tqOdY/DxhjdCiJnIA=="],
-
-    "micromark-factory-label": ["micromark-factory-label@2.0.1", "", { "dependencies": { "devlop": "^1.0.0", "micromark-util-character": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-VFMekyQExqIW7xIChcXn4ok29YE3rnuyveW3wZQWWqF4Nv9Wk5rgJ99KzPvHjkmPXF93FXIbBp6YdW3t71/7Vg=="],
-
-    "micromark-factory-space": ["micromark-factory-space@2.0.1", "", { "dependencies": { "micromark-util-character": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-zRkxjtBxxLd2Sc0d+fbnEunsTj46SWXgXciZmHq0kDYGnck/ZSGj9/wULTV95uoeYiK5hRXP2mJ98Uo4cq/LQg=="],
-
-    "micromark-factory-title": ["micromark-factory-title@2.0.1", "", { "dependencies": { "micromark-factory-space": "^2.0.0", "micromark-util-character": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-5bZ+3CjhAd9eChYTHsjy6TGxpOFSKgKKJPJxr293jTbfry2KDoWkhBb6TcPVB4NmzaPhMs1Frm9AZH7OD4Cjzw=="],
-
-    "micromark-factory-whitespace": ["micromark-factory-whitespace@2.0.1", "", { "dependencies": { "micromark-factory-space": "^2.0.0", "micromark-util-character": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-Ob0nuZ3PKt/n0hORHyvoD9uZhr+Za8sFoP+OnMcnWK5lngSzALgQYKMr9RJVOWLqQYuyn6ulqGWSXdwf6F80lQ=="],
-
-    "micromark-util-character": ["micromark-util-character@2.1.1", "", { "dependencies": { "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-wv8tdUTJ3thSFFFJKtpYKOYiGP2+v96Hvk4Tu8KpCAsTMs6yi+nVmGh1syvSCsaxz45J6Jbw+9DD6g97+NV67Q=="],
-
-    "micromark-util-chunked": ["micromark-util-chunked@2.0.1", "", { "dependencies": { "micromark-util-symbol": "^2.0.0" } }, "sha512-QUNFEOPELfmvv+4xiNg2sRYeS/P84pTW0TCgP5zc9FpXetHY0ab7SxKyAQCNCc1eK0459uoLI1y5oO5Vc1dbhA=="],
-
-    "micromark-util-classify-character": ["micromark-util-classify-character@2.0.1", "", { "dependencies": { "micromark-util-character": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-K0kHzM6afW/MbeWYWLjoHQv1sgg2Q9EccHEDzSkxiP/EaagNzCm7T/WMKZ3rjMbvIpvBiZgwR3dKMygtA4mG1Q=="],
-
-    "micromark-util-combine-extensions": ["micromark-util-combine-extensions@2.0.1", "", { "dependencies": { "micromark-util-chunked": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-OnAnH8Ujmy59JcyZw8JSbK9cGpdVY44NKgSM7E9Eh7DiLS2E9RNQf0dONaGDzEG9yjEl5hcqeIsj4hfRkLH/Bg=="],
-
-    "micromark-util-decode-numeric-character-reference": ["micromark-util-decode-numeric-character-reference@2.0.2", "", { "dependencies": { "micromark-util-symbol": "^2.0.0" } }, "sha512-ccUbYk6CwVdkmCQMyr64dXz42EfHGkPQlBj5p7YVGzq8I7CtjXZJrubAYezf7Rp+bjPseiROqe7G6foFd+lEuw=="],
-
-    "micromark-util-decode-string": ["micromark-util-decode-string@2.0.1", "", { "dependencies": { "decode-named-character-reference": "^1.0.0", "micromark-util-character": "^2.0.0", "micromark-util-decode-numeric-character-reference": "^2.0.0", "micromark-util-symbol": "^2.0.0" } }, "sha512-nDV/77Fj6eH1ynwscYTOsbK7rR//Uj0bZXBwJZRfaLEJ1iGBR6kIfNmlNqaqJf649EP0F3NWNdeJi03elllNUQ=="],
-
-    "micromark-util-encode": ["micromark-util-encode@2.0.1", "", {}, "sha512-c3cVx2y4KqUnwopcO9b/SCdo2O67LwJJ/UyqGfbigahfegL9myoEFoDYZgkT7f36T0bLrM9hZTAaAyH+PCAXjw=="],
-
-    "micromark-util-html-tag-name": ["micromark-util-html-tag-name@2.0.1", "", {}, "sha512-2cNEiYDhCWKI+Gs9T0Tiysk136SnR13hhO8yW6BGNyhOC4qYFnwF1nKfD3HFAIXA5c45RrIG1ub11GiXeYd1xA=="],
-
-    "micromark-util-normalize-identifier": ["micromark-util-normalize-identifier@2.0.1", "", { "dependencies": { "micromark-util-symbol": "^2.0.0" } }, "sha512-sxPqmo70LyARJs0w2UclACPUUEqltCkJ6PhKdMIDuJ3gSf/Q+/GIe3WKl0Ijb/GyH9lOpUkRAO2wp0GVkLvS9Q=="],
-
-    "micromark-util-resolve-all": ["micromark-util-resolve-all@2.0.1", "", { "dependencies": { "micromark-util-types": "^2.0.0" } }, "sha512-VdQyxFWFT2/FGJgwQnJYbe1jjQoNTS4RjglmSjTUlpUMa95Htx9NHeYW4rGDJzbjvCsl9eLjMQwGeElsqmzcHg=="],
-
-    "micromark-util-sanitize-uri": ["micromark-util-sanitize-uri@2.0.1", "", { "dependencies": { "micromark-util-character": "^2.0.0", "micromark-util-encode": "^2.0.0", "micromark-util-symbol": "^2.0.0" } }, "sha512-9N9IomZ/YuGGZZmQec1MbgxtlgougxTodVwDzzEouPKo3qFWvymFHWcnDi2vzV1ff6kas9ucW+o3yzJK9YB1AQ=="],
-
-    "micromark-util-subtokenize": ["micromark-util-subtokenize@2.1.0", "", { "dependencies": { "devlop": "^1.0.0", "micromark-util-chunked": "^2.0.0", "micromark-util-symbol": "^2.0.0", "micromark-util-types": "^2.0.0" } }, "sha512-XQLu552iSctvnEcgXw6+Sx75GflAPNED1qx7eBJ+wydBb2KCbRZe+NwvIEEMM83uml1+2WSXpBAcp9IUCgCYWA=="],
-
-    "micromark-util-symbol": ["micromark-util-symbol@2.0.1", "", {}, "sha512-vs5t8Apaud9N28kgCrRUdEed4UJ+wWNvicHLPxCa9ENlYuAY31M0ETy5y1vA33YoNPDFTghEbnh6efaE8h4x0Q=="],
-
-    "micromark-util-types": ["micromark-util-types@2.0.2", "", {}, "sha512-Yw0ECSpJoViF1qTU4DC6NwtC4aWGt1EkzaQB8KPPyCRR8z9TWeV0HbEFGTO+ZY1wB22zmxnJqhPyTpOVCpeHTA=="],
-
-    "ms": ["ms@2.1.3", "", {}, "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="],
-
-    "remark-frontmatter": ["remark-frontmatter@5.0.0", "", { "dependencies": { "@types/mdast": "^4.0.0", "mdast-util-frontmatter": "^2.0.0", "micromark-extension-frontmatter": "^2.0.0", "unified": "^11.0.0" } }, "sha512-XTFYvNASMe5iPN0719nPrdItC9aU0ssC4v14mH1BCi1u0n1gAocqcujWUrByftZTbLhRtiKRyjYTSIOcr69UVQ=="],
-
-    "remark-gfm": ["remark-gfm@4.0.1", "", { "dependencies": { "@types/mdast": "^4.0.0", "mdast-util-gfm": "^3.0.0", "micromark-extension-gfm": "^3.0.0", "remark-parse": "^11.0.0", "remark-stringify": "^11.0.0", "unified": "^11.0.0" } }, "sha512-1quofZ2RQ9EWdeN34S79+KExV1764+wCUGop5CPL1WGdD0ocPpu91lzPGbwWMECpEpd42kJGQwzRfyov9j4yNg=="],
-
-    "remark-parse": ["remark-parse@11.0.0", "", { "dependencies": { "@types/mdast": "^4.0.0", "mdast-util-from-markdown": "^2.0.0", "micromark-util-types": "^2.0.0", "unified": "^11.0.0" } }, "sha512-FCxlKLNGknS5ba/1lmpYijMUzX2esxW5xQqjWxw2eHFfS2MSdaHVINFmhjo+qN1WhZhNimq0dZATN9pH0IDrpA=="],
-
-    "remark-stringify": ["remark-stringify@11.0.0", "", { "dependencies": { "@types/mdast": "^4.0.0", "mdast-util-to-markdown": "^2.0.0", "unified": "^11.0.0" } }, "sha512-1OSmLd3awB/t8qdoEOMazZkNsfVTeY4fTsgzcQFdXNq8ToTN4ZGwrMnlda4K6smTFKD+GRV6O48i6Z4iKgPPpw=="],
-
-    "trough": ["trough@2.2.0", "", {}, "sha512-tmMpK00BjZiUyVyvrBK7knerNgmgvcV/KLVyuma/SC+TQN167GrMRciANTz09+k3zW8L8t60jWO1GpfkZdjTaw=="],
-
-    "unified": ["unified@11.0.5", "", { "dependencies": { "@types/unist": "^3.0.0", "bail": "^2.0.0", "devlop": "^1.0.0", "extend": "^3.0.0", "is-plain-obj": "^4.0.0", "trough": "^2.0.0", "vfile": "^6.0.0" } }, "sha512-xKvGhPWw3k84Qjh8bI3ZeJjqnyadK+GEFtazSfZv/rKeTkTjOJho6mFqh2SM96iIcZokxiOpg78GazTSg8+KHA=="],
-
-    "unist-util-is": ["unist-util-is@6.0.1", "", { "dependencies": { "@types/unist": "^3.0.0" } }, "sha512-LsiILbtBETkDz8I9p1dQ0uyRUWuaQzd/cuEeS1hoRSyW5E5XGmTzlwY1OrNzzakGowI9Dr/I8HVaw4hTtnxy8g=="],
-
-    "unist-util-stringify-position": ["unist-util-stringify-position@4.0.0", "", { "dependencies": { "@types/unist": "^3.0.0" } }, "sha512-0ASV06AAoKCDkS2+xw5RXJywruurpbC4JZSm7nr7MOt1ojAzvyyaO+UxZf18j8FCF6kmzCZKcAgN/yu2gm2XgQ=="],
-
-    "unist-util-visit": ["unist-util-visit@5.1.0", "", { "dependencies": { "@types/unist": "^3.0.0", "unist-util-is": "^6.0.0", "unist-util-visit-parents": "^6.0.0" } }, "sha512-m+vIdyeCOpdr/QeQCu2EzxX/ohgS8KbnPDgFni4dQsfSCtpz8UqDyY5GjRru8PDKuYn7Fq19j1CQ+nJSsGKOzg=="],
-
-    "unist-util-visit-parents": ["unist-util-visit-parents@6.0.2", "", { "dependencies": { "@types/unist": "^3.0.0", "unist-util-is": "^6.0.0" } }, "sha512-goh1s1TBrqSqukSc8wrjwWhL0hiJxgA8m4kFxGlQ+8FYQ3C/m11FcTs4YYem7V664AhHVvgoQLk890Ssdsr2IQ=="],
-
-    "vfile": ["vfile@6.0.3", "", { "dependencies": { "@types/unist": "^3.0.0", "vfile-message": "^4.0.0" } }, "sha512-KzIbH/9tXat2u30jf+smMwFCsno4wHVdNmzFyL+T/L3UGqqk6JKfVqOFOZEpZSHADH1k40ab6NUIXZq422ov3Q=="],
-
-    "vfile-message": ["vfile-message@4.0.3", "", { "dependencies": { "@types/unist": "^3.0.0", "unist-util-stringify-position": "^4.0.0" } }, "sha512-QTHzsGd1EhbZs4AsQ20JX1rC3cOlt/IWJruk893DfLRr57lcnOeMaWG4K0JrRta4mIJZKth2Au3mM3u03/JWKw=="],
-
-    "zwitch": ["zwitch@2.0.4", "", {}, "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A=="],
+    "uc.micro": ["uc.micro@2.1.0", "", {}, "sha512-ARDJmphmdvUk6Glw7y9DQ2bFkKBHwQHLi2lsaH6PPmz/Ka9sFOBsBluozhDltWmnv9u/cF6Rt87znRTPV+yp/A=="],
  }
 }
@@ -1,137 +1,335 @@
-import { readFileSync, writeFileSync, mkdirSync } from "fs"
-import { basename, dirname, join } from "path"
-import { unified } from "unified"
-import remarkParse from "remark-parse"
-import remarkGfm from "remark-gfm"
-import remarkFrontmatter from "remark-frontmatter"
-import remarkStringify from "remark-stringify"
-import type { Root, Content } from "mdast"
+import { mkdirSync, readFileSync, writeFileSync } from "fs"
+import { dirname, join } from "path"
+import MarkdownIt from "markdown-it"

-const args = process.argv.slice(2)
-const file = args.find(a => !a.startsWith("--"))
-const maxWords = parseInt(args[args.indexOf("--max-words") + 1] || "5000")
-const outputDir = args.indexOf("--output-dir") !== -1 ? args[args.indexOf("--output-dir") + 1] : ""
+type BlockKind =
+  | "heading"
+  | "thematicBreak"
+  | "html"
+  | "code"
+  | "flow"

-if (!file) {
-  console.error("Usage: chunk.ts <file> [--max-words 5000]")
-  process.exit(1)
+interface Block {
+  kind: BlockKind
+  md: string
+  words: number
 }

-const content = readFileSync(file, "utf-8")
+interface Chunk {
+  blocks: Block[]
+  words: number
+}

-const tree = unified()
-  .use(remarkParse)
-  .use(remarkGfm)
-  .use(remarkFrontmatter, ["yaml"])
-  .parse(content)
+export interface ChunkCliOptions {
+  file: string
+  maxWords: number
+  outputDir: string
+}

-const stringify = unified()
-  .use(remarkStringify, { bullet: "-", emphasis: "*", strong: "*" })
-  .use(remarkGfm)
-  .use(remarkFrontmatter, ["yaml"])
+export interface ChunkResult {
+  source: string
+  chunks: number
+  output_dir: string
+  frontmatter: boolean
+  words_per_chunk: number[]
+}

-function nodeToMd(node: Content): string {
-  const root: Root = { type: "root", children: [node] }
-  return stringify.stringify(root).trim()
+const parser = new MarkdownIt({ html: true })
+
+export function formatChunkUsage(command: string): string {
+  return `Usage: ${command} <file> [--max-words 5000] [--output-dir <dir>]`
+}
+
+export function runChunkCli(args: string[], command = "chunk.ts"): number {
+  const parsed = parseChunkCliArgs(args)
+
+  if ("help" in parsed) {
+    console.log(formatChunkUsage(command))
+    return 0
+  }
+
+  if ("error" in parsed) {
+    console.error(parsed.error)
+    console.error(formatChunkUsage(command))
+    return 1
+  }
+
+  const result = chunkMarkdownFile(parsed.file, {
+    maxWords: parsed.maxWords,
+    outputDir: parsed.outputDir,
+  })
+
+  console.log(JSON.stringify(result))
+  return 0
+}
+
+export function chunkMarkdownFile(
+  file: string,
+  options: { maxWords?: number; outputDir?: string } = {}
+): ChunkResult {
+  const maxWords = options.maxWords ?? 5000
+  const outputDir = options.outputDir ?? ""
+
+  const rawContent = normalizeNewlines(readFileSync(file, "utf-8"))
+  const { frontmatter, body } = extractFrontmatter(rawContent)
+  const chunks = buildChunks(parseMarkdown(body), maxWords)
+
+  const dir = outputDir ? join(outputDir, "chunks") : join(dirname(file), "chunks")
+  mkdirSync(dir, { recursive: true })
+
+  if (frontmatter) {
+    writeFileSync(join(dir, "frontmatter.md"), frontmatter)
+  }
+
+  chunks.forEach((chunk, index) => {
+    const num = String(index + 1).padStart(2, "0")
+    writeFileSync(join(dir, `chunk-${num}.md`), chunk.blocks.map(block => block.md).join("\n\n"))
+  })
+
+  return {
+    source: file,
+    chunks: chunks.length,
+    output_dir: dir,
+    frontmatter: Boolean(frontmatter),
+    words_per_chunk: chunks.map(chunk => chunk.words),
+  }
+}
+
+function parseChunkCliArgs(args: string[]):
+  | ChunkCliOptions
+  | { help: true }
+  | { error: string } {
+  let file = ""
+  let maxWords = 5000
+  let outputDir = ""
+
+  for (let index = 0; index < args.length; index += 1) {
+    const arg = args[index]
+
+    if (arg === "-h" || arg === "--help") {
+      return { help: true }
+    }
+
+    if (arg === "--max-words") {
+      const value = args[index + 1]
+      if (!value) return { error: "Missing value for --max-words" }
+      maxWords = parsePositiveInt(value, 0)
+      if (maxWords <= 0) return { error: `Invalid --max-words value: ${value}` }
+      index += 1
+      continue
+    }
+
+    if (arg === "--output-dir") {
+      const value = args[index + 1]
+      if (!value) return { error: "Missing value for --output-dir" }
+      outputDir = value
+      index += 1
+      continue
+    }
+
+    if (arg.startsWith("-")) {
+      return { error: `Unknown option: ${arg}` }
+    }
+
+    if (!file) {
+      file = arg
+      continue
+    }
+
+    return { error: `Unexpected positional argument: ${arg}` }
+  }
+
+  if (!file) {
+    return { error: "Missing input file" }
+  }
+
+  return { file, maxWords, outputDir }
+}
+
+function parsePositiveInt(value: string | undefined, fallback: number): number {
+  if (!value) return fallback
+  const parsed = Number.parseInt(value, 10)
+  return Number.isFinite(parsed) && parsed > 0 ? parsed : fallback
+}
+
+function normalizeNewlines(text: string): string {
+  return text.replace(/^\uFEFF/, "").replace(/\r\n?/g, "\n")
+}
+
+function trimBoundaryBlankLines(text: string): string {
+  return text.replace(/^\n+/, "").replace(/\n+$/, "")
+}
+
+function extractFrontmatter(content: string): { frontmatter: string; body: string } {
+  const lines = content.split("\n")
+  if (lines[0] !== "---") {
+    return { frontmatter: "", body: content }
+  }
+
+  for (let index = 1; index < lines.length; index += 1) {
+    if (lines[index] === "---" || lines[index] === "...") {
+      return {
+        frontmatter: lines.slice(0, index + 1).join("\n"),
+        body: lines.slice(index + 1).join("\n").replace(/^\n+/, ""),
+      }
+    }
+  }
+
+  return { frontmatter: "", body: content }
+}
+
+function parseMarkdown(content: string): Block[] {
+  if (!content.trim()) return []
+
+  const lines = content.split("\n")
+  const tokens = parser.parse(content, {})
+  const blocks: Block[] = []
+
+  for (const token of tokens) {
+    if (!token.map || token.level !== 0) continue
+    if (token.nesting !== 1 && token.nesting !== 0) continue
+
+    const [startLine, endLine] = token.map
+    const md = trimBoundaryBlankLines(lines.slice(startLine, endLine).join("\n"))
+    if (!md) continue
+
+    blocks.push(makeBlock(tokenTypeToBlockKind(token.type), md))
+  }
+
+  if (blocks.length === 0) {
+    const body = trimBoundaryBlankLines(content)
+    if (body) {
+      blocks.push(makeBlock("flow", body))
+    }
+  }
+
+  return blocks
+}
+
+function tokenTypeToBlockKind(tokenType: string): BlockKind {
+  if (tokenType === "heading_open") return "heading"
+  if (tokenType === "hr") return "thematicBreak"
+  if (tokenType === "html_block") return "html"
+  if (tokenType === "fence" || tokenType === "code_block") return "code"
+  return "flow"
+}
+
+function makeBlock(kind: BlockKind, md: string): Block {
+  return {
+    kind,
+    md: trimBoundaryBlankLines(md),
+    words: countWords(md),
+  }
+}
+
+function buildChunks(blocks: Block[], maxWordsPerChunk: number): Chunk[] {
+  const sections = splitIntoSections(blocks)
+  const normalizedBlocks: Block[] = []
+
+  for (const section of sections) {
+    const sectionWords = section.reduce((sum, block) => sum + block.words, 0)
+    if (sectionWords <= maxWordsPerChunk) {
+      normalizedBlocks.push(makeBlock("flow", section.map(block => block.md).join("\n\n")))
+      continue
+    }
+
+    for (const block of section) {
+      normalizedBlocks.push(...splitOversizedBlock(block, maxWordsPerChunk))
+    }
+  }
+
+  const chunks: Chunk[] = []
+  let currentBlocks: Block[] = []
+  let currentWords = 0
+
+  for (const block of normalizedBlocks) {
+    if (currentWords + block.words > maxWordsPerChunk && currentBlocks.length > 0) {
+      chunks.push({ blocks: currentBlocks, words: currentWords })
+      currentBlocks = [block]
+      currentWords = block.words
+      continue
+    }
+
+    currentBlocks.push(block)
+    currentWords += block.words
+  }
+
+  if (currentBlocks.length > 0) {
+    chunks.push({ blocks: currentBlocks, words: currentWords })
+  }
+
+  return chunks
+}
+
+function splitIntoSections(blocks: Block[]): Block[][] {
+  const sections: Block[][] = []
+  let current: Block[] = []
+
+  for (const block of blocks) {
+    if (block.kind === "heading" && current.length > 0) {
+      sections.push(current)
+      current = [block]
+      continue
+    }
+
+    current.push(block)
+  }
+
+  if (current.length > 0) {
+    sections.push(current)
+  }
+
+  return sections
+}
+
+function splitOversizedBlock(block: Block, maxWordsPerChunk: number): Block[] {
+  if (block.words <= maxWordsPerChunk) return [block]
+
+  if (
+    block.kind === "heading"
+    || block.kind === "thematicBreak"
+    || block.kind === "html"
+    || block.kind === "code"
+  ) {
+    return [block]
+  }
+
+  const lines = block.md.split("\n")
+  if (lines.length <= 1) {
+    return [block]
+  }
+
+  const splitBlocks: Block[] = []
+  let buffer: string[] = []
+  let bufferWords = 0
+
+  for (const line of lines) {
+    const lineWords = countWords(line)
+    if (bufferWords + lineWords > maxWordsPerChunk && buffer.length > 0) {
+      splitBlocks.push(makeBlock(block.kind, buffer.join("\n")))
+      buffer = [line]
+      bufferWords = lineWords
+      continue
+    }
+
+    buffer.push(line)
+    bufferWords += lineWords
+  }
+
+  if (buffer.length > 0) {
+    splitBlocks.push(makeBlock(block.kind, buffer.join("\n")))
+  }
+
+  return splitBlocks
 }

 function countWords(text: string): number {
  const cleaned = text.replace(/[#*`\[\]()>|_~-]/g, " ")
  const cjk = cleaned.match(/[\u4e00-\u9fff\u3400-\u4dbf\uf900-\ufaff]/g)
  const latin = cleaned.match(/[a-zA-Z0-9]+/g)
-  return (cjk?.length || 0) + (latin?.length || 0)
+  return (cjk?.length ?? 0) + (latin?.length ?? 0)
 }

-interface Block {
-  md: string
-  words: number
+if (import.meta.main) {
+  process.exit(runChunkCli(process.argv.slice(2), process.argv[1] ?? "chunk.ts"))
 }
-
-function splitNodeToBlocks(node: Content): Block[] {
-  const md = nodeToMd(node)
-  const words = countWords(md)
-
-  if (words <= maxWords) return [{ md, words }]
-
-  if (node.type === "heading" || node.type === "thematicBreak" || node.type === "html") {
-    return [{ md, words }]
-  }
-
-  if ("children" in node && Array.isArray(node.children)) {
-    const blocks: Block[] = []
-    for (const child of node.children as Content[]) {
-      blocks.push(...splitNodeToBlocks(child))
-    }
-    return blocks
-  }
-
-  const lines = md.split("\n")
-  if (lines.length > 1) {
-    const blocks: Block[] = []
-    let buf: string[] = []
-    let bufWords = 0
-    for (const line of lines) {
-      const lw = countWords(line)
-      if (bufWords + lw > maxWords && buf.length > 0) {
-        blocks.push({ md: buf.join("\n"), words: bufWords })
-        buf = [line]
-        bufWords = lw
-      } else {
-        buf.push(line)
-        bufWords += lw
-      }
-    }
-    if (buf.length > 0) blocks.push({ md: buf.join("\n"), words: bufWords })
-    return blocks
-  }
-
-  return [{ md, words }]
-}
-
-let frontmatter = ""
-const blocks: Block[] = []
-
-for (const node of tree.children) {
-  if (node.type === "yaml") {
-    frontmatter = `---\n${node.value}\n---`
-    continue
-  }
-  blocks.push(...splitNodeToBlocks(node as Content))
-}
-
-const chunks: { blocks: Block[]; words: number }[] = []
-let cur: Block[] = []
-let curWords = 0
-
-for (const b of blocks) {
-  if (curWords + b.words > maxWords && cur.length > 0) {
-    chunks.push({ blocks: cur, words: curWords })
-    cur = [b]
-    curWords = b.words
-  } else {
-    cur.push(b)
-    curWords += b.words
-  }
-}
-if (cur.length > 0) chunks.push({ blocks: cur, words: curWords })
-
-const dir = outputDir ? join(outputDir, "chunks") : join(dirname(file), "chunks")
-mkdirSync(dir, { recursive: true })
-
-if (frontmatter) {
-  writeFileSync(join(dir, "frontmatter.md"), frontmatter)
-}
-
-chunks.forEach((chunk, i) => {
-  const num = String(i + 1).padStart(2, "0")
-  const out = join(dir, `chunk-${num}.md`)
-  writeFileSync(out, chunk.blocks.map(b => b.md).join("\n\n"))
-})
-
-console.log(JSON.stringify({
-  source: file,
-  chunks: chunks.length,
-  output_dir: dir,
-  frontmatter: !!frontmatter,
-  words_per_chunk: chunks.map(c => c.words)
-}))
@@ -0,0 +1,55 @@
+#!/usr/bin/env bun
+import path from "node:path"
+import process from "node:process"
+import { runChunkCli } from "./chunk.js"
+
+function formatScriptCommand(fallback: string): string {
+  const raw = process.argv[1]
+  const displayPath = raw
+    ? (() => {
+        const relative = path.relative(process.cwd(), raw)
+        return relative && !relative.startsWith("..") ? relative : raw
+      })()
+    : fallback
+
+  const quotedPath = displayPath.includes(" ")
+    ? `"${displayPath.replace(/"/g, '\\"')}"`
+    : displayPath
+
+  return `npx -y bun ${quotedPath}`
+}
+
+function printUsage(exitCode: number): never {
+  const cmd = formatScriptCommand("scripts/main.ts")
+  console.log(`Baoyu Translate CLI
+
+Usage:
+  ${cmd} <file> [--max-words 5000] [--output-dir <dir>]
+  ${cmd} chunk <file> [--max-words 5000] [--output-dir <dir>]
+
+Commands:
+  chunk              Split markdown into chunks
+
+Options:
+  --max-words <n>    Maximum words per chunk (default: 5000)
+  --output-dir <dir> Write chunks into <dir>/chunks/
+  -h, --help         Show help
+`)
+  process.exit(exitCode)
+}
+
+const args = process.argv.slice(2)
+
+if (args.length === 0) {
+  printUsage(1)
+}
+
+if (args[0] === "-h" || args[0] === "--help") {
+  printUsage(0)
+}
+
+if (args[0] === "chunk") {
+  process.exit(runChunkCli(args.slice(1), `${formatScriptCommand("scripts/main.ts")} chunk`))
+}
+
+process.exit(runChunkCli(args, formatScriptCommand("scripts/main.ts")))
@@ -1,9 +1,7 @@
 {
+  "name": "baoyu-translate-chunk",
+  "private": true,
  "dependencies": {
-    "remark-frontmatter": "^5.0.0",
-    "remark-gfm": "^4.0.1",
-    "remark-parse": "^11.0.0",
-    "remark-stringify": "^11.0.0",
-    "unified": "^11.0.5"
+    "markdown-it": "14.1.1"
  }
-}
+}
@@ -0,0 +1,110 @@
+import assert from "node:assert/strict";
+import fs from "node:fs/promises";
+import os from "node:os";
+import path from "node:path";
+import test from "node:test";
+
+import {
+  listReleaseFiles,
+  validateSelfContainedRelease,
+} from "../scripts/lib/release-files.mjs";
+
+async function makeTempDir(prefix) {
+  return fs.mkdtemp(path.join(os.tmpdir(), prefix));
+}
+
+async function writeFile(filePath, contents = "") {
+  await fs.mkdir(path.dirname(filePath), { recursive: true });
+  await fs.writeFile(filePath, contents);
+}
+
+async function writeJson(filePath, value) {
+  await writeFile(filePath, `${JSON.stringify(value, null, 2)}\n`);
+}
+
+test("listReleaseFiles skips generated paths and returns sorted relative paths", async (t) => {
+  const root = await makeTempDir("baoyu-release-files-");
+  t.after(() => fs.rm(root, { recursive: true, force: true }));
+
+  await writeFile(path.join(root, "b.txt"), "b");
+  await writeFile(path.join(root, "a.txt"), "a");
+  await writeFile(path.join(root, "nested", "keep.txt"), "keep");
+  await writeFile(path.join(root, "node_modules", "skip.js"), "skip");
+  await writeFile(path.join(root, ".git", "config"), "skip");
+  await writeFile(path.join(root, "dist", "artifact.txt"), "skip");
+  await writeFile(path.join(root, "out", "artifact.txt"), "skip");
+  await writeFile(path.join(root, "build", "artifact.txt"), "skip");
+  await writeFile(path.join(root, ".DS_Store"), "skip");
+  await writeFile(path.join(root, "bun.lockb"), "skip");
+
+  const files = await listReleaseFiles(root);
+
+  assert.deepEqual(
+    files.map((file) => file.relPath),
+    ["a.txt", "b.txt", "nested/keep.txt"],
+  );
+});
+
+test("validateSelfContainedRelease accepts file dependencies that stay within the release root", async (t) => {
+  const root = await makeTempDir("baoyu-release-ok-");
+  t.after(() => fs.rm(root, { recursive: true, force: true }));
+
+  await writeJson(path.join(root, "shared", "package.json"), {
+    name: "shared-package",
+    version: "1.0.0",
+  });
+  await writeFile(path.join(root, "shared", "index.js"), "export const shared = true;\n");
+  await writeJson(path.join(root, "skill", "package.json"), {
+    name: "test-skill",
+    version: "1.0.0",
+    dependencies: {
+      "shared-package": "file:../shared",
+    },
+  });
+
+  await assert.doesNotReject(() => validateSelfContainedRelease(root));
+});
+
+test("validateSelfContainedRelease rejects missing local file dependencies", async (t) => {
+  const root = await makeTempDir("baoyu-release-missing-");
+  t.after(() => fs.rm(root, { recursive: true, force: true }));
+
+  await writeJson(path.join(root, "skill", "package.json"), {
+    name: "test-skill",
+    version: "1.0.0",
+    dependencies: {
+      "shared-package": "file:../shared",
+    },
+  });
+
+  await assert.rejects(
+    () => validateSelfContainedRelease(root),
+    /Missing local dependency for release/,
+  );
+});
+
+test("validateSelfContainedRelease rejects file dependencies outside the release root", async (t) => {
+  const root = await makeTempDir("baoyu-release-root-");
+  const outside = await makeTempDir("baoyu-release-outside-");
+  t.after(() => fs.rm(root, { recursive: true, force: true }));
+  t.after(() => fs.rm(outside, { recursive: true, force: true }));
+
+  const skillDir = path.join(root, "skill");
+  const externalSpec = path
+    .relative(skillDir, outside)
+    .split(path.sep)
+    .join("/");
+
+  await writeJson(path.join(skillDir, "package.json"), {
+    name: "test-skill",
+    version: "1.0.0",
+    dependencies: {
+      "outside-package": `file:${externalSpec}`,
+    },
+  });
+
+  await assert.rejects(
+    () => validateSelfContainedRelease(root),
+    /Release target is not self-contained/,
+  );
+});
@@ -0,0 +1,70 @@
+import assert from "node:assert/strict";
+import fs from "node:fs/promises";
+import os from "node:os";
+import path from "node:path";
+import test from "node:test";
+
+import { syncSharedSkillPackages } from "../scripts/lib/shared-skill-packages.mjs";
+
+async function makeTempDir(prefix) {
+  return fs.mkdtemp(path.join(os.tmpdir(), prefix));
+}
+
+async function writeFile(filePath, contents = "") {
+  await fs.mkdir(path.dirname(filePath), { recursive: true });
+  await fs.writeFile(filePath, contents);
+}
+
+async function writeJson(filePath, value) {
+  await writeFile(filePath, `${JSON.stringify(value, null, 2)}\n`);
+}
+
+test("syncSharedSkillPackages vendors workspace packages into skill scripts", async (t) => {
+  const root = await makeTempDir("baoyu-sync-shared-");
+  t.after(() => fs.rm(root, { recursive: true, force: true }));
+
+  await writeJson(path.join(root, "packages", "baoyu-md", "package.json"), {
+    name: "baoyu-md",
+    version: "1.0.0",
+  });
+  await writeFile(
+    path.join(root, "packages", "baoyu-md", "src", "index.ts"),
+    "export const markdown = true;\n",
+  );
+
+  const consumerDir = path.join(root, "skills", "demo-skill", "scripts");
+  await writeJson(path.join(consumerDir, "package.json"), {
+    name: "demo-skill-scripts",
+    version: "1.0.0",
+    dependencies: {
+      "baoyu-md": "^1.0.0",
+      kleur: "^4.1.5",
+    },
+  });
+
+  const result = await syncSharedSkillPackages(root, { install: false });
+
+  assert.deepEqual(result.packageDirs, [consumerDir]);
+  assert.deepEqual(result.managedPaths, [
+    "skills/demo-skill/scripts/bun.lock",
+    "skills/demo-skill/scripts/package.json",
+    "skills/demo-skill/scripts/vendor",
+  ]);
+
+  const updatedPackageJson = JSON.parse(
+    await fs.readFile(path.join(consumerDir, "package.json"), "utf8"),
+  );
+  assert.equal(updatedPackageJson.dependencies["baoyu-md"], "file:./vendor/baoyu-md");
+  assert.equal(updatedPackageJson.dependencies.kleur, "^4.1.5");
+
+  const vendoredPackageJson = JSON.parse(
+    await fs.readFile(path.join(consumerDir, "vendor", "baoyu-md", "package.json"), "utf8"),
+  );
+  assert.equal(vendoredPackageJson.name, "baoyu-md");
+
+  const vendoredFile = await fs.readFile(
+    path.join(consumerDir, "vendor", "baoyu-md", "src", "index.ts"),
+    "utf8",
+  );
+  assert.match(vendoredFile, /markdown = true/);
+});
@@ -0,0 +1,301 @@
+import assert from "node:assert/strict";
+import fs from "node:fs/promises";
+import os from "node:os";
+import path from "node:path";
+import test from "node:test";
+
+import {
+  createTaskArgs,
+  detectProvider,
+  getConfiguredMaxWorkers,
+  getConfiguredProviderRateLimits,
+  getWorkerCount,
+  isRetryableGenerationError,
+  loadBatchTasks,
+  mergeConfig,
+  normalizeOutputImagePath,
+  parseArgs,
+  parseSimpleYaml,
+} from "../../../skills/baoyu-image-gen/scripts/main.ts";
+
+function makeArgs(overrides = {}) {
+  return {
+    prompt: null,
+    promptFiles: [],
+    imagePath: null,
+    provider: null,
+    model: null,
+    aspectRatio: null,
+    size: null,
+    quality: null,
+    imageSize: null,
+    referenceImages: [],
+    n: 1,
+    batchFile: null,
+    jobs: null,
+    json: false,
+    help: false,
+    ...overrides,
+  };
+}
+
+function useEnv(t, values) {
+  const previous = new Map();
+  for (const [key, value] of Object.entries(values)) {
+    previous.set(key, process.env[key]);
+    if (value == null) {
+      delete process.env[key];
+    } else {
+      process.env[key] = value;
+    }
+  }
+
+  t.after(() => {
+    for (const [key, value] of previous.entries()) {
+      if (value == null) {
+        delete process.env[key];
+      } else {
+        process.env[key] = value;
+      }
+    }
+  });
+}
+
+async function makeTempDir(prefix) {
+  return fs.mkdtemp(path.join(os.tmpdir(), prefix));
+}
+
+test("parseArgs parses the main image-gen CLI flags", () => {
+  const args = parseArgs([
+    "--promptfiles",
+    "prompts/system.md",
+    "prompts/content.md",
+    "--image",
+    "out/hero",
+    "--provider",
+    "openai",
+    "--quality",
+    "2k",
+    "--imageSize",
+    "4k",
+    "--ref",
+    "ref/one.png",
+    "ref/two.jpg",
+    "--n",
+    "3",
+    "--jobs",
+    "5",
+    "--json",
+  ]);
+
+  assert.deepEqual(args.promptFiles, ["prompts/system.md", "prompts/content.md"]);
+  assert.equal(args.imagePath, "out/hero");
+  assert.equal(args.provider, "openai");
+  assert.equal(args.quality, "2k");
+  assert.equal(args.imageSize, "4K");
+  assert.deepEqual(args.referenceImages, ["ref/one.png", "ref/two.jpg"]);
+  assert.equal(args.n, 3);
+  assert.equal(args.jobs, 5);
+  assert.equal(args.json, true);
+});
+
+test("parseArgs falls back to positional prompt and rejects invalid provider", () => {
+  const positional = parseArgs(["draw", "a", "cat"]);
+  assert.equal(positional.prompt, "draw a cat");
+
+  assert.throws(
+    () => parseArgs(["--provider", "stability"]),
+    /Invalid provider/,
+  );
+});
+
+test("parseSimpleYaml parses nested defaults and provider limits", () => {
+  const yaml = `
+version: 2
+default_provider: openrouter
+default_quality: normal
+default_aspect_ratio: '16:9'
+default_image_size: 2K
+default_model:
+  google: gemini-3-pro-image-preview
+  openai: gpt-image-1.5
+batch:
+  max_workers: 8
+  provider_limits:
+    google:
+      concurrency: 2
+      start_interval_ms: 900
+    openai:
+      concurrency: 4
+`;
+
+  const config = parseSimpleYaml(yaml);
+
+  assert.equal(config.version, 2);
+  assert.equal(config.default_provider, "openrouter");
+  assert.equal(config.default_quality, "normal");
+  assert.equal(config.default_aspect_ratio, "16:9");
+  assert.equal(config.default_image_size, "2K");
+  assert.equal(config.default_model?.google, "gemini-3-pro-image-preview");
+  assert.equal(config.default_model?.openai, "gpt-image-1.5");
+  assert.equal(config.batch?.max_workers, 8);
+  assert.deepEqual(config.batch?.provider_limits?.google, {
+    concurrency: 2,
+    start_interval_ms: 900,
+  });
+  assert.deepEqual(config.batch?.provider_limits?.openai, {
+    concurrency: 4,
+  });
+});
+
+test("mergeConfig only fills values missing from CLI args", () => {
+  const merged = mergeConfig(
+    makeArgs({
+      provider: "openai",
+      quality: null,
+      aspectRatio: null,
+      imageSize: "4K",
+    }),
+    {
+      default_provider: "google",
+      default_quality: "2k",
+      default_aspect_ratio: "3:2",
+      default_image_size: "2K",
+    },
+  );
+
+  assert.equal(merged.provider, "openai");
+  assert.equal(merged.quality, "2k");
+  assert.equal(merged.aspectRatio, "3:2");
+  assert.equal(merged.imageSize, "4K");
+});
+
+test("detectProvider rejects non-ref-capable providers and prefers Google first when multiple keys exist", (t) => {
+  assert.throws(
+    () =>
+      detectProvider(
+        makeArgs({
+          provider: "dashscope",
+          referenceImages: ["ref.png"],
+        }),
+      ),
+    /Reference images require a ref-capable provider/,
+  );
+
+  useEnv(t, {
+    GOOGLE_API_KEY: "google-key",
+    OPENAI_API_KEY: "openai-key",
+    OPENROUTER_API_KEY: null,
+    DASHSCOPE_API_KEY: null,
+    REPLICATE_API_TOKEN: null,
+    JIMENG_ACCESS_KEY_ID: null,
+    JIMENG_SECRET_ACCESS_KEY: null,
+    ARK_API_KEY: null,
+  });
+  assert.equal(detectProvider(makeArgs()), "google");
+});
+
+test("detectProvider selects an available ref-capable provider for reference-image tasks", (t) => {
+  useEnv(t, {
+    GOOGLE_API_KEY: null,
+    OPENAI_API_KEY: "openai-key",
+    OPENROUTER_API_KEY: null,
+    DASHSCOPE_API_KEY: null,
+    REPLICATE_API_TOKEN: null,
+    JIMENG_ACCESS_KEY_ID: null,
+    JIMENG_SECRET_ACCESS_KEY: null,
+    ARK_API_KEY: null,
+  });
+  assert.equal(
+    detectProvider(makeArgs({ referenceImages: ["ref.png"] })),
+    "openai",
+  );
+});
+
+test("batch worker and provider-rate-limit configuration prefer env over EXTEND config", (t) => {
+  useEnv(t, {
+    BAOYU_IMAGE_GEN_MAX_WORKERS: "12",
+    BAOYU_IMAGE_GEN_GOOGLE_CONCURRENCY: "5",
+    BAOYU_IMAGE_GEN_GOOGLE_START_INTERVAL_MS: "450",
+  });
+
+  const extendConfig = {
+    batch: {
+      max_workers: 7,
+      provider_limits: {
+        google: {
+          concurrency: 2,
+          start_interval_ms: 900,
+        },
+      },
+    },
+  };
+
+  assert.equal(getConfiguredMaxWorkers(extendConfig), 12);
+  assert.deepEqual(getConfiguredProviderRateLimits(extendConfig).google, {
+    concurrency: 5,
+    startIntervalMs: 450,
+  });
+});
+
+test("loadBatchTasks and createTaskArgs resolve batch-relative paths", async (t) => {
+  const root = await makeTempDir("baoyu-image-gen-batch-");
+  t.after(() => fs.rm(root, { recursive: true, force: true }));
+
+  const batchFile = path.join(root, "jobs", "batch.json");
+  await fs.mkdir(path.dirname(batchFile), { recursive: true });
+  await fs.writeFile(
+    batchFile,
+    JSON.stringify({
+      jobs: 2,
+      tasks: [
+        {
+          id: "hero",
+          promptFiles: ["prompts/hero.md"],
+          image: "out/hero",
+          ref: ["refs/hero.png"],
+          ar: "16:9",
+        },
+      ],
+    }),
+  );
+
+  const loaded = await loadBatchTasks(batchFile);
+  assert.equal(loaded.jobs, 2);
+  assert.equal(loaded.batchDir, path.dirname(batchFile));
+  assert.equal(loaded.tasks[0].id, "hero");
+
+  const taskArgs = createTaskArgs(
+    makeArgs({
+      provider: "replicate",
+      quality: "2k",
+      json: true,
+    }),
+    loaded.tasks[0],
+    loaded.batchDir,
+  );
+
+  assert.deepEqual(taskArgs.promptFiles, [
+    path.join(loaded.batchDir, "prompts/hero.md"),
+  ]);
+  assert.equal(taskArgs.imagePath, path.join(loaded.batchDir, "out/hero"));
+  assert.deepEqual(taskArgs.referenceImages, [
+    path.join(loaded.batchDir, "refs/hero.png"),
+  ]);
+  assert.equal(taskArgs.provider, "replicate");
+  assert.equal(taskArgs.aspectRatio, "16:9");
+  assert.equal(taskArgs.quality, "2k");
+  assert.equal(taskArgs.json, true);
+});
+
+test("path normalization, worker count, and retry classification follow expected rules", () => {
+  assert.match(normalizeOutputImagePath("out/sample"), /out[\\/]+sample\.png$/);
+  assert.match(normalizeOutputImagePath("out/sample.webp"), /out[\\/]+sample\.webp$/);
+
+  assert.equal(getWorkerCount(8, null, 3), 3);
+  assert.equal(getWorkerCount(2, 6, 5), 2);
+  assert.equal(getWorkerCount(5, 0, 4), 1);
+
+  assert.equal(isRetryableGenerationError(new Error("API error (401): denied")), false);
+  assert.equal(isRetryableGenerationError(new Error("socket hang up")), true);
+});
@@ -0,0 +1,26 @@
+import assert from "node:assert/strict";
+import test from "node:test";
+
+import {
+  getSizeFromAspectRatio,
+  normalizeSize,
+  parseAspectRatio,
+} from "../../../skills/baoyu-image-gen/scripts/providers/dashscope.ts";
+
+test("DashScope aspect-ratio parsing accepts numeric ratios only", () => {
+  assert.deepEqual(parseAspectRatio("3:2"), { width: 3, height: 2 });
+  assert.equal(parseAspectRatio("square"), null);
+  assert.equal(parseAspectRatio("-1:2"), null);
+});
+
+test("DashScope size selection picks the closest supported size per quality preset", () => {
+  assert.equal(getSizeFromAspectRatio(null, "normal"), "1024*1024");
+  assert.equal(getSizeFromAspectRatio("16:9", "normal"), "1280*720");
+  assert.equal(getSizeFromAspectRatio("16:9", "2k"), "2048*1152");
+  assert.equal(getSizeFromAspectRatio("invalid", "2k"), "1536*1536");
+});
+
+test("DashScope size normalization converts WxH into provider format", () => {
+  assert.equal(normalizeSize("1024x1024"), "1024*1024");
+  assert.equal(normalizeSize("2048*1152"), "2048*1152");
+});
@@ -0,0 +1,107 @@
+import assert from "node:assert/strict";
+import test from "node:test";
+
+import {
+  addAspectRatioToPrompt,
+  buildGoogleUrl,
+  buildPromptWithAspect,
+  extractInlineImageData,
+  extractPredictedImageData,
+  getGoogleImageSize,
+  isGoogleImagen,
+  isGoogleMultimodal,
+  normalizeGoogleModelId,
+} from "../../../skills/baoyu-image-gen/scripts/providers/google.ts";
+
+function useEnv(t, values) {
+  const previous = new Map();
+  for (const [key, value] of Object.entries(values)) {
+    previous.set(key, process.env[key]);
+    if (value == null) {
+      delete process.env[key];
+    } else {
+      process.env[key] = value;
+    }
+  }
+
+  t.after(() => {
+    for (const [key, value] of previous.entries()) {
+      if (value == null) {
+        delete process.env[key];
+      } else {
+        process.env[key] = value;
+      }
+    }
+  });
+}
+
+test("Google provider helpers normalize model IDs and select image size defaults", () => {
+  assert.equal(
+    normalizeGoogleModelId("models/gemini-3.1-flash-image-preview"),
+    "gemini-3.1-flash-image-preview",
+  );
+  assert.equal(isGoogleMultimodal("models/gemini-3-pro-image-preview"), true);
+  assert.equal(isGoogleImagen("imagen-3.0-generate-002"), true);
+  assert.equal(
+    getGoogleImageSize({ imageSize: null, quality: "2k" }),
+    "2K",
+  );
+  assert.equal(
+    getGoogleImageSize({ imageSize: "4K", quality: "normal" }),
+    "4K",
+  );
+});
+
+test("Google URL builder appends v1beta when the base URL does not already include it", (t) => {
+  useEnv(t, { GOOGLE_BASE_URL: "https://generativelanguage.googleapis.com" });
+  assert.equal(
+    buildGoogleUrl("models/demo:generateContent"),
+    "https://generativelanguage.googleapis.com/v1beta/models/demo:generateContent",
+  );
+});
+
+test("Google URL and prompt helpers preserve existing v1beta paths and aspect hints", (t) => {
+  useEnv(t, { GOOGLE_BASE_URL: "https://example.com/custom/v1beta/" });
+  assert.equal(
+    buildGoogleUrl("/models/demo:predict"),
+    "https://example.com/custom/v1beta/models/demo:predict",
+  );
+
+  assert.equal(
+    addAspectRatioToPrompt("A city skyline", "16:9"),
+    "A city skyline Aspect ratio: 16:9.",
+  );
+  assert.equal(
+    buildPromptWithAspect("A city skyline", "16:9", "2k"),
+    "A city skyline Aspect ratio: 16:9. High resolution 2048px.",
+  );
+});
+
+test("Google response extractors find inline and predicted image payloads", () => {
+  assert.equal(
+    extractInlineImageData({
+      candidates: [
+        {
+          content: {
+            parts: [{ inlineData: { data: "inline-base64" } }],
+          },
+        },
+      ],
+    }),
+    "inline-base64",
+  );
+
+  assert.equal(
+    extractPredictedImageData({
+      predictions: [{ image: { imageBytes: "predicted-base64" } }],
+    }),
+    "predicted-base64",
+  );
+
+  assert.equal(
+    extractPredictedImageData({
+      generatedImages: [{ bytesBase64Encoded: "generated-base64" }],
+    }),
+    "generated-base64",
+  );
+});
@@ -0,0 +1,56 @@
+import assert from "node:assert/strict";
+import test from "node:test";
+
+import {
+  extractImageFromResponse,
+  getMimeType,
+  getOpenAISize,
+  parseAspectRatio,
+} from "../../../skills/baoyu-image-gen/scripts/providers/openai.ts";
+
+test("OpenAI aspect-ratio parsing and size selection match model families", () => {
+  assert.deepEqual(parseAspectRatio("16:9"), { width: 16, height: 9 });
+  assert.equal(parseAspectRatio("wide"), null);
+  assert.equal(parseAspectRatio("0:1"), null);
+
+  assert.equal(getOpenAISize("dall-e-3", "16:9", "2k"), "1792x1024");
+  assert.equal(getOpenAISize("dall-e-3", "9:16", "normal"), "1024x1792");
+  assert.equal(getOpenAISize("dall-e-2", "16:9", "2k"), "1024x1024");
+  assert.equal(getOpenAISize("gpt-image-1.5", "16:9", "2k"), "1536x1024");
+  assert.equal(getOpenAISize("gpt-image-1.5", "4:3", "2k"), "1024x1024");
+});
+
+test("OpenAI mime-type detection covers supported reference image extensions", () => {
+  assert.equal(getMimeType("frame.png"), "image/png");
+  assert.equal(getMimeType("frame.jpg"), "image/jpeg");
+  assert.equal(getMimeType("frame.webp"), "image/webp");
+  assert.equal(getMimeType("frame.gif"), "image/gif");
+});
+
+test("OpenAI response extraction supports base64 and URL download flows", async (t) => {
+  const originalFetch = globalThis.fetch;
+  t.after(() => {
+    globalThis.fetch = originalFetch;
+  });
+
+  const fromBase64 = await extractImageFromResponse({
+    data: [{ b64_json: Buffer.from("hello").toString("base64") }],
+  });
+  assert.equal(Buffer.from(fromBase64).toString("utf8"), "hello");
+
+  globalThis.fetch = async () =>
+    new Response(Uint8Array.from([1, 2, 3]), {
+      status: 200,
+      headers: { "Content-Type": "application/octet-stream" },
+    });
+
+  const fromUrl = await extractImageFromResponse({
+    data: [{ url: "https://example.com/image.png" }],
+  });
+  assert.deepEqual([...fromUrl], [1, 2, 3]);
+
+  await assert.rejects(
+    () => extractImageFromResponse({ data: [{}] }),
+    /No image in response/,
+  );
+});
@@ -0,0 +1,88 @@
+import assert from "node:assert/strict";
+import test from "node:test";
+
+import {
+  buildInput,
+  extractOutputUrl,
+  parseModelId,
+} from "../../../skills/baoyu-image-gen/scripts/providers/replicate.ts";
+
+function makeArgs(overrides = {}) {
+  return {
+    aspectRatio: null,
+    quality: null,
+    n: 1,
+    ...overrides,
+  };
+}
+
+test("Replicate model parsing accepts official formats and rejects malformed ones", () => {
+  assert.deepEqual(parseModelId("google/nano-banana-pro"), {
+    owner: "google",
+    name: "nano-banana-pro",
+    version: null,
+  });
+  assert.deepEqual(parseModelId("owner/model:abc123"), {
+    owner: "owner",
+    name: "model",
+    version: "abc123",
+  });
+
+  assert.throws(
+    () => parseModelId("just-a-model-name"),
+    /Invalid Replicate model format/,
+  );
+});
+
+test("Replicate input builder maps aspect ratio, image count, quality, and refs", () => {
+  assert.deepEqual(
+    buildInput(
+      "A robot painter",
+      makeArgs({
+        aspectRatio: "16:9",
+        quality: "2k",
+        n: 3,
+      }),
+      ["data:image/png;base64,AAAA"],
+    ),
+    {
+      prompt: "A robot painter",
+      aspect_ratio: "16:9",
+      number_of_images: 3,
+      resolution: "2K",
+      output_format: "png",
+      image_input: ["data:image/png;base64,AAAA"],
+    },
+  );
+
+  assert.deepEqual(
+    buildInput("A robot painter", makeArgs({ quality: "normal" }), ["ref"]),
+    {
+      prompt: "A robot painter",
+      aspect_ratio: "match_input_image",
+      resolution: "1K",
+      output_format: "png",
+      image_input: ["ref"],
+    },
+  );
+});
+
+test("Replicate output extraction supports string, array, and object URLs", () => {
+  assert.equal(
+    extractOutputUrl({ output: "https://example.com/a.png" }),
+    "https://example.com/a.png",
+  );
+  assert.equal(
+    extractOutputUrl({ output: ["https://example.com/b.png"] }),
+    "https://example.com/b.png",
+  );
+  assert.equal(
+    extractOutputUrl({ output: { url: "https://example.com/c.png" } }),
+    "https://example.com/c.png",
+  );
+
+  assert.throws(
+    () => extractOutputUrl({ output: { invalid: true } }),
+    /Unexpected Replicate output format/,
+  );
+});
Author	SHA1	Message	Date
Jim Liu 宝玉	484b00109f	chore: release v1.66.0	2026-03-13 16:20:38 -05:00
Jim Liu 宝玉	ac217d5402	test: add test infrastructure with CI workflow and image-gen unit tests	2026-03-13 16:17:01 -05:00
Jim Liu 宝玉	70d9f63727	docs(baoyu-image-gen): add Jimeng and Seedream provider documentation	2026-03-13 16:16:57 -05:00
Jim Liu 宝玉	3398509d9e	refactor(baoyu-image-gen): export functions for testability and add module entry guard	2026-03-13 16:16:50 -05:00
Jim Liu 宝玉	a11613c11b	Merge pull request #88 from JimLiu/lindaifeng/main fix(image-gen): tighten Jimeng provider behavior	2026-03-13 15:58:07 -05:00
Jim Liu 宝玉	cb17cb9cca	fix(image-gen): tighten Jimeng provider behavior	2026-03-13 15:39:46 -05:00
Jim Liu 宝玉	88d6e09472	Merge pull request #87 from lindaifeng/main Integrate DreamGraph and DoubaoGraph	2026-03-13 15:35:15 -05:00
Jim Liu 宝玉	004236682d	chore: release v1.65.1	2026-03-13 15:29:52 -05:00
Jim Liu 宝玉	7e07c1bb84	refactor(baoyu-translate): replace remark/unified with markdown-it for chunk parsing Simplifies dependencies and adds main.ts CLI entry point with exported functions for programmatic reuse.	2026-03-13 15:27:25 -05:00
lindaifeng	c151f33775	Merge branch 'JimLiu:main' into main	2026-03-14 00:39:44 +08:00
ldf	32003da694	集成即梦生图和豆包生图	2026-03-14 00:37:46 +08:00