chore: release v1.73.2

将WeChat正文图片的格式转换和压缩逻辑提取到独立的wechat-image-processor模块，
使用jimp和@jsquash/webp在本地将WebP/BMP/GIF等不支持的格式转换为JPEG/PNG并
压缩到1MB以内，避免依赖material接口的回退策略。同时简化了news类型封面兜底逻辑。

.claude-plugin/marketplace.json

@@ -6,7 +6,7 @@
   },
   "metadata": {
     "description": "Skills shared by Baoyu for improving daily work efficiency",
-    "version": "1.70.0"
+    "version": "1.73.2"
   },
   "plugins": [
     {

CHANGELOG.md

@@ -2,6 +2,34 @@
 
 English | [中文](./CHANGELOG.zh.md)
 
+## 1.73.2 - 2026-03-20
+
+### Fixes
+- `baoyu-post-to-wechat`: fix body image upload to correctly use media/uploadimg API with format and size validation (by @AICreator-Wind)
+
+### Refactor
+- `baoyu-post-to-wechat`: extract image processor module for local format conversion (WebP/BMP/GIF → JPEG/PNG) instead of material API fallback
+
+## 1.73.1 - 2026-03-18
+
+### Refactor
+- `baoyu-danger-x-to-markdown`: migrate tests from bun:test to node:test
+
+## 1.73.0 - 2026-03-18
+
+### Features
+- `baoyu-danger-x-to-markdown`: add video media support for X articles with poster image and video link rendering
+
+## 1.72.0 - 2026-03-18
+
+### Features
+- `baoyu-danger-x-to-markdown`: add MARKDOWN entity support for rendering embedded markdown/code blocks in X articles
+
+## 1.71.0 - 2026-03-17
+
+### Features
+- `baoyu-image-gen`: add Seedream reference image support for 5.0/4.5/4.0 models with model-specific size validation
+
 ## 1.70.0 - 2026-03-17
 
 ### Features

CHANGELOG.zh.md

@@ -2,6 +2,34 @@
 
 [English](./CHANGELOG.md) | 中文
 
+## 1.73.2 - 2026-03-20
+
+### 修复
+- `baoyu-post-to-wechat`：修复正文图片上传，正确使用 media/uploadimg 接口并处理格式和大小限制 (by @AICreator-Wind)
+
+### 重构
+- `baoyu-post-to-wechat`：提取图片处理模块，本地转换不支持的格式（WebP/BMP/GIF → JPEG/PNG）而非回退到 material 接口
+
+## 1.73.1 - 2026-03-18
+
+### 重构
+- `baoyu-danger-x-to-markdown`：测试从 bun:test 迁移至 node:test
+
+## 1.73.0 - 2026-03-18
+
+### 新功能
+- `baoyu-danger-x-to-markdown`：支持 X 文章中的视频媒体，渲染封面图和视频链接
+
+## 1.72.0 - 2026-03-18
+
+### 新功能
+- `baoyu-danger-x-to-markdown`：支持渲染 X 文章中嵌入的 MARKDOWN 实体（代码块等）
+
+## 1.71.0 - 2026-03-17
+
+### 新功能
+- `baoyu-image-gen`：为 Seedream 5.0/4.5/4.0 模型添加参考图支持，并增加模型特定的尺寸校验
+
 ## 1.70.0 - 2026-03-17
 
 ### 新功能

CLAUDE.md

@@ -1,6 +1,6 @@
 # CLAUDE.md
 
-Claude Code marketplace plugin providing AI-powered content generation skills. Version: **1.70.0**.
+Claude Code marketplace plugin providing AI-powered content generation skills. Version: **1.73.2**.
 
 ## Architecture
 

README.md

@@ -695,7 +695,7 @@ AI SDK-based image generation using OpenAI, Google, OpenRouter, DashScope (Aliyu
 # 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)
+# With reference images (Google, OpenAI, OpenRouter, Replicate, or Seedream 5.0/4.5/4.0)
 /baoyu-image-gen --prompt "Make it blue" --image out.png --ref source.png
 ```
 
@@ -710,7 +710,7 @@ AI SDK-based image generation using OpenAI, Google, OpenRouter, DashScope (Aliyu
 | `--ar` | Aspect ratio (e.g., `16:9`, `1:1`, `4:3`) |
 | `--size` | Size (e.g., `1024x1024`) |
 | `--quality` | `normal` or `2k` (default: `2k`) |
-| `--ref` | Reference images (Google, OpenAI, OpenRouter or Replicate) |
+| `--ref` | Reference images (Google, OpenAI, OpenRouter, Replicate, or Seedream 5.0/4.5/4.0) |
 
 **Environment Variables** (see [Environment Configuration](#environment-configuration) for setup):
 | Variable | Description | Default |

README.zh.md

@@ -695,7 +695,7 @@ AI 驱动的生成后端。
 # 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）
+# 带参考图（Google、OpenAI、OpenRouter、Replicate 或 Seedream 5.0/4.5/4.0）
 /baoyu-image-gen --prompt "把它变成蓝色" --image out.png --ref source.png
 ```
 
@@ -710,7 +710,7 @@ AI 驱动的生成后端。
 | `--ar` | 宽高比（如 `16:9`、`1:1`、`4:3`） |
 | `--size` | 尺寸（如 `1024x1024`） |
 | `--quality` | `normal` 或 `2k`（默认：`2k`） |
-| `--ref` | 参考图片（Google、OpenAI、OpenRouter 或 Replicate） |
+| `--ref` | 参考图片（Google、OpenAI、OpenRouter、Replicate 或 Seedream 5.0/4.5/4.0） |
 
 **环境变量**（配置方法见[环境配置](#环境配置)）：
 | 变量 | 说明 | 默认值 |

skills/baoyu-danger-x-to-markdown/scripts/markdown.test.ts

@@ -0,0 +1,179 @@
+import assert from "node:assert/strict";
+import test from "node:test";
+
+import { formatArticleMarkdown } from "./markdown.js";
+
+test("formatArticleMarkdown renders MARKDOWN entities from atomic blocks", () => {
+  const article = {
+    title: "Atomic Markdown Example",
+    content_state: {
+      blocks: [
+        {
+          type: "unstyled",
+          text: "Before the snippet.",
+          entityRanges: [],
+        },
+        {
+          type: "atomic",
+          text: " ",
+          entityRanges: [{ key: 0, offset: 0, length: 1 }],
+        },
+        {
+          type: "unstyled",
+          text: "After the snippet.",
+          entityRanges: [],
+        },
+      ],
+      entityMap: {
+        "0": {
+          key: "5",
+          value: {
+            type: "MARKDOWN",
+            mutability: "Mutable",
+            data: {
+              markdown: "```python\nprint('hello from x article')\n```\n",
+            },
+          },
+        },
+      },
+    },
+  };
+
+  const { markdown } = formatArticleMarkdown(article);
+
+  assert.ok(markdown.includes("Before the snippet."));
+  assert.ok(markdown.includes("```python\nprint('hello from x article')\n```"));
+  assert.ok(markdown.includes("After the snippet."));
+  assert.strictEqual(markdown, `# Atomic Markdown Example
+
+Before the snippet.
+
+\`\`\`python
+print('hello from x article')
+\`\`\`
+
+After the snippet.`);
+});
+
+test("formatArticleMarkdown renders article video media as poster plus video link", () => {
+  const posterUrl = "https://pbs.twimg.com/amplify_video_thumb/123/img/poster.jpg";
+  const videoUrl = "https://video.twimg.com/amplify_video/123/vid/avc1/720x720/demo.mp4?tag=21";
+  const article = {
+    title: "Video Example",
+    content_state: {
+      blocks: [
+        {
+          type: "unstyled",
+          text: "Intro text.",
+          entityRanges: [],
+        },
+        {
+          type: "atomic",
+          text: " ",
+          entityRanges: [{ key: 0, offset: 0, length: 1 }],
+        },
+      ],
+      entityMap: {
+        "0": {
+          key: "0",
+          value: {
+            type: "MEDIA",
+            mutability: "Immutable",
+            data: {
+              caption: "Demo reel",
+              mediaItems: [{ mediaId: "vid-1" }],
+            },
+          },
+        },
+      },
+    },
+    media_entities: [
+      {
+        media_id: "vid-1",
+        media_info: {
+          __typename: "ApiVideo",
+          preview_image: {
+            original_img_url: posterUrl,
+          },
+          variants: [
+            {
+              content_type: "video/mp4",
+              bit_rate: 256000,
+              url: videoUrl,
+            },
+          ],
+        },
+      },
+    ],
+  };
+
+  const { markdown } = formatArticleMarkdown(article);
+
+  assert.ok(markdown.includes("Intro text."));
+  assert.ok(markdown.includes(`![Demo reel](${posterUrl})`));
+  assert.ok(markdown.includes(`[video](${videoUrl})`));
+  assert.ok(!markdown.includes(`![Demo reel](${videoUrl})`));
+  assert.ok(!markdown.includes("## Media"));
+});
+
+test("formatArticleMarkdown renders unused article videos in trailing media section", () => {
+  const posterUrl = "https://pbs.twimg.com/amplify_video_thumb/456/img/poster.jpg";
+  const videoUrl = "https://video.twimg.com/amplify_video/456/vid/avc1/1080x1080/demo.mp4?tag=21";
+  const article = {
+    title: "Trailing Media Example",
+    plain_text: "Body text.",
+    media_entities: [
+      {
+        media_id: "vid-2",
+        media_info: {
+          __typename: "ApiVideo",
+          preview_image: {
+            original_img_url: posterUrl,
+          },
+          variants: [
+            {
+              content_type: "video/mp4",
+              bit_rate: 832000,
+              url: videoUrl,
+            },
+          ],
+        },
+      },
+    ],
+  };
+
+  const { markdown, coverUrl } = formatArticleMarkdown(article);
+
+  assert.strictEqual(coverUrl, null);
+  assert.ok(markdown.includes("## Media"));
+  assert.ok(markdown.includes(`![video](${posterUrl})`));
+  assert.ok(markdown.includes(`[video](${videoUrl})`));
+});
+
+test("formatArticleMarkdown keeps coverUrl as preview image for video cover media", () => {
+  const posterUrl = "https://pbs.twimg.com/amplify_video_thumb/789/img/poster.jpg";
+  const videoUrl = "https://video.twimg.com/amplify_video/789/vid/avc1/720x720/demo.mp4?tag=21";
+  const article = {
+    title: "Video Cover Example",
+    plain_text: "Body text.",
+    cover_media: {
+      media_info: {
+        __typename: "ApiVideo",
+        preview_image: {
+          original_img_url: posterUrl,
+        },
+        variants: [
+          {
+            content_type: "video/mp4",
+            bit_rate: 1280000,
+            url: videoUrl,
+          },
+        ],
+      },
+    },
+  };
+
+  const { coverUrl } = formatArticleMarkdown(article);
+
+  assert.strictEqual(coverUrl, posterUrl);
+});

skills/baoyu-danger-x-to-markdown/scripts/markdown.ts

@@ -18,6 +18,17 @@ export type FormatArticleOptions = {
   referencedTweets?: Map<string, ReferencedTweetInfo>;
 };
 
+type ResolvedMediaAsset =
+  | {
+      kind: "image";
+      url: string;
+    }
+  | {
+      kind: "video";
+      url: string;
+      posterUrl?: string;
+    };
+
 function coerceArticleEntity(value: unknown): ArticleEntity | null {
   if (!value || typeof value !== "object") return null;
   const candidate = value as ArticleEntity;
@@ -109,58 +120,127 @@ function resolveEntityEntry(
   return entityMap[String(entityKey)];
 }
 
-function resolveMediaUrl(info?: ArticleMediaInfo): string | undefined {
+function resolveVideoUrl(info?: ArticleMediaInfo): string | undefined {
   if (!info) return undefined;
-  if (info.original_img_url) return info.original_img_url;
-  if (info.preview_image?.original_img_url) return info.preview_image.original_img_url;
   const variants = info.variants ?? [];
   const mp4 = variants
     .filter((variant) => variant?.content_type?.includes("video"))
     .sort((a, b) => (b.bit_rate ?? 0) - (a.bit_rate ?? 0))[0];
-  return mp4?.url ?? variants[0]?.url;
+  return mp4?.url ?? variants.find((variant) => typeof variant?.url === "string")?.url;
 }
 
-function buildMediaById(article: ArticleEntity): Map<string, string> {
+function resolveMediaAsset(info?: ArticleMediaInfo): ResolvedMediaAsset | undefined {
-  const map = new Map<string, string>();
+  if (!info) return undefined;
+
+  const posterUrl = info.preview_image?.original_img_url ?? info.original_img_url;
+  const videoUrl = resolveVideoUrl(info);
+  if (videoUrl) {
+    return {
+      kind: "video",
+      url: videoUrl,
+      posterUrl,
+    };
+  }
+
+  const imageUrl = info.original_img_url ?? info.preview_image?.original_img_url;
+  if (imageUrl) {
+    return {
+      kind: "image",
+      url: imageUrl,
+    };
+  }
+
+  return undefined;
+}
+
+function resolveFallbackMediaAsset(rawUrl?: string): ResolvedMediaAsset | undefined {
+  if (!rawUrl) return undefined;
+
+  if (/^https:\/\/video\.twimg\.com\//i.test(rawUrl) || /\.(mp4|m4v|mov|webm)(?:$|[?#])/i.test(rawUrl)) {
+    return {
+      kind: "video",
+      url: rawUrl,
+    };
+  }
+
+  return {
+    kind: "image",
+    url: rawUrl,
+  };
+}
+
+function resolveCoverUrl(info?: ArticleMediaInfo): string | undefined {
+  if (!info) return undefined;
+  return info.original_img_url ?? info.preview_image?.original_img_url;
+}
+
+function buildMediaIdentity(asset: ResolvedMediaAsset): string {
+  return asset.kind === "video"
+    ? `video:${asset.url}:${asset.posterUrl ?? ""}`
+    : `image:${asset.url}`;
+}
+
+function renderMediaLines(
+  asset: ResolvedMediaAsset,
+  altText: string,
+  usedUrls: Set<string>
+): string[] {
+  if (asset.kind === "video") {
+    const lines: string[] = [];
+    if (asset.posterUrl && !usedUrls.has(asset.posterUrl)) {
+      usedUrls.add(asset.posterUrl);
+      lines.push(`![${altText || "video"}](${asset.posterUrl})`);
+    }
+    if (!usedUrls.has(asset.url)) {
+      usedUrls.add(asset.url);
+      lines.push(`[video](${asset.url})`);
+    }
+    return lines;
+  }
+
+  if (usedUrls.has(asset.url)) {
+    return [];
+  }
+
+  usedUrls.add(asset.url);
+  return [`![${altText}](${asset.url})`];
+}
+
+function buildMediaById(article: ArticleEntity): Map<string, ResolvedMediaAsset> {
+  const map = new Map<string, ResolvedMediaAsset>();
   for (const entity of article.media_entities ?? []) {
     if (!entity?.media_id) continue;
-    const url = resolveMediaUrl(entity.media_info);
+    const asset = resolveMediaAsset(entity.media_info);
-    if (url) {
+    if (asset) {
-      map.set(entity.media_id, url);
+      map.set(entity.media_id, asset);
     }
   }
   return map;
 }
 
-function collectMediaUrls(
+function collectMediaAssets(article: ArticleEntity): ResolvedMediaAsset[] {
-  article: ArticleEntity,
+  const assets: ResolvedMediaAsset[] = [];
-  usedUrls: Set<string>,
+  const seen = new Set<string>();
-  excludeUrl?: string
+  const addAsset = (asset?: ResolvedMediaAsset) => {
-): string[] {
+    if (!asset) return;
-  const urls: string[] = [];
+    const identity = buildMediaIdentity(asset);
-  const addUrl = (url?: string) => {
+    if (seen.has(identity)) return;
-    if (!url) return;
+    seen.add(identity);
-    if (excludeUrl && url === excludeUrl) {
+    assets.push(asset);
-      usedUrls.add(url);
-      return;
-    }
-    if (usedUrls.has(url)) return;
-    usedUrls.add(url);
-    urls.push(url);
   };
 
   for (const entity of article.media_entities ?? []) {
-    addUrl(resolveMediaUrl(entity?.media_info));
+    addAsset(resolveMediaAsset(entity?.media_info));
   }
 
-  return urls;
+  return assets;
 }
 
 function resolveEntityMediaLines(
   entityKey: number | undefined,
   entityMap: ArticleContentState["entityMap"] | undefined,
   entityLookup: EntityLookup,
-  mediaById: Map<string, string>,
+  mediaById: Map<string, ResolvedMediaAsset>,
   usedUrls: Set<string>
 ): string[] {
   if (entityKey === undefined) return [];
@@ -182,17 +262,16 @@ function resolveEntityMediaLines(
         : typeof item?.media_id === "string"
           ? item.media_id
           : undefined;
-    const url = mediaId ? mediaById.get(mediaId) : undefined;
+    const asset = mediaId ? mediaById.get(mediaId) : undefined;
-    if (url && !usedUrls.has(url)) {
+    if (asset) {
-      usedUrls.add(url);
+      lines.push(...renderMediaLines(asset, altText, usedUrls));
-      lines.push(`![${altText}](${url})`);
     }
   }
 
   const fallbackUrl = typeof value.data?.url === "string" ? value.data.url : undefined;
-  if (fallbackUrl && !usedUrls.has(fallbackUrl)) {
+  const fallbackAsset = resolveFallbackMediaAsset(fallbackUrl);
-    usedUrls.add(fallbackUrl);
+  if (fallbackAsset) {
-    lines.push(`![${altText}](${fallbackUrl})`);
+    lines.push(...renderMediaLines(fallbackAsset, altText, usedUrls));
   }
 
   return lines;
@@ -237,6 +316,22 @@ function resolveEntityTweetLines(
   return lines;
 }
 
+function resolveEntityMarkdownLines(
+  entityKey: number | undefined,
+  entityMap: ArticleContentState["entityMap"] | undefined,
+  entityLookup: EntityLookup
+): string[] {
+  if (entityKey === undefined) return [];
+  const entry = resolveEntityEntry(entityKey, entityMap, entityLookup);
+  const value = entry?.value;
+  if (!value || value.type !== "MARKDOWN") return [];
+
+  const markdown = typeof value.data?.markdown === "string" ? value.data.markdown : "";
+  const normalized = markdown.replace(/\r\n/g, "\n").trimEnd();
+  if (!normalized) return [];
+  return normalized.split("\n");
+}
+
 function buildMediaLinkMap(
   entityMap: ArticleContentState["entityMap"] | undefined
 ): Map<number, string> {
@@ -330,7 +425,7 @@ function renderContentBlocks(
   blocks: ArticleBlock[],
   entityMap: ArticleContentState["entityMap"] | undefined,
   entityLookup: EntityLookup,
-  mediaById: Map<string, string>,
+  mediaById: Map<string, ResolvedMediaAsset>,
   usedUrls: Set<string>,
   mediaLinkMap: Map<number, string>,
   referencedTweets?: Map<string, ReferencedTweetInfo>
@@ -397,6 +492,16 @@ function renderContentBlocks(
     return [...new Set(linkLines)];
   };
 
+  const collectMarkdownLines = (block: ArticleBlock): string[] => {
+    const ranges = Array.isArray(block.entityRanges) ? block.entityRanges : [];
+    const markdownLines: string[] = [];
+    for (const range of ranges) {
+      if (typeof range?.key !== "number") continue;
+      markdownLines.push(...resolveEntityMarkdownLines(range.key, entityMap, entityLookup));
+    }
+    return markdownLines;
+  };
+
   const pushTrailingMedia = (mediaLines: string[]) => {
     if (mediaLines.length > 0) {
       pushBlock(mediaLines, "media");
@@ -441,6 +546,11 @@ function renderContentBlocks(
         pushBlock(tweetLines, "quote");
       }
 
+      const markdownLines = collectMarkdownLines(block);
+      if (markdownLines.length > 0) {
+        pushBlock(markdownLines, "text");
+      }
+
       const mediaLines = collectMediaLines(block);
       if (mediaLines.length > 0) {
         pushBlock(mediaLines, "media");
@@ -571,7 +681,7 @@ export function formatArticleMarkdown(
     lines.push(`# ${title}`);
   }
 
-  const coverUrl = resolveMediaUrl(candidate.cover_media?.media_info) ?? null;
+  const coverUrl = resolveCoverUrl(candidate.cover_media?.media_info) ?? null;
   if (coverUrl) {
     usedUrls.add(coverUrl);
   }
@@ -602,12 +712,13 @@ export function formatArticleMarkdown(
     lines.push(candidate.preview_text.trim());
   }
 
-  const mediaUrls = collectMediaUrls(candidate, usedUrls, coverUrl ?? undefined);
+  const trailingMediaLines: string[] = [];
-  if (mediaUrls.length > 0) {
+  for (const asset of collectMediaAssets(candidate)) {
+    trailingMediaLines.push(...renderMediaLines(asset, "", usedUrls));
+  }
+  if (trailingMediaLines.length > 0) {
     lines.push("", "## Media", "");
-    for (const url of mediaUrls) {
+    lines.push(...trailingMediaLines);
-      lines.push(`![](${url})`);
-    }
   }
 
   return { markdown: lines.join("\n").trimEnd(), coverUrl };

skills/baoyu-danger-x-to-markdown/scripts/media-localizer.ts

@@ -202,6 +202,13 @@ function toHighResUrl(rawUrl: string): string {
   }
 }
 
+function isPlausibleMediaUrl(rawUrl: string): boolean {
+  const ext = resolveExtensionFromUrl(rawUrl);
+  if (ext && (IMAGE_EXTENSIONS.has(ext) || VIDEO_EXTENSIONS.has(ext))) return true;
+  if (resolveKindFromHostname(rawUrl) !== undefined) return true;
+  return false;
+}
+
 function collectMarkdownLinkCandidates(markdown: string): MarkdownLinkCandidate[] {
   const candidates: MarkdownLinkCandidate[] = [];
   const seen = new Set<string>();
@@ -221,10 +228,12 @@ function collectMarkdownLinkCandidates(markdown: string): MarkdownLinkCandidate[
     const label = match[1] ?? "";
     const rawUrl = match[3] ?? "";
     if (!rawUrl || seen.has(rawUrl)) continue;
+    const isImage = label.startsWith("![");
+    if (!isImage && !isPlausibleMediaUrl(rawUrl)) continue;
     seen.add(rawUrl);
     candidates.push({
       url: rawUrl,
-      hint: label.startsWith("![") ? "image" : "unknown",
+      hint: isImage ? "image" : "unknown",
     });
   }
 

skills/baoyu-danger-x-to-markdown/scripts/types.ts

@@ -38,6 +38,7 @@ export type ArticleEntityMapEntry = {
     mutability?: string;
     data?: {
       caption?: string;
+      markdown?: string;
       mediaItems?: ArticleEntityMapMediaItem[];
       url?: string;
       tweetId?: string;

skills/baoyu-image-gen/SKILL.md

@@ -1,7 +1,7 @@
 ---
 name: baoyu-image-gen
 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
+version: 1.56.3
 metadata:
   openclaw:
     homepage: https://github.com/JimLiu/baoyu-skills#baoyu-image-gen
@@ -74,7 +74,7 @@ ${BUN_X} {baseDir}/scripts/main.ts --prompt "A cat" --image out.png --quality 2k
 # From prompt files
 ${BUN_X} {baseDir}/scripts/main.ts --promptfiles system.md content.md --image out.png
 
-# With reference images (Google, OpenAI, OpenRouter, or Replicate)
+# With reference images (Google, OpenAI, OpenRouter, Replicate, or Seedream 4.0/4.5/5.0)
 ${BUN_X} {baseDir}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png
 
 # With reference images (explicit provider/model)
@@ -153,7 +153,7 @@ Paths in `promptFiles`, `image`, and `ref` are resolved relative to the batch fi
 | `--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. Not supported by Jimeng or Seedream |
+| `--ref <files...>` | Reference images. Supported by Google multimodal, OpenAI GPT Image edits, OpenRouter multimodal models, Replicate, and Seedream 5.0/4.5/4.0. Not supported by Jimeng, Seedream 3.0, or removed SeedEdit 3.0 |
 | `--n <count>` | Number of images |
 | `--json` | JSON output |
 

skills/baoyu-image-gen/scripts/main.test.ts

@@ -216,6 +216,39 @@ test("detectProvider selects an available ref-capable provider for reference-ima
   );
 });
 
+test("detectProvider infers Seedream from model id and allows Seedream reference-image workflows", (t) => {
+  useEnv(t, {
+    GOOGLE_API_KEY: null,
+    OPENAI_API_KEY: null,
+    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: "ark-key",
+  });
+
+  assert.equal(
+    detectProvider(
+      makeArgs({
+        model: "doubao-seedream-4-5-251128",
+        referenceImages: ["ref.png"],
+      }),
+    ),
+    "seedream",
+  );
+
+  assert.equal(
+    detectProvider(
+      makeArgs({
+        provider: "seedream",
+        referenceImages: ["ref.png"],
+      }),
+    ),
+    "seedream",
+  );
+});
+
 test("batch worker and provider-rate-limit configuration prefer env over EXTEND config", (t) => {
   useEnv(t, {
     BAOYU_IMAGE_GEN_MAX_WORKERS: "12",
@@ -294,6 +327,7 @@ test("loadBatchTasks and createTaskArgs resolve batch-relative paths", async (t)
 
 test("path normalization, worker count, and retry classification follow expected rules", () => {
   assert.match(normalizeOutputImagePath("out/sample"), /out[\\/]+sample\.png$/);
+  assert.match(normalizeOutputImagePath("out/sample", ".jpg"), /out[\\/]+sample\.jpg$/);
   assert.match(normalizeOutputImagePath("out/sample.webp"), /out[\\/]+sample\.webp$/);
 
   assert.equal(getWorkerCount(8, null, 3), 3);

skills/baoyu-image-gen/scripts/main.ts

@@ -14,6 +14,8 @@ import type {
 type ProviderModule = {
   getDefaultModel: () => string;
   generateImage: (prompt: string, model: string, args: CliArgs) => Promise<Uint8Array>;
+  validateArgs?: (model: string, args: CliArgs) => void;
+  getDefaultOutputExtension?: (model: string, args: CliArgs) => string;
 };
 
 type PreparedTask = {
@@ -78,7 +80,7 @@ Options:
   --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 (Google multimodal, OpenAI GPT Image edits, OpenRouter multimodal, or Replicate)
+  --ref <files...>          Reference images (Google, OpenAI, OpenRouter, Replicate, or Seedream 4.0/4.5/5.0)
   --n <count>               Number of images for the current task (default: 1)
   --json                    JSON output
   -h, --help                Show help
@@ -560,11 +562,17 @@ async function readPromptFromStdin(): Promise<string | null> {
   }
 }
 
-export function normalizeOutputImagePath(p: string): string {
+export function normalizeOutputImagePath(p: string, defaultExtension = ".png"): string {
   const full = path.resolve(p);
   const ext = path.extname(full);
   if (ext) return full;
-  return `${full}.png`;
+  return `${full}${defaultExtension}`;
+}
+
+function inferProviderFromModel(model: string | null): Provider | null {
+  if (!model) return null;
+  if (model.includes("seedream") || model.includes("seededit")) return "seedream";
+  return null;
 }
 
 export function detectProvider(args: CliArgs): Provider {
@@ -574,10 +582,11 @@ export function detectProvider(args: CliArgs): Provider {
     args.provider !== "google" &&
     args.provider !== "openai" &&
     args.provider !== "openrouter" &&
-    args.provider !== "replicate"
+    args.provider !== "replicate" &&
+    args.provider !== "seedream"
   ) {
     throw new Error(
-      "Reference images require a ref-capable provider. Use --provider google (Gemini multimodal), --provider openai (GPT Image edits), --provider openrouter (OpenRouter multimodal), or --provider replicate."
+      "Reference images require a ref-capable provider. Use --provider google (Gemini multimodal), --provider openai (GPT Image edits), --provider openrouter (OpenRouter multimodal), --provider replicate, or --provider seedream for supported Seedream models."
     );
   }
 
@@ -590,14 +599,23 @@ export function detectProvider(args: CliArgs): Provider {
   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;
+  const modelProvider = inferProviderFromModel(args.model);
+
+  if (modelProvider === "seedream") {
+    if (!hasSeedream) {
+      throw new Error("Model looks like a Volcengine ARK image model, but ARK_API_KEY is not set.");
+    }
+    return "seedream";
+  }
 
   if (args.referenceImages.length > 0) {
     if (hasGoogle) return "google";
     if (hasOpenai) return "openai";
     if (hasOpenrouter) return "openrouter";
     if (hasReplicate) return "replicate";
+    if (hasSeedream) return "seedream";
     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, Replicate, or supported Seedream models. Set GOOGLE_API_KEY/GEMINI_API_KEY, OPENAI_API_KEY, OPENROUTER_API_KEY, REPLICATE_API_TOKEN, or ARK_API_KEY, or remove --ref."
     );
   }
 
@@ -701,6 +719,8 @@ async function prepareSingleTask(args: CliArgs, extendConfig: Partial<ExtendConf
   const provider = detectProvider(args);
   const providerModule = await loadProviderModule(provider);
   const model = getModelForProvider(provider, args.model, extendConfig, providerModule);
+  providerModule.validateArgs?.(model, args);
+  const defaultOutputExtension = providerModule.getDefaultOutputExtension?.(model, args) ?? ".png";
 
   return {
     id: "single",
@@ -708,7 +728,7 @@ async function prepareSingleTask(args: CliArgs, extendConfig: Partial<ExtendConf
     args,
     provider,
     model,
-    outputPath: normalizeOutputImagePath(args.imagePath),
+    outputPath: normalizeOutputImagePath(args.imagePath, defaultOutputExtension),
     providerModule,
   };
 }
@@ -784,13 +804,15 @@ async function prepareBatchTasks(
     const provider = detectProvider(taskArgs);
     const providerModule = await loadProviderModule(provider);
     const model = getModelForProvider(provider, taskArgs.model, extendConfig, providerModule);
+    providerModule.validateArgs?.(model, taskArgs);
+    const defaultOutputExtension = providerModule.getDefaultOutputExtension?.(model, taskArgs) ?? ".png";
     prepared.push({
       id: task.id || `task-${String(i + 1).padStart(2, "0")}`,
       prompt,
       args: taskArgs,
       provider,
       model,
-      outputPath: normalizeOutputImagePath(taskArgs.imagePath),
+      outputPath: normalizeOutputImagePath(taskArgs.imagePath, defaultOutputExtension),
       providerModule,
     });
   }

skills/baoyu-image-gen/scripts/providers/seedream.test.ts

@@ -0,0 +1,244 @@
+import assert from "node:assert/strict";
+import fs from "node:fs/promises";
+import os from "node:os";
+import path from "node:path";
+import test, { type TestContext } from "node:test";
+
+import type { CliArgs } from "../types.ts";
+import {
+  buildImageInput,
+  buildRequestBody,
+  generateImage,
+  getDefaultOutputExtension,
+  resolveSeedreamSize,
+  validateArgs,
+} from "./seedream.ts";
+
+function makeArgs(overrides: Partial<CliArgs> = {}): CliArgs {
+  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: TestContext,
+  values: Record<string, string | null>,
+): void {
+  const previous = new Map<string, string | undefined>();
+  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 makeTempPng(t: TestContext, name: string): Promise<string> {
+  const dir = await fs.mkdtemp(path.join(os.tmpdir(), "seedream-test-"));
+  t.after(() => fs.rm(dir, { recursive: true, force: true }));
+
+  const filePath = path.join(dir, name);
+  const png1x1 =
+    "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO+a7m0AAAAASUVORK5CYII=";
+  await fs.writeFile(filePath, Buffer.from(png1x1, "base64"));
+  return filePath;
+}
+
+test("Seedream request body and default extensions follow official model capabilities", () => {
+  const five = buildRequestBody(
+    "A robot illustrator",
+    "doubao-seedream-5-0-260128",
+    makeArgs(),
+  );
+  assert.equal(five.size, "2K");
+  assert.equal(five.response_format, "url");
+  assert.equal(five.output_format, "png");
+  assert.equal(getDefaultOutputExtension("doubao-seedream-5-0-260128"), ".png");
+
+  const fourFive = buildRequestBody(
+    "A robot illustrator",
+    "doubao-seedream-4-5-251128",
+    makeArgs(),
+  );
+  assert.equal(fourFive.size, "2K");
+  assert.equal(fourFive.response_format, "url");
+  assert.ok(!("output_format" in fourFive));
+  assert.equal(getDefaultOutputExtension("doubao-seedream-4-5-251128"), ".jpg");
+
+  assert.throws(
+    () =>
+      buildRequestBody(
+        "Change the bubbles into hearts",
+        "doubao-seededit-3-0-i2i-250628",
+        makeArgs({ referenceImages: ["ref.png"] }),
+        "data:image/png;base64,AAAA",
+      ),
+    /no longer supported/,
+  );
+});
+
+test("Seedream size selection validates model-specific presets", () => {
+  assert.equal(
+    resolveSeedreamSize("doubao-seedream-4-0-250828", makeArgs({ quality: "normal" })),
+    "1K",
+  );
+  assert.equal(
+    resolveSeedreamSize("doubao-seedream-3-0-t2i-250415", makeArgs({ quality: "2k" })),
+    "2048x2048",
+  );
+
+  assert.throws(
+    () =>
+      resolveSeedreamSize("doubao-seedream-5-0-260128", makeArgs({ size: "4K" })),
+    /only supports 2K, 3K/,
+  );
+  assert.throws(
+    () =>
+      resolveSeedreamSize("doubao-seedream-3-0-t2i-250415", makeArgs({ imageSize: "2K" })),
+    /only supports explicit WxH sizes/,
+  );
+  assert.throws(
+    () =>
+      resolveSeedreamSize("doubao-seededit-3-0-i2i-250628", makeArgs({ size: "1024x1024" })),
+    /no longer supported/,
+  );
+});
+
+test("Seedream reference-image support is model-specific", () => {
+  assert.doesNotThrow(() =>
+    validateArgs(
+      "doubao-seedream-5-0-260128",
+      makeArgs({ referenceImages: ["a.png", "b.png"] }),
+    ),
+  );
+
+  assert.throws(
+    () =>
+      validateArgs(
+        "doubao-seedream-3-0-t2i-250415",
+        makeArgs({ referenceImages: ["a.png"] }),
+      ),
+    /does not support reference images/,
+  );
+
+  assert.throws(
+    () =>
+      validateArgs(
+        "doubao-seededit-3-0-i2i-250628",
+        makeArgs(),
+      ),
+    /no longer supported/,
+  );
+
+  assert.throws(
+    () =>
+      validateArgs(
+        "ep-20260315171508-t8br2",
+        makeArgs({ referenceImages: ["a.png"] }),
+      ),
+    /require a known model ID/,
+  );
+});
+
+test("Seedream image input encodes local references as data URLs", async (t) => {
+  const refOne = await makeTempPng(t, "one.png");
+  const refTwo = await makeTempPng(t, "two.png");
+
+  const single = await buildImageInput("doubao-seedream-4-5-251128", [refOne]);
+  assert.match(String(single), /^data:image\/png;base64,/);
+
+  const multiple = await buildImageInput("doubao-seedream-5-0-260128", [refOne, refTwo]);
+  assert.ok(Array.isArray(multiple));
+  assert.equal(multiple.length, 2);
+});
+
+test("Seedream generateImage posts the documented response_format and downloads the returned URL", async (t) => {
+  useEnv(t, { ARK_API_KEY: "test-key", SEEDREAM_BASE_URL: null });
+
+  const originalFetch = globalThis.fetch;
+  t.after(() => {
+    globalThis.fetch = originalFetch;
+  });
+
+  const calls: Array<{
+    input: string;
+    init?: RequestInit;
+  }> = [];
+
+  globalThis.fetch = async (input, init) => {
+    calls.push({
+      input: String(input),
+      init,
+    });
+
+    if (calls.length === 1) {
+      return Response.json({
+        model: "doubao-seedream-4-5-251128",
+        created: 1740000000,
+        data: [
+          {
+            url: "https://example.com/generated-image",
+            size: "2048x2048",
+          },
+        ],
+        usage: {
+          generated_images: 1,
+          output_tokens: 1,
+          total_tokens: 1,
+        },
+      });
+    }
+
+    return new Response(Uint8Array.from([7, 8, 9]), {
+      status: 200,
+      headers: { "Content-Type": "image/jpeg" },
+    });
+  };
+
+  const image = await generateImage(
+    "A robot illustrator",
+    "doubao-seedream-4-5-251128",
+    makeArgs(),
+  );
+
+  assert.deepEqual([...image], [7, 8, 9]);
+  assert.equal(calls.length, 2);
+  assert.equal(
+    calls[0]?.input,
+    "https://ark.cn-beijing.volces.com/api/v3/images/generations",
+  );
+
+  const requestBody = JSON.parse(String(calls[0]?.init?.body)) as Record<string, unknown>;
+  assert.equal(requestBody.model, "doubao-seedream-4-5-251128");
+  assert.equal(requestBody.size, "2K");
+  assert.equal(requestBody.response_format, "url");
+  assert.ok(!("output_format" in requestBody));
+  assert.equal(calls[1]?.input, "https://example.com/generated-image");
+});

skills/baoyu-image-gen/scripts/providers/seedream.ts

@@ -1,5 +1,50 @@
+import path from "node:path";
+import { readFile } from "node:fs/promises";
+
 import type { CliArgs } from "../types";
 
+export type SeedreamModelFamily =
+  | "seedream5"
+  | "seedream45"
+  | "seedream40"
+  | "seedream30"
+  | "unknown";
+
+type SeedreamRequestImage = string | string[];
+
+type SeedreamRequestBody = {
+  model: string;
+  prompt: string;
+  size: string;
+  response_format: "url";
+  watermark: boolean;
+  image?: SeedreamRequestImage;
+  output_format?: "png";
+};
+
+type SeedreamImageResponse = {
+  model?: string;
+  created?: number;
+  data?: Array<{
+    url?: string;
+    b64_json?: string;
+    size?: string;
+    error?: {
+      code?: string;
+      message?: string;
+    };
+  }>;
+  usage?: {
+    generated_images: number;
+    output_tokens: number;
+    total_tokens: number;
+  };
+  error?: {
+    code?: string;
+    message?: string;
+  };
+};
+
 export function getDefaultModel(): string {
   return process.env.SEEDREAM_IMAGE_MODEL || "doubao-seedream-5-0-260128";
 }
@@ -12,46 +57,252 @@ function getBaseUrl(): string {
   return process.env.SEEDREAM_BASE_URL || "https://ark.cn-beijing.volces.com/api/v3";
 }
 
-/**
+function parsePixelSize(value: string): { width: number; height: number } | null {
- * Convert aspect ratio to Seedream size format
+  const match = value.trim().match(/^(\d+)\s*[xX]\s*(\d+)$/);
- * Seedream API accepts: "2k" (default), "3k", or WIDTHxHEIGHT format
+  if (!match) return null;
- * Note: API uses lowercase "2k"/"3k", not "2K"/"3K"
+
- */
+  const width = parseInt(match[1]!, 10);
-function getSeedreamSize(ar: string | null, quality: CliArgs["quality"], imageSize?: string | null): string {
+  const height = parseInt(match[2]!, 10);
-  // If explicit size is provided
+  if (!Number.isFinite(width) || !Number.isFinite(height) || width <= 0 || height <= 0) {
-  if (imageSize) {
+    return null;
-    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 { width, height };
-  return "2k";
 }
 
-type SeedreamImageResponse = {
+function normalizePixelSize(value: string): string | null {
-  model: string;
+  const parsed = parsePixelSize(value);
-  created: number;
+  if (!parsed) return null;
-  data: Array<{
+  return `${parsed.width}x${parsed.height}`;
-    url: string;
+}
-    size: string;
+
-  }>;
+function normalizeSizePreset(value: string): string | null {
-  usage: {
+  const upper = value.trim().toUpperCase();
-    generated_images: number;
+  if (upper === "ADAPTIVE") return "adaptive";
-    output_tokens: number;
+  if (upper === "1K" || upper === "2K" || upper === "3K" || upper === "4K") return upper;
-    total_tokens: number;
+  return null;
+}
+
+function normalizeSizeValue(value: string): string | null {
+  return normalizeSizePreset(value) ?? normalizePixelSize(value);
+}
+
+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";
+  if (ext === ".gif") return "image/gif";
+  if (ext === ".bmp") return "image/bmp";
+  if (ext === ".tiff" || ext === ".tif") return "image/tiff";
+  return "image/png";
+}
+
+async function readImageAsDataUrl(filePath: string): Promise<string> {
+  const bytes = await readFile(filePath);
+  return `data:${getMimeType(filePath)};base64,${bytes.toString("base64")}`;
+}
+
+export function getModelFamily(model: string): SeedreamModelFamily {
+  const normalized = model.trim();
+  if (/^doubao-seedream-5-0(?:-lite)?-\d+$/.test(normalized)) return "seedream5";
+  if (/^doubao-seedream-4-5-\d+$/.test(normalized)) return "seedream45";
+  if (/^doubao-seedream-4-0-\d+$/.test(normalized)) return "seedream40";
+  if (/^doubao-seedream-3-0-t2i-\d+$/.test(normalized)) return "seedream30";
+  return "unknown";
+}
+
+function isRemovedSeededitModel(model: string): boolean {
+  return /^doubao-seededit-3-0-i2i-\d+$/.test(model.trim());
+}
+
+function assertSupportedModel(model: string): void {
+  if (isRemovedSeededitModel(model)) {
+    throw new Error(
+      `${model} is no longer supported. SeedEdit 3.0 support has been removed from this tool; use Seedream 5.0/4.5/4.0/3.0 instead.`
+    );
+  }
+}
+
+export function supportsReferenceImages(model: string): boolean {
+  const family = getModelFamily(model);
+  return family === "seedream5" || family === "seedream45" || family === "seedream40";
+}
+
+function supportsOutputFormat(model: string): boolean {
+  return getModelFamily(model) === "seedream5";
+}
+
+export function getDefaultOutputExtension(model: string): ".png" | ".jpg" {
+  assertSupportedModel(model);
+  return supportsOutputFormat(model) ? ".png" : ".jpg";
+}
+
+export function getDefaultSeedreamSize(model: string, args: CliArgs): string {
+  assertSupportedModel(model);
+  const family = getModelFamily(model);
+
+  if (family === "seedream5") return "2K";
+  if (family === "seedream45") return "2K";
+  if (family === "seedream40") return args.quality === "normal" ? "1K" : "2K";
+  if (family === "seedream30") return args.quality === "2k" ? "2048x2048" : "1024x1024";
+  return "2K";
+}
+
+export function resolveSeedreamSize(model: string, args: CliArgs): string {
+  assertSupportedModel(model);
+  const family = getModelFamily(model);
+  const requested = args.size || args.imageSize || null;
+  const normalized = requested ? normalizeSizeValue(requested) : null;
+
+  if (!normalized) {
+    return getDefaultSeedreamSize(model, args);
+  }
+
+  if (family === "seedream30") {
+    const pixelSize = normalizePixelSize(normalized);
+    if (!pixelSize) {
+      throw new Error("Seedream 3.0 only supports explicit WxH sizes such as 1024x1024.");
+    }
+    return pixelSize;
+  }
+
+  if (family === "seedream5") {
+    if (normalized === "4K" || normalized === "1K" || normalized === "adaptive") {
+      throw new Error("Seedream 5.0 only supports 2K, 3K, or explicit WxH sizes.");
+    }
+    return normalized;
+  }
+
+  if (family === "seedream45") {
+    if (normalized === "1K" || normalized === "3K" || normalized === "adaptive") {
+      throw new Error("Seedream 4.5 only supports 2K, 4K, or explicit WxH sizes.");
+    }
+    return normalized;
+  }
+
+  if (family === "seedream40") {
+    if (normalized === "3K" || normalized === "adaptive") {
+      throw new Error("Seedream 4.0 only supports 1K, 2K, 4K, or explicit WxH sizes.");
+    }
+    return normalized;
+  }
+
+  if (normalized === "adaptive") {
+    throw new Error("Adaptive size is not supported by Seedream image generation.");
+  }
+
+  if (normalized === "1K" || normalized === "3K" || normalized === "4K") {
+    throw new Error(
+      "Unknown Seedream model ID. Use a documented model ID or pass an explicit WxH size instead of preset imageSize."
+    );
+  }
+
+  return normalized;
+}
+
+export function validateArgs(model: string, args: CliArgs): void {
+  assertSupportedModel(model);
+  const family = getModelFamily(model);
+  const refCount = args.referenceImages.length;
+
+  if (refCount === 0) {
+    resolveSeedreamSize(model, args);
+    return;
+  }
+
+  if (family === "unknown") {
+    throw new Error(
+      "Reference images with Seedream require a known model ID. Use Seedream 5.0/4.5/4.0 model IDs instead of an endpoint ID."
+    );
+  }
+
+  if (!supportsReferenceImages(model)) {
+    throw new Error(`${model} does not support reference images.`);
+  }
+
+  if ((family === "seedream5" || family === "seedream45" || family === "seedream40") && refCount > 14) {
+    throw new Error(`${model} supports at most 14 reference images.`);
+  }
+
+  resolveSeedreamSize(model, args);
+}
+
+export async function buildImageInput(
+  model: string,
+  referenceImages: string[],
+): Promise<SeedreamRequestImage | undefined> {
+  if (referenceImages.length === 0) return undefined;
+  assertSupportedModel(model);
+
+  const encoded = await Promise.all(referenceImages.map((refPath) => readImageAsDataUrl(refPath)));
+
+  return encoded.length === 1 ? encoded[0]! : encoded;
+}
+
+export function buildRequestBody(
+  prompt: string,
+  model: string,
+  args: CliArgs,
+  imageInput?: SeedreamRequestImage,
+): SeedreamRequestBody {
+  validateArgs(model, args);
+
+  const requestBody: SeedreamRequestBody = {
+    model,
+    prompt,
+    size: resolveSeedreamSize(model, args),
+    response_format: "url",
+    watermark: false,
   };
-};
+
+  if (imageInput) {
+    requestBody.image = imageInput;
+  }
+
+  if (supportsOutputFormat(model)) {
+    requestBody.output_format = "png";
+  }
+
+  return requestBody;
+}
+
+async function downloadImage(url: string): Promise<Uint8Array> {
+  const imgResponse = await fetch(url);
+  if (!imgResponse.ok) {
+    throw new Error(`Failed to download image from ${url}`);
+  }
+
+  const buffer = await imgResponse.arrayBuffer();
+  return new Uint8Array(buffer);
+}
+
+export async function extractImageFromResponse(result: SeedreamImageResponse): Promise<Uint8Array> {
+  const first = result.data?.find((item) => item.url || item.b64_json || item.error);
+
+  if (!first) {
+    throw new Error("No image data in Seedream response");
+  }
+
+  if (first.error) {
+    throw new Error(first.error.message || "Seedream returned an image generation error");
+  }
+
+  if (first.b64_json) {
+    return Uint8Array.from(Buffer.from(first.b64_json, "base64"));
+  }
+
+  if (first.url) {
+    console.error(`Downloading image from ${first.url}...`);
+    return downloadImage(first.url);
+  }
+
+  throw new Error("No image URL or base64 data in Seedream response");
+}
 
 export async function generateImage(
   prompt: string,
   model: string,
-  args: CliArgs
+  args: CliArgs,
 ): Promise<Uint8Array> {
   const apiKey = getApiKey();
   if (!apiKey) {
@@ -61,20 +312,13 @@ export async function generateImage(
     );
   }
 
-  const baseUrl = getBaseUrl();
+  validateArgs(model, args);
-  const size = getSeedreamSize(args.aspectRatio, args.quality, args.imageSize);
+  const imageInput = await buildImageInput(model, args.referenceImages);
+  const requestBody = buildRequestBody(prompt, model, args, imageInput);
 
-  console.error(`Calling Seedream API (${model}) with size: ${size}`);
+  console.error(`Calling Seedream API (${model}) with size: ${requestBody.size}`);
 
-  const requestBody = {
+  const response = await fetch(`${getBaseUrl()}/images/generations`, {
-    model,
-    prompt,
-    size,
-    output_format: "png",
-    watermark: false,
-  };
-
-  const response = await fetch(`${baseUrl}/images/generations`, {
     method: "POST",
     headers: {
       "Content-Type": "application/json",
@@ -89,23 +333,9 @@ export async function generateImage(
   }
 
   const result = (await response.json()) as SeedreamImageResponse;
-
+  if (result.error) {
-  if (!result.data || result.data.length === 0) {
+    throw new Error(result.error.message || "Seedream API returned an error");
-    throw new Error("No image data in Seedream response");
   }
 
-  const imageUrl = result.data[0].url;
+  return extractImageFromResponse(result);
-  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);
 }

skills/baoyu-post-to-wechat/scripts/bun.lock

@@ -4,32 +4,108 @@
     "": {
       "name": "baoyu-post-to-wechat-scripts",
       "dependencies": {
+        "@jsquash/webp": "^1.5.0",
         "baoyu-chrome-cdp": "file:./vendor/baoyu-chrome-cdp",
         "baoyu-md": "file:./vendor/baoyu-md",
+        "jimp": "^1.6.0",
       },
     },
   },
   "packages": {
+    "@jimp/core": ["@jimp/core@1.6.0", "", { "dependencies": { "@jimp/file-ops": "1.6.0", "@jimp/types": "1.6.0", "@jimp/utils": "1.6.0", "await-to-js": "^3.0.0", "exif-parser": "^0.1.12", "file-type": "^16.0.0", "mime": "3" } }, "sha512-EQQlKU3s9QfdJqiSrZWNTxBs3rKXgO2W+GxNXDtwchF3a4IqxDheFX1ti+Env9hdJXDiYLp2jTRjlxhPthsk8w=="],
+
+    "@jimp/diff": ["@jimp/diff@1.6.0", "", { "dependencies": { "@jimp/plugin-resize": "1.6.0", "@jimp/types": "1.6.0", "@jimp/utils": "1.6.0", "pixelmatch": "^5.3.0" } }, "sha512-+yUAQ5gvRC5D1WHYxjBHZI7JBRusGGSLf8AmPRPCenTzh4PA+wZ1xv2+cYqQwTfQHU5tXYOhA0xDytfHUf1Zyw=="],
+
+    "@jimp/file-ops": ["@jimp/file-ops@1.6.0", "", {}, "sha512-Dx/bVDmgnRe1AlniRpCKrGRm5YvGmUwbDzt+MAkgmLGf+jvBT75hmMEZ003n9HQI/aPnm/YKnXjg/hOpzNCpHQ=="],
+
+    "@jimp/js-bmp": ["@jimp/js-bmp@1.6.0", "", { "dependencies": { "@jimp/core": "1.6.0", "@jimp/types": "1.6.0", "@jimp/utils": "1.6.0", "bmp-ts": "^1.0.9" } }, "sha512-FU6Q5PC/e3yzLyBDXupR3SnL3htU7S3KEs4e6rjDP6gNEOXRFsWs6YD3hXuXd50jd8ummy+q2WSwuGkr8wi+Gw=="],
+
+    "@jimp/js-gif": ["@jimp/js-gif@1.6.0", "", { "dependencies": { "@jimp/core": "1.6.0", "@jimp/types": "1.6.0", "gifwrap": "^0.10.1", "omggif": "^1.0.10" } }, "sha512-N9CZPHOrJTsAUoWkWZstLPpwT5AwJ0wge+47+ix3++SdSL/H2QzyMqxbcDYNFe4MoI5MIhATfb0/dl/wmX221g=="],
+
+    "@jimp/js-jpeg": ["@jimp/js-jpeg@1.6.0", "", { "dependencies": { "@jimp/core": "1.6.0", "@jimp/types": "1.6.0", "jpeg-js": "^0.4.4" } }, "sha512-6vgFDqeusblf5Pok6B2DUiMXplH8RhIKAryj1yn+007SIAQ0khM1Uptxmpku/0MfbClx2r7pnJv9gWpAEJdMVA=="],
+
+    "@jimp/js-png": ["@jimp/js-png@1.6.0", "", { "dependencies": { "@jimp/core": "1.6.0", "@jimp/types": "1.6.0", "pngjs": "^7.0.0" } }, "sha512-AbQHScy3hDDgMRNfG0tPjL88AV6qKAILGReIa3ATpW5QFjBKpisvUaOqhzJ7Reic1oawx3Riyv152gaPfqsBVg=="],
+
+    "@jimp/js-tiff": ["@jimp/js-tiff@1.6.0", "", { "dependencies": { "@jimp/core": "1.6.0", "@jimp/types": "1.6.0", "utif2": "^4.1.0" } }, "sha512-zhReR8/7KO+adijj3h0ZQUOiun3mXUv79zYEAKvE0O+rP7EhgtKvWJOZfRzdZSNv0Pu1rKtgM72qgtwe2tFvyw=="],
+
+    "@jimp/plugin-blit": ["@jimp/plugin-blit@1.6.0", "", { "dependencies": { "@jimp/types": "1.6.0", "@jimp/utils": "1.6.0", "zod": "^3.23.8" } }, "sha512-M+uRWl1csi7qilnSK8uxK4RJMSuVeBiO1AY0+7APnfUbQNZm6hCe0CCFv1Iyw1D/Dhb8ph8fQgm5mwM0eSxgVA=="],
+
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+
+    "@jimp/plugin-color": ["@jimp/plugin-color@1.6.0", "", { "dependencies": { "@jimp/core": "1.6.0", "@jimp/types": "1.6.0", "@jimp/utils": "1.6.0", "tinycolor2": "^1.6.0", "zod": "^3.23.8" } }, "sha512-J5q8IVCpkBsxIXM+45XOXTrsyfblyMZg3a9eAo0P7VPH4+CrvyNQwaYatbAIamSIN1YzxmO3DkIZXzRjFSz1SA=="],
+
+    "@jimp/plugin-contain": ["@jimp/plugin-contain@1.6.0", "", { "dependencies": { "@jimp/core": "1.6.0", "@jimp/plugin-blit": "1.6.0", "@jimp/plugin-resize": "1.6.0", "@jimp/types": "1.6.0", "@jimp/utils": "1.6.0", "zod": "^3.23.8" } }, "sha512-oN/n+Vdq/Qg9bB4yOBOxtY9IPAtEfES8J1n9Ddx+XhGBYT1/QTU/JYkGaAkIGoPnyYvmLEDqMz2SGihqlpqfzQ=="],
+
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+
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+
+    "@jimp/plugin-displace": ["@jimp/plugin-displace@1.6.0", "", { "dependencies": { "@jimp/types": "1.6.0", "@jimp/utils": "1.6.0", "zod": "^3.23.8" } }, "sha512-4Y10X9qwr5F+Bo5ME356XSACEF55485j5nGdiyJ9hYzjQP9nGgxNJaZ4SAOqpd+k5sFaIeD7SQ0Occ26uIng5Q=="],
+
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+
+    "@jimp/plugin-fisheye": ["@jimp/plugin-fisheye@1.6.0", "", { "dependencies": { "@jimp/types": "1.6.0", "@jimp/utils": "1.6.0", "zod": "^3.23.8" } }, "sha512-E5QHKWSCBFtpgZarlmN3Q6+rTQxjirFqo44ohoTjzYVrDI6B6beXNnPIThJgPr0Y9GwfzgyarKvQuQuqCnnfbA=="],
+
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+
+    "@jimp/plugin-hash": ["@jimp/plugin-hash@1.6.0", "", { "dependencies": { "@jimp/core": "1.6.0", "@jimp/js-bmp": "1.6.0", "@jimp/js-jpeg": "1.6.0", "@jimp/js-png": "1.6.0", "@jimp/js-tiff": "1.6.0", "@jimp/plugin-color": "1.6.0", "@jimp/plugin-resize": "1.6.0", "@jimp/types": "1.6.0", "@jimp/utils": "1.6.0", "any-base": "^1.1.0" } }, "sha512-wWzl0kTpDJgYVbZdajTf+4NBSKvmI3bRI8q6EH9CVeIHps9VWVsUvEyb7rpbcwVLWYuzDtP2R0lTT6WeBNQH9Q=="],
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+
+    "@jimp/plugin-threshold": ["@jimp/plugin-threshold@1.6.0", "", { "dependencies": { "@jimp/core": "1.6.0", "@jimp/plugin-color": "1.6.0", "@jimp/plugin-hash": "1.6.0", "@jimp/types": "1.6.0", "@jimp/utils": "1.6.0", "zod": "^3.23.8" } }, "sha512-M59m5dzLoHOVWdM41O8z9SyySzcDn43xHseOH0HavjsfQsT56GGCC4QzU1banJidbUrePhzoEdS42uFE8Fei8w=="],
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+
+    "@jsquash/webp": ["@jsquash/webp@1.5.0", "", { "dependencies": { "wasm-feature-detect": "^1.2.11" } }, "sha512-KggLoj2MnRSfIqTeKe1EmbljTX2vuV7mh79k89PCL1pyqiDULcPM1L47twxXt0hkb68F70bXiL31MxsuoZtKFw=="],
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+    "@tokenizer/token": ["@tokenizer/token@0.3.0", "", {}, "sha512-OvjF+z51L3ov0OyAU0duzsYuvO01PH7x4t6DJx+guahgTnBHkhJdG7soQeTSFLWN3efnHyibZ4Z8l2EuWwJN3A=="],
+
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+    "@types/node": ["@types/node@16.9.1", "", {}, "sha512-QpLcX9ZSsq3YYUUnD3nFDY8H7wctAhQj/TFKL8Ya8v5fMm3CFXxo8zStsLAl780ltoYoo1WvKUVGBQK+1ifr7g=="],
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+    "any-base": ["any-base@1.1.0", "", {}, "sha512-uMgjozySS8adZZYePpaWs8cxB9/kdzmpX6SgJZ+wbz1K5eYk5QMYDVJaZKhxyIHUdnnJkfR7SVgStgH7LkGUyg=="],
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     "argparse": ["argparse@1.0.10", "", { "dependencies": { "sprintf-js": "~1.0.2" } }, "sha512-o5Roy6tNG4SL/FOkCAN6RzjiakZS25RLYFrcMttJqbdd8BWrnA+fGz57iN5Pb06pvBGvl5gQ0B48dJlslXvoTg=="],
 
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     "baoyu-chrome-cdp": ["baoyu-chrome-cdp@file:vendor/baoyu-chrome-cdp", {}],
 
     "baoyu-md": ["baoyu-md@file:vendor/baoyu-md", { "dependencies": { "fflate": "^0.8.2", "front-matter": "^4.0.2", "highlight.js": "^11.11.1", "juice": "^11.0.1", "marked": "^15.0.6", "reading-time": "^1.5.0", "remark-cjk-friendly": "^1.1.0", "remark-parse": "^11.0.0", "remark-stringify": "^11.0.0", "unified": "^11.0.5" } }],
 
+    "base64-js": ["base64-js@1.5.1", "", {}, "sha512-AKpaYlHn8t4SVbOHCy+b5+KKgvR4vrsD8vbvrbiQJps7fKDTkjkDry6ji0rUJjC0kzbNePLwzxq8iypo41qeWA=="],
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+
     "character-entities": ["character-entities@2.0.2", "", {}, "sha512-shx7oQ0Awen/BRIdkjkvz54PnEEI/EjwXDSIZp86/KKdbafHh1Df/RYGBhn4hbe2+uKC9FnT5UCEdyPz3ai9hQ=="],
 
     "cheerio": ["cheerio@1.0.0", "", { "dependencies": { "cheerio-select": "^2.1.0", "dom-serializer": "^2.0.0", "domhandler": "^5.0.3", "domutils": "^3.1.0", "encoding-sniffer": "^0.2.0", "htmlparser2": "^9.1.0", "parse5": "^7.1.2", "parse5-htmlparser2-tree-adapter": "^7.0.0", "parse5-parser-stream": "^7.1.2", "undici": "^6.19.5", "whatwg-mimetype": "^4.0.0" } }, "sha512-quS9HgjQpdaXOvsZz82Oz7uxtXiy6UIsIQcpBj7HRw2M63Skasm9qlDocAM7jNuaxdhpPU7c4kJN+gA5MCu4ww=="],
@@ -66,22 +142,40 @@
 
     "esprima": ["esprima@4.0.1", "", { "bin": { "esparse": "./bin/esparse.js", "esvalidate": "./bin/esvalidate.js" } }, "sha512-eGuFFw7Upda+g4p+QHvnW0RyTX/SVeJBDM/gCtMARO0cLuT2HcEKnTPvhjV6aGeqrCB/sbNop0Kszm0jsaWU4A=="],
 
+    "event-target-shim": ["event-target-shim@5.0.1", "", {}, "sha512-i/2XbnSz/uxRCU6+NdVJgKWDTM427+MqYbkQzD321DuCQJUqOuJKIA0IM2+W2xtYHdKOmZ4dR6fExsd4SXL+WQ=="],
+
+    "events": ["events@3.3.0", "", {}, "sha512-mQw+2fkQbALzQ7V0MY0IqdnXNOeTtP4r0lN9z7AAawCXgqea7bDii20AYrIBrFd/Hx0M2Ocz6S111CaFkUcb0Q=="],
+
+    "exif-parser": ["exif-parser@0.1.12", "", {}, "sha512-c2bQfLNbMzLPmzQuOr8fy0csy84WmwnER81W88DzTp9CYNPJ6yzOj2EZAh9pywYpqHnshVLHQJ8WzldAyfY+Iw=="],
+
     "extend": ["extend@3.0.2", "", {}, "sha512-fjquC59cD7CyW6urNXK0FBufkZcoiGG80wTuPujX590cB5Ttln20E2UB4S/WARVqhXffZl2LNgS+gQdPIIim/g=="],
 
     "fflate": ["fflate@0.8.2", "", {}, "sha512-cPJU47OaAoCbg0pBvzsgpTPhmhqI5eJjh/JIu8tPj5q+T7iLvW/JAYUqmE7KOB4R1ZyEhzBaIQpQpardBF5z8A=="],
 
+    "file-type": ["file-type@16.5.4", "", { "dependencies": { "readable-web-to-node-stream": "^3.0.0", "strtok3": "^6.2.4", "token-types": "^4.1.1" } }, "sha512-/yFHK0aGjFEgDJjEKP0pWCplsPFPhwyfwevf/pVxiN0tmE4L9LmwWxWukdJSHdoCli4VgQLehjJtwQBnqmsKcw=="],
+
     "front-matter": ["front-matter@4.0.2", "", { "dependencies": { "js-yaml": "^3.13.1" } }, "sha512-I8ZuJ/qG92NWX8i5x1Y8qyj3vizhXS31OxjKDu3LKP+7/qBgfIKValiZIEwoVoJKUHlhWtYrktkxV1XsX+pPlg=="],
 
     "get-east-asian-width": ["get-east-asian-width@1.5.0", "", {}, "sha512-CQ+bEO+Tva/qlmw24dCejulK5pMzVnUOFOijVogd3KQs07HnRIgp8TGipvCCRT06xeYEbpbgwaCxglFyiuIcmA=="],
 
+    "gifwrap": ["gifwrap@0.10.1", "", { "dependencies": { "image-q": "^4.0.0", "omggif": "^1.0.10" } }, "sha512-2760b1vpJHNmLzZ/ubTtNnEx5WApN/PYWJvXvgS+tL1egTTthayFYIQQNi136FLEDcN/IyEY2EcGpIITD6eYUw=="],
+
     "highlight.js": ["highlight.js@11.11.1", "", {}, "sha512-Xwwo44whKBVCYoliBQwaPvtd/2tYFkRQtXDWj1nackaV2JPXx3L0+Jvd8/qCJ2p+ML0/XVkJ2q+Mr+UVdpJK5w=="],
 
     "htmlparser2": ["htmlparser2@9.1.0", "", { "dependencies": { "domelementtype": "^2.3.0", "domhandler": "^5.0.3", "domutils": "^3.1.0", "entities": "^4.5.0" } }, "sha512-5zfg6mHUoaer/97TxnGpxmbR7zJtPwIYFMZ/H5ucTlPZhKvtum05yiPK3Mgai3a0DyVxv7qYqoweaEd2nrYQzQ=="],
 
     "iconv-lite": ["iconv-lite@0.6.3", "", { "dependencies": { "safer-buffer": ">= 2.1.2 < 3.0.0" } }, "sha512-4fCk79wshMdzMp2rH06qWrJE4iolqLhCUH+OiuIgU++RB0+94NlDL81atO7GX55uUKueo0txHNtvEyI6D7WdMw=="],
 
+    "ieee754": ["ieee754@1.2.1", "", {}, "sha512-dcyqhDvX1C46lXZcVqCpK+FtMRQVdIMN6/Df5js2zouUsqG7I6sFxitIC+7KYK29KdXOLHdu9zL4sFnoVQnqaA=="],
+
+    "image-q": ["image-q@4.0.0", "", { "dependencies": { "@types/node": "16.9.1" } }, "sha512-PfJGVgIfKQJuq3s0tTDOKtztksibuUEbJQIYT3by6wctQo+Rdlh7ef4evJ5NCdxY4CfMbvFkocEwbl4BF8RlJw=="],
+
     "is-plain-obj": ["is-plain-obj@4.1.0", "", {}, "sha512-+Pgi+vMuUNkJyExiMBt5IlFoMyKnr5zhJ4Uspz58WOhBF5QoIZkFyNHIbBAtHwzVAgk5RtndVNsDRN61/mmDqg=="],
 
+    "jimp": ["jimp@1.6.0", "", { "dependencies": { "@jimp/core": "1.6.0", "@jimp/diff": "1.6.0", "@jimp/js-bmp": "1.6.0", "@jimp/js-gif": "1.6.0", "@jimp/js-jpeg": "1.6.0", "@jimp/js-png": "1.6.0", "@jimp/js-tiff": "1.6.0", "@jimp/plugin-blit": "1.6.0", "@jimp/plugin-blur": "1.6.0", "@jimp/plugin-circle": "1.6.0", "@jimp/plugin-color": "1.6.0", "@jimp/plugin-contain": "1.6.0", "@jimp/plugin-cover": "1.6.0", "@jimp/plugin-crop": "1.6.0", "@jimp/plugin-displace": "1.6.0", "@jimp/plugin-dither": "1.6.0", "@jimp/plugin-fisheye": "1.6.0", "@jimp/plugin-flip": "1.6.0", "@jimp/plugin-hash": "1.6.0", "@jimp/plugin-mask": "1.6.0", "@jimp/plugin-print": "1.6.0", "@jimp/plugin-quantize": "1.6.0", "@jimp/plugin-resize": "1.6.0", "@jimp/plugin-rotate": "1.6.0", "@jimp/plugin-threshold": "1.6.0", "@jimp/types": "1.6.0", "@jimp/utils": "1.6.0" } }, "sha512-YcwCHw1kiqEeI5xRpDlPPBGL2EOpBKLwO4yIBJcXWHPj5PnA5urGq0jbyhM5KoNpypQ6VboSoxc9D8HyfvngSg=="],
+
+    "jpeg-js": ["jpeg-js@0.4.4", "", {}, "sha512-WZzeDOEtTOBK4Mdsar0IqEU5sMr3vSV2RqkAIzUEV2BHnUfKGyswWFPFwK5EeDo93K3FohSHbLAjj0s1Wzd+dg=="],
+
     "js-yaml": ["js-yaml@3.14.2", "", { "dependencies": { "argparse": "^1.0.7", "esprima": "^4.0.0" }, "bin": { "js-yaml": "bin/js-yaml.js" } }, "sha512-PMSmkqxr106Xa156c2M265Z+FTrPl+oxd/rgOQy2tijQeK5TxQ43psO1ZCwhVOSdnn+RzkzlRz/eY4BgJBYVpg=="],
 
     "juice": ["juice@11.1.1", "", { "dependencies": { "cheerio": "1.0.0", "commander": "^12.1.0", "entities": "^7.0.0", "mensch": "^0.3.4", "slick": "^1.12.2", "web-resource-inliner": "^8.0.0" }, "bin": { "juice": "bin/juice" } }, "sha512-4SBfZqKcc6DrIS+5b/WiGoWaZsdUPBH+e6SbRlNjJpaIRtfoBhYReAtobIEW6mcLeFFDXLBJMuZwkJLkBJjs2w=="],
@@ -146,18 +240,40 @@
 
     "micromark-util-types": ["micromark-util-types@2.0.2", "", {}, "sha512-Yw0ECSpJoViF1qTU4DC6NwtC4aWGt1EkzaQB8KPPyCRR8z9TWeV0HbEFGTO+ZY1wB22zmxnJqhPyTpOVCpeHTA=="],
 
-    "mime": ["mime@2.6.0", "", { "bin": { "mime": "cli.js" } }, "sha512-USPkMeET31rOMiarsBNIHZKLGgvKc/LrjofAnBlOttf5ajRvqiRA8QsenbcooctK6d6Ts6aqZXBA+XbkKthiQg=="],
+    "mime": ["mime@3.0.0", "", { "bin": { "mime": "cli.js" } }, "sha512-jSCU7/VB1loIWBZe14aEYHU/+1UMEHoaO7qxCOVJOw9GgH72VAWppxNcjU+x9a2k3GSIBXNKxXQFqRvvZ7vr3A=="],
 
     "ms": ["ms@2.1.3", "", {}, "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="],
 
     "nth-check": ["nth-check@2.1.1", "", { "dependencies": { "boolbase": "^1.0.0" } }, "sha512-lqjrjmaOoAnWfMmBPL+XNnynZh2+swxiX3WUE0s4yEHI6m+AwrK2UZOimIRl3X/4QctVqS8AiZjFqyOGrMXb/w=="],
 
+    "omggif": ["omggif@1.0.10", "", {}, "sha512-LMJTtvgc/nugXj0Vcrrs68Mn2D1r0zf630VNtqtpI1FEO7e+O9FP4gqs9AcnBaSEeoHIPm28u6qgPR0oyEpGSw=="],
+
+    "pako": ["pako@1.0.11", "", {}, "sha512-4hLB8Py4zZce5s4yd9XzopqwVv/yGNhV1Bl8NTmCq1763HeK2+EwVTv+leGeL13Dnh2wfbqowVPXCIO0z4taYw=="],
+
+    "parse-bmfont-ascii": ["parse-bmfont-ascii@1.0.6", "", {}, "sha512-U4RrVsUFCleIOBsIGYOMKjn9PavsGOXxbvYGtMOEfnId0SVNsgehXh1DxUdVPLoxd5mvcEtvmKs2Mmf0Mpa1ZA=="],
+
+    "parse-bmfont-binary": ["parse-bmfont-binary@1.0.6", "", {}, "sha512-GxmsRea0wdGdYthjuUeWTMWPqm2+FAd4GI8vCvhgJsFnoGhTrLhXDDupwTo7rXVAgaLIGoVHDZS9p/5XbSqeWA=="],
+
+    "parse-bmfont-xml": ["parse-bmfont-xml@1.1.6", "", { "dependencies": { "xml-parse-from-string": "^1.0.0", "xml2js": "^0.5.0" } }, "sha512-0cEliVMZEhrFDwMh4SxIyVJpqYoOWDJ9P895tFuS+XuNzI5UBmBk5U5O4KuJdTnZpSBI4LFA2+ZiJaiwfSwlMA=="],
+
     "parse5": ["parse5@7.3.0", "", { "dependencies": { "entities": "^6.0.0" } }, "sha512-IInvU7fabl34qmi9gY8XOVxhYyMyuH2xUNpb2q8/Y+7552KlejkRvqvD19nMoUW/uQGGbqNpA6Tufu5FL5BZgw=="],
 
     "parse5-htmlparser2-tree-adapter": ["parse5-htmlparser2-tree-adapter@7.1.0", "", { "dependencies": { "domhandler": "^5.0.3", "parse5": "^7.0.0" } }, "sha512-ruw5xyKs6lrpo9x9rCZqZZnIUntICjQAd0Wsmp396Ul9lN/h+ifgVV1x1gZHi8euej6wTfpqX8j+BFQxF0NS/g=="],
 
     "parse5-parser-stream": ["parse5-parser-stream@7.1.2", "", { "dependencies": { "parse5": "^7.0.0" } }, "sha512-JyeQc9iwFLn5TbvvqACIF/VXG6abODeB3Fwmv/TGdLk2LfbWkaySGY72at4+Ty7EkPZj854u4CrICqNk2qIbow=="],
 
+    "peek-readable": ["peek-readable@4.1.0", "", {}, "sha512-ZI3LnwUv5nOGbQzD9c2iDG6toheuXSZP5esSHBjopsXH4dg19soufvpUGA3uohi5anFtGb2lhAVdHzH6R/Evvg=="],
+
+    "pixelmatch": ["pixelmatch@5.3.0", "", { "dependencies": { "pngjs": "^6.0.0" }, "bin": { "pixelmatch": "bin/pixelmatch" } }, "sha512-o8mkY4E/+LNUf6LzX96ht6k6CEDi65k9G2rjMtBe9Oo+VPKSvl+0GKHuH/AlG+GA5LPG/i5hrekkxUc3s2HU+Q=="],
+
+    "pngjs": ["pngjs@7.0.0", "", {}, "sha512-LKWqWJRhstyYo9pGvgor/ivk2w94eSjE3RGVuzLGlr3NmD8bf7RcYGze1mNdEHRP6TRP6rMuDHk5t44hnTRyow=="],
+
+    "process": ["process@0.11.10", "", {}, "sha512-cdGef/drWFoydD1JsMzuFf8100nZl+GT+yacc2bEced5f9Rjk4z+WtFUTBu9PhOi9j/jfmBPu0mMEY4wIdAF8A=="],
+
+    "readable-stream": ["readable-stream@4.7.0", "", { "dependencies": { "abort-controller": "^3.0.0", "buffer": "^6.0.3", "events": "^3.3.0", "process": "^0.11.10", "string_decoder": "^1.3.0" } }, "sha512-oIGGmcpTLwPga8Bn6/Z75SVaH1z5dUut2ibSyAMVhmUggWpmDn2dapB0n7f8nwaSiRtepAsfJyfXIO5DCVAODg=="],
+
+    "readable-web-to-node-stream": ["readable-web-to-node-stream@3.0.4", "", { "dependencies": { "readable-stream": "^4.7.0" } }, "sha512-9nX56alTf5bwXQ3ZDipHJhusu9NTQJ/CVPtb/XHAJCXihZeitfJvIRS4GqQ/mfIoOE3IelHMrpayVrosdHBuLw=="],
+
     "reading-time": ["reading-time@1.5.0", "", {}, "sha512-onYyVhBNr4CmAxFsKS7bz+uTLRakypIe4R+5A824vBSkQy/hB3fZepoVEf8OVAxzLvK+H/jm9TzpI3ETSm64Kg=="],
 
     "remark-cjk-friendly": ["remark-cjk-friendly@1.2.3", "", { "dependencies": { "micromark-extension-cjk-friendly": "1.2.3" }, "peerDependencies": { "@types/mdast": "^4.0.0", "unified": "^11.0.0" }, "optionalPeers": ["@types/mdast"] }, "sha512-UvAgxwlNk+l9Oqgl/9MWK2eWRS7zgBW/nXX9AthV7nd/3lNejF138E7Xbmk9Zs4WjTJGs721r7fAEc7tNFoH7g=="],
@@ -166,12 +282,26 @@
 
     "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=="],
 
+    "safe-buffer": ["safe-buffer@5.2.1", "", {}, "sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ=="],
+
     "safer-buffer": ["safer-buffer@2.1.2", "", {}, "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="],
 
+    "sax": ["sax@1.6.0", "", {}, "sha512-6R3J5M4AcbtLUdZmRv2SygeVaM7IhrLXu9BmnOGmmACak8fiUtOsYNWUS4uK7upbmHIBbLBeFeI//477BKLBzA=="],
+
+    "simple-xml-to-json": ["simple-xml-to-json@1.2.4", "", {}, "sha512-3MY16e0ocMHL7N1ufpdObURGyX+lCo0T/A+y6VCwosLdH1HSda4QZl1Sdt/O+2qWp48WFi26XEp5rF0LoaL0Dg=="],
+
     "slick": ["slick@1.12.2", "", {}, "sha512-4qdtOGcBjral6YIBCWJ0ljFSKNLz9KkhbWtuGvUyRowl1kxfuE1x/Z/aJcaiilpb3do9bl5K7/1h9XC5wWpY/A=="],
 
     "sprintf-js": ["sprintf-js@1.0.3", "", {}, "sha512-D9cPgkvLlV3t3IzL0D0YLvGA9Ahk4PcvVwUbN0dSGr1aP0Nrt4AEnTUbuGvquEC0mA64Gqt1fzirlRs5ibXx8g=="],
 
+    "string_decoder": ["string_decoder@1.3.0", "", { "dependencies": { "safe-buffer": "~5.2.0" } }, "sha512-hkRX8U1WjJFd8LsDJ2yQ/wWWxaopEsABU1XfkM8A+j0+85JAGppt16cr1Whg6KIbb4okU6Mql6BOj+uup/wKeA=="],
+
+    "strtok3": ["strtok3@6.3.0", "", { "dependencies": { "@tokenizer/token": "^0.3.0", "peek-readable": "^4.1.0" } }, "sha512-fZtbhtvI9I48xDSywd/somNqgUHl2L2cstmXCCif0itOf96jeW18MBSyrLuNicYQVkvpOxkZtkzujiTJ9LW5Jw=="],
+
+    "tinycolor2": ["tinycolor2@1.6.0", "", {}, "sha512-XPaBkWQJdsf3pLKJV9p4qN/S+fm2Oj8AIPo1BTUhg5oxkvm9+SVEGFdhyOz7tTdUTfvxMiAs4sp6/eZO2Ew+pw=="],
+
+    "token-types": ["token-types@4.2.1", "", { "dependencies": { "@tokenizer/token": "^0.3.0", "ieee754": "^1.2.1" } }, "sha512-6udB24Q737UD/SDsKAHI9FCRP7Bqc9D/MQUV02ORQg5iskjtLJlZJNdN4kKtcdtwCeWIwIHDGaUsTsCCAa8sFQ=="],
+
     "trough": ["trough@2.2.0", "", {}, "sha512-tmMpK00BjZiUyVyvrBK7knerNgmgvcV/KLVyuma/SC+TQN167GrMRciANTz09+k3zW8L8t60jWO1GpfkZdjTaw=="],
 
     "undici": ["undici@6.24.0", "", {}, "sha512-lVLNosgqo5EkGqh5XUDhGfsMSoO8K0BAN0TyJLvwNRSl4xWGZlCVYsAIpa/OpA3TvmnM01GWcoKmc3ZWo5wKKA=="],
@@ -186,18 +316,30 @@
 
     "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=="],
 
+    "utif2": ["utif2@4.1.0", "", { "dependencies": { "pako": "^1.0.11" } }, "sha512-+oknB9FHrJ7oW7A2WZYajOcv4FcDR4CfoGB0dPNfxbi4GO05RRnFmt5oa23+9w32EanrYcSJWspUiJkLMs+37w=="],
+
     "valid-data-url": ["valid-data-url@3.0.1", "", {}, "sha512-jOWVmzVceKlVVdwjNSenT4PbGghU0SBIizAev8ofZVgivk/TVHXSbNL8LP6M3spZvkR9/QolkyJavGSX5Cs0UA=="],
 
     "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=="],
 
+    "wasm-feature-detect": ["wasm-feature-detect@1.8.0", "", {}, "sha512-zksaLKM2fVlnB5jQQDqKXXwYHLQUVH9es+5TOOHwGOVJOCeRBCiPjwSg+3tN2AdTCzjgli4jijCH290kXb/zWQ=="],
+
     "web-resource-inliner": ["web-resource-inliner@8.0.0", "", { "dependencies": { "ansi-colors": "^4.1.1", "escape-goat": "^3.0.0", "htmlparser2": "^9.1.0", "mime": "^2.4.6", "valid-data-url": "^3.0.0" } }, "sha512-Ezr98sqXW/+OCGoUEXuOKVR+oVFlSdn1tIySEEJdiSAw4IjrW8hQkwARSSBJTSB5Us5dnytDgL0ZDliAYBhaNA=="],
 
     "whatwg-encoding": ["whatwg-encoding@3.1.1", "", { "dependencies": { "iconv-lite": "0.6.3" } }, "sha512-6qN4hJdMwfYBtE3YBTTHhoeuUrDBPZmbQaxWAqSALV/MeEnR5z1xd8UKud2RAkFoPkmB+hli1TZSnyi84xz1vQ=="],
 
     "whatwg-mimetype": ["whatwg-mimetype@4.0.0", "", {}, "sha512-QaKxh0eNIi2mE9p2vEdzfagOKHCcj1pJ56EEHGQOVxp8r9/iszLUUV7v89x9O1p/T+NlTM5W7jW6+cz4Fq1YVg=="],
 
+    "xml-parse-from-string": ["xml-parse-from-string@1.0.1", "", {}, "sha512-ErcKwJTF54uRzzNMXq2X5sMIy88zJvfN2DmdoQvy7PAFJ+tPRU6ydWuOKNMyfmOjdyBQTFREi60s0Y0SyI0G0g=="],
+
+    "xml2js": ["xml2js@0.5.0", "", { "dependencies": { "sax": ">=0.6.0", "xmlbuilder": "~11.0.0" } }, "sha512-drPFnkQJik/O+uPKpqSgr22mpuFHqKdbS835iAQrUC73L2F5WkboIRd63ai/2Yg6I1jzifPFKH2NTK+cfglkIA=="],
+
+    "xmlbuilder": ["xmlbuilder@11.0.1", "", {}, "sha512-fDlsI/kFEx7gLvbecc0/ohLG50fugQp8ryHzMTuW9vSa1GJ0XYWKnhsUx7oie3G98+r56aTQIUB4kht42R3JvA=="],
+
+    "zod": ["zod@3.25.76", "", {}, "sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ=="],
+
     "zwitch": ["zwitch@2.0.4", "", {}, "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A=="],
 
     "dom-serializer/entities": ["entities@4.5.0", "", {}, "sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw=="],
@@ -205,5 +347,9 @@
     "htmlparser2/entities": ["entities@4.5.0", "", {}, "sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw=="],
 
     "parse5/entities": ["entities@6.0.1", "", {}, "sha512-aN97NXWF6AWBTahfVOIrB/NShkzi5H7F9r1s9mD3cDj4Ko5f2qhhVoYMibXF7GlLveb/D2ioWay8lxI97Ven3g=="],
+
+    "pixelmatch/pngjs": ["pngjs@6.0.0", "", {}, "sha512-TRzzuFRRmEoSW/p1KVAmiOgPco2Irlah+bGFCeNfJXxxYGwSw7YwAOAcd7X28K/m5bjBWKsC29KyoMfHbypayg=="],
+
+    "web-resource-inliner/mime": ["mime@2.6.0", "", { "bin": { "mime": "cli.js" } }, "sha512-USPkMeET31rOMiarsBNIHZKLGgvKc/LrjofAnBlOttf5ajRvqiRA8QsenbcooctK6d6Ts6aqZXBA+XbkKthiQg=="],
   }
 }

skills/baoyu-post-to-wechat/scripts/package.json

@@ -3,7 +3,9 @@
   "private": true,
   "type": "module",
   "dependencies": {
+    "@jsquash/webp": "^1.5.0",
     "baoyu-chrome-cdp": "file:./vendor/baoyu-chrome-cdp",
-    "baoyu-md": "file:./vendor/baoyu-md"
+    "baoyu-md": "file:./vendor/baoyu-md",
+    "jimp": "^1.6.0"
   }
 }

skills/baoyu-post-to-wechat/scripts/wechat-api.ts

@@ -3,6 +3,11 @@ import path from "node:path";
 import { spawnSync } from "node:child_process";
 import { fileURLToPath } from "node:url";
 import { loadWechatExtendConfig, resolveAccount, loadCredentials } from "./wechat-extend-config.ts";
+import {
+  type WechatUploadAsset,
+  prepareWechatBodyImageUpload,
+  needsWechatBodyImageProcessing,
+} from "./wechat-image-processor.ts";
 
 interface AccessTokenResponse {
   access_token?: string;
@@ -52,10 +57,10 @@ interface ArticleOptions {
 }
 
 const TOKEN_URL = "https://api.weixin.qq.com/cgi-bin/token";
-const UPLOAD_URL = "https://api.weixin.qq.com/cgi-bin/material/add_material";
+const UPLOAD_BODY_IMG_URL = "https://api.weixin.qq.com/cgi-bin/media/uploadimg";
+const UPLOAD_MATERIAL_URL = "https://api.weixin.qq.com/cgi-bin/material/add_material";
 const DRAFT_URL = "https://api.weixin.qq.com/cgi-bin/draft/add";
 
-
 async function fetchAccessToken(appId: string, appSecret: string): Promise<string> {
   const url = `${TOKEN_URL}?grant_type=client_credential&appid=${appId}&secret=${appSecret}`;
   const res = await fetch(url);
@@ -72,14 +77,20 @@ async function fetchAccessToken(appId: string, appSecret: string): Promise<strin
   return data.access_token;
 }
 
-async function uploadImage(
+function toHttpsUrl(url: string | undefined): string {
+  if (!url) return "";
+  return url.startsWith("http://") ? url.replace(/^http:\/\//i, "https://") : url;
+}
+
+async function loadUploadAsset(
   imagePath: string,
-  accessToken: string,
+  baseDir?: string,
-  baseDir?: string
+): Promise<WechatUploadAsset> {
-): Promise<UploadResponse> {
   let fileBuffer: Buffer;
   let filename: string;
   let contentType: string;
+  let fileSize = 0;
+  let fileExt = "";
 
   if (imagePath.startsWith("http://") || imagePath.startsWith("https://")) {
     const response = await fetch(imagePath);
@@ -91,8 +102,10 @@ async function uploadImage(
       throw new Error(`Remote image is empty: ${imagePath}`);
     }
     fileBuffer = Buffer.from(buffer);
+    fileSize = buffer.byteLength;
     const urlPath = imagePath.split("?")[0];
     filename = path.basename(urlPath) || "image.jpg";
+    fileExt = path.extname(filename).toLowerCase();
     contentType = response.headers.get("content-type") || "image/jpeg";
   } else {
     const resolvedPath = path.isAbsolute(imagePath)
@@ -106,19 +119,85 @@ async function uploadImage(
     if (stats.size === 0) {
       throw new Error(`Local image is empty: ${resolvedPath}`);
     }
+    fileSize = stats.size;
     fileBuffer = fs.readFileSync(resolvedPath);
     filename = path.basename(resolvedPath);
-    const ext = path.extname(filename).toLowerCase();
+    fileExt = path.extname(filename).toLowerCase();
     const mimeTypes: Record<string, string> = {
       ".jpg": "image/jpeg",
       ".jpeg": "image/jpeg",
       ".png": "image/png",
       ".gif": "image/gif",
       ".webp": "image/webp",
+      ".bmp": "image/bmp",
+      ".tiff": "image/tiff",
+      ".tif": "image/tiff",
+      ".svg": "image/svg+xml",
+      ".ico": "image/x-icon",
     };
-    contentType = mimeTypes[ext] || "image/jpeg";
+    contentType = mimeTypes[fileExt] || "image/jpeg";
   }
 
+  return {
+    buffer: fileBuffer,
+    filename,
+    contentType,
+    fileExt,
+    fileSize,
+  };
+}
+
+async function uploadImage(
+  imagePath: string,
+  accessToken: string,
+  baseDir?: string,
+  uploadType: "body" | "material" = "body"
+): Promise<UploadResponse> {
+  const asset = await loadUploadAsset(imagePath, baseDir);
+  let uploadAsset = asset;
+
+  if (uploadType === "body" && needsWechatBodyImageProcessing(asset)) {
+    const prepared = await prepareWechatBodyImageUpload(asset);
+    uploadAsset = {
+      ...asset,
+      buffer: prepared.buffer,
+      filename: prepared.filename,
+      contentType: prepared.contentType,
+      fileExt: path.extname(prepared.filename).toLowerCase(),
+      fileSize: prepared.buffer.length,
+    };
+    const note = prepared.processingNotes.join(", ");
+    console.error(`[wechat-api] Processed ${asset.filename} for body upload: ${note}`);
+  }
+
+  const result = await uploadToWechat(
+    uploadAsset.buffer,
+    uploadAsset.filename,
+    uploadAsset.contentType,
+    accessToken,
+    uploadType,
+  );
+
+  // media/uploadimg 接口只返回 URL，material/add_material 返回 media_id
+  if (uploadType === "body") {
+    return {
+      url: toHttpsUrl(result.url),
+      media_id: "",
+    } as UploadResponse;
+  } else {
+    result.url = toHttpsUrl(result.url);
+    return result;
+  }
+}
+
+// 实际的微信上传函数
+async function uploadToWechat(
+  fileBuffer: Buffer,
+  filename: string,
+  contentType: string,
+  accessToken: string,
+  uploadType: "body" | "material"
+): Promise<UploadResponse> {
   const boundary = `----WebKitFormBoundary${Date.now().toString(16)}`;
   const header = [
     `--${boundary}`,
@@ -133,7 +212,8 @@ async function uploadImage(
   const footerBuffer = Buffer.from(footer, "utf-8");
   const body = Buffer.concat([headerBuffer, fileBuffer, footerBuffer]);
 
-  const url = `${UPLOAD_URL}?access_token=${accessToken}&type=image`;
+  const uploadUrl = uploadType === "body" ? UPLOAD_BODY_IMG_URL : UPLOAD_MATERIAL_URL;
+  const url = `${uploadUrl}?type=image&access_token=${accessToken}`;
   const res = await fetch(url, {
     method: "POST",
     headers: {
@@ -147,10 +227,6 @@ async function uploadImage(
     throw new Error(`Upload failed ${data.errcode}: ${data.errmsg}`);
   }
 
-  if (data.url?.startsWith("http://")) {
-    data.url = data.url.replace(/^http:\/\//i, "https://");
-  }
-
   return data;
 }
 
@@ -159,17 +235,19 @@ async function uploadImagesInHtml(
   accessToken: string,
   baseDir: string,
   contentImages: ImageInfo[] = [],
-): Promise<{ html: string; firstMediaId: string; allMediaIds: string[] }> {
+  articleType: ArticleType = "news",
+  collectNewsCoverFallback: boolean = false,
+): Promise<{ html: string; firstCoverMediaId: string; imageMediaIds: string[] }> {
   const imgRegex = /<img[^>]*\ssrc=["']([^"']+)["'][^>]*>/gi;
   const matches = [...html.matchAll(imgRegex)];
 
   if (matches.length === 0 && contentImages.length === 0) {
-    return { html, firstMediaId: "", allMediaIds: [] };
+    return { html, firstCoverMediaId: "", imageMediaIds: [] };
   }
 
-  let firstMediaId = "";
+  let firstCoverMediaId = "";
   let updatedHtml = html;
-  const allMediaIds: string[] = [];
+  const imageMediaIds: string[] = [];
   const uploadedBySource = new Map<string, UploadResponse>();
 
   for (const match of matches) {
@@ -177,8 +255,13 @@ async function uploadImagesInHtml(
     if (!src) continue;
 
     if (src.startsWith("https://mmbiz.qpic.cn")) {
-      if (!firstMediaId) {
+      if (collectNewsCoverFallback && !firstCoverMediaId) {
-        firstMediaId = src;
+        try {
+          const coverResp = await uploadImage(src, accessToken, baseDir, "material");
+          firstCoverMediaId = coverResp.media_id;
+        } catch (err) {
+          console.error(`[wechat-api] Failed to reuse existing WeChat image as cover: ${src}`, err);
+        }
       }
       continue;
     }
@@ -186,20 +269,31 @@ async function uploadImagesInHtml(
     const localPathMatch = fullTag.match(/data-local-path=["']([^"']+)["']/);
     const imagePath = localPathMatch ? localPathMatch[1]! : src;
 
-    console.error(`[wechat-api] Uploading image: ${imagePath}`);
+    console.error(`[wechat-api] Uploading body image: ${imagePath}`);
     try {
       let resp = uploadedBySource.get(imagePath);
       if (!resp) {
-        resp = await uploadImage(imagePath, accessToken, baseDir);
+        // 正文图片使用 media/uploadimg 接口获取 URL
+        resp = await uploadImage(imagePath, accessToken, baseDir, "body");
         uploadedBySource.set(imagePath, resp);
       }
       const newTag = fullTag
         .replace(/\ssrc=["'][^"']+["']/, ` src="${resp.url}"`)
         .replace(/\sdata-local-path=["'][^"']+["']/, "");
       updatedHtml = updatedHtml.replace(fullTag, newTag);
-      allMediaIds.push(resp.media_id);
+      const shouldUploadMaterial = articleType === "newspic" || (collectNewsCoverFallback && !firstCoverMediaId);
-      if (!firstMediaId) {
+      if (shouldUploadMaterial) {
-        firstMediaId = resp.media_id;
+        let materialResp = uploadedBySource.get(`${imagePath}:material`);
+        if (!materialResp) {
+          materialResp = await uploadImage(imagePath, accessToken, baseDir, "material");
+          uploadedBySource.set(`${imagePath}:material`, materialResp);
+        }
+        if (articleType === "newspic" && materialResp.media_id) {
+          imageMediaIds.push(materialResp.media_id);
+        }
+        if (collectNewsCoverFallback && !firstCoverMediaId && materialResp.media_id) {
+          firstCoverMediaId = materialResp.media_id;
+        }
       }
     } catch (err) {
       console.error(`[wechat-api] Failed to upload ${imagePath}:`, err);
@@ -210,27 +304,38 @@ async function uploadImagesInHtml(
     if (!updatedHtml.includes(image.placeholder)) continue;
 
     const imagePath = image.localPath || image.originalPath;
-    console.error(`[wechat-api] Uploading placeholder image: ${imagePath}`);
+    console.error(`[wechat-api] Uploading body image: ${imagePath}`);
 
     try {
       let resp = uploadedBySource.get(imagePath);
       if (!resp) {
-        resp = await uploadImage(imagePath, accessToken, baseDir);
+        // 正文图片使用 media/uploadimg 接口获取 URL
+        resp = await uploadImage(imagePath, accessToken, baseDir, "body");
         uploadedBySource.set(imagePath, resp);
       }
 
       const replacementTag = `<img src="${resp.url}" style="display: block; width: 100%; margin: 1.5em auto;">`;
       updatedHtml = replaceAllPlaceholders(updatedHtml, image.placeholder, replacementTag);
-      allMediaIds.push(resp.media_id);
+      const shouldUploadMaterial = articleType === "newspic" || (collectNewsCoverFallback && !firstCoverMediaId);
-      if (!firstMediaId) {
+      if (shouldUploadMaterial) {
-        firstMediaId = resp.media_id;
+        let materialResp = uploadedBySource.get(`${imagePath}:material`);
+        if (!materialResp) {
+          materialResp = await uploadImage(imagePath, accessToken, baseDir, "material");
+          uploadedBySource.set(`${imagePath}:material`, materialResp);
+        }
+        if (articleType === "newspic" && materialResp.media_id) {
+          imageMediaIds.push(materialResp.media_id);
+        }
+        if (collectNewsCoverFallback && !firstCoverMediaId && materialResp.media_id) {
+          firstCoverMediaId = materialResp.media_id;
+        }
       }
     } catch (err) {
       console.error(`[wechat-api] Failed to upload placeholder ${image.placeholder}:`, err);
     }
   }
 
-  return { html: updatedHtml, firstMediaId, allMediaIds };
+  return { html: updatedHtml, firstCoverMediaId, imageMediaIds };
 }
 
 async function publishToDraft(
@@ -592,16 +697,6 @@ async function main(): Promise<void> {
   console.error("[wechat-api] Fetching access token...");
   const accessToken = await fetchAccessToken(creds.appId, creds.appSecret);
 
-  console.error("[wechat-api] Uploading images...");
-  const { html: processedHtml, firstMediaId, allMediaIds } = await uploadImagesInHtml(
-    htmlContent,
-    accessToken,
-    baseDir,
-    contentImages,
-  );
-  htmlContent = processedHtml;
-
-  let thumbMediaId = "";
   const rawCoverPath = args.cover ||
     frontmatter.coverImage ||
     frontmatter.featureImage ||
@@ -610,19 +705,31 @@ async function main(): Promise<void> {
   const coverPath = rawCoverPath && !path.isAbsolute(rawCoverPath) && args.cover
     ? path.resolve(process.cwd(), rawCoverPath)
     : rawCoverPath;
+  const needNewsCoverFallback = args.articleType === "news" && !coverPath;
+
+  console.error("[wechat-api] Uploading body images...");
+  const { html: processedHtml, firstCoverMediaId, imageMediaIds } = await uploadImagesInHtml(
+    htmlContent,
+    accessToken,
+    baseDir,
+    contentImages,
+    args.articleType,
+    needNewsCoverFallback,
+  );
+  htmlContent = processedHtml;
+
+  let thumbMediaId = "";
 
   if (coverPath) {
     console.error(`[wechat-api] Uploading cover: ${coverPath}`);
-    const coverResp = await uploadImage(coverPath, accessToken, baseDir);
+    // 封面图片使用 material/add_material 接口
+    const coverResp = await uploadImage(coverPath, accessToken, baseDir, "material");
     thumbMediaId = coverResp.media_id;
-  } else if (firstMediaId) {
+    console.error(`[wechat-api] Cover uploaded successfully, media_id: ${thumbMediaId}`);
-    if (firstMediaId.startsWith("https://")) {
+  } else if (firstCoverMediaId && args.articleType === "news") {
-      console.error(`[wechat-api] Uploading first image as cover: ${firstMediaId}`);
+    // news 类型没有封面时，使用第一张正文图的 media_id 作为封面（兜底逻辑）
-      const coverResp = await uploadImage(firstMediaId, accessToken, baseDir);
+    thumbMediaId = firstCoverMediaId;
-      thumbMediaId = coverResp.media_id;
+    console.error(`[wechat-api] Using first body image as cover (fallback), media_id: ${thumbMediaId}`);
-    } else {
-      thumbMediaId = firstMediaId;
-    }
   }
 
   if (args.articleType === "news" && !thumbMediaId) {
@@ -630,7 +737,7 @@ async function main(): Promise<void> {
     process.exit(1);
   }
 
-  if (args.articleType === "newspic" && allMediaIds.length === 0) {
+  if (args.articleType === "newspic" && imageMediaIds.length === 0) {
     console.error("Error: newspic requires at least one image in content.");
     process.exit(1);
   }
@@ -643,7 +750,7 @@ async function main(): Promise<void> {
     content: htmlContent,
     thumbMediaId,
     articleType: args.articleType,
-    imageMediaIds: args.articleType === "newspic" ? allMediaIds : undefined,
+    imageMediaIds: args.articleType === "newspic" ? imageMediaIds : undefined,
     needOpenComment: resolved.need_open_comment,
     onlyFansCanComment: resolved.only_fans_can_comment,
   }, accessToken);

skills/baoyu-post-to-wechat/scripts/wechat-image-processor.ts

@@ -0,0 +1,252 @@
+import fs from "node:fs/promises";
+import path from "node:path";
+import { fileURLToPath } from "node:url";
+import { Jimp, JimpMime } from "jimp";
+import decodeWebp, { init as initWebpDecode } from "@jsquash/webp/decode.js";
+
+export interface WechatUploadAsset {
+  buffer: Buffer;
+  filename: string;
+  contentType: string;
+  fileExt: string;
+  fileSize: number;
+}
+
+export interface PreparedWechatUploadAsset {
+  buffer: Buffer;
+  filename: string;
+  contentType: string;
+  wasProcessed: boolean;
+  processingNotes: string[];
+}
+
+export const WECHAT_BODY_IMAGE_MAX_SIZE = 1024 * 1024; // 1MB
+export const WECHAT_BODY_IMAGE_UNSUPPORTED_FORMATS = new Set([
+  ".gif",
+  ".webp",
+  ".bmp",
+  ".tiff",
+  ".tif",
+  ".svg",
+  ".ico",
+]);
+
+const BODY_UPLOAD_ALLOWED_MIME_TYPES = new Set([
+  JimpMime.jpeg,
+  JimpMime.png,
+]);
+
+const MIME_TO_EXT: Record<string, string> = {
+  "image/jpeg": ".jpg",
+  "image/png": ".png",
+  "image/gif": ".gif",
+  "image/webp": ".webp",
+  "image/bmp": ".bmp",
+  "image/x-ms-bmp": ".bmp",
+  "image/tiff": ".tiff",
+  "image/svg+xml": ".svg",
+  "image/x-icon": ".ico",
+  "image/vnd.microsoft.icon": ".ico",
+};
+
+const JPEG_QUALITY_STEPS = [82, 74, 66, 58, 50, 42, 34];
+const MAX_WIDTH_STEPS = [2560, 2048, 1600, 1280, 1024, 800, 640, 480];
+
+let webpDecoderReady: Promise<void> | undefined;
+
+type JimpImage = Awaited<ReturnType<typeof Jimp.read>>;
+
+function normalizeMimeType(contentType: string): string {
+  return contentType.split(";")[0]!.trim().toLowerCase();
+}
+
+function extFromMimeType(contentType: string): string {
+  return MIME_TO_EXT[normalizeMimeType(contentType)] || "";
+}
+
+function ensureFileExt(asset: WechatUploadAsset): string {
+  return asset.fileExt || extFromMimeType(asset.contentType);
+}
+
+function basenameWithoutExt(filename: string): string {
+  const base = path.basename(filename, path.extname(filename));
+  return base || "image";
+}
+
+function renameWithExt(filename: string, ext: string): string {
+  return `${basenameWithoutExt(filename)}${ext}`;
+}
+
+export function needsWechatBodyImageProcessing(asset: WechatUploadAsset): boolean {
+  if (asset.fileSize > WECHAT_BODY_IMAGE_MAX_SIZE) {
+    return true;
+  }
+
+  const normalizedMimeType = normalizeMimeType(asset.contentType);
+  if (BODY_UPLOAD_ALLOWED_MIME_TYPES.has(normalizedMimeType)) {
+    return false;
+  }
+
+  const fileExt = ensureFileExt(asset);
+  return WECHAT_BODY_IMAGE_UNSUPPORTED_FORMATS.has(fileExt) || !fileExt;
+}
+
+async function ensureWebpDecoder(): Promise<void> {
+  if (!webpDecoderReady) {
+    webpDecoderReady = (async () => {
+      const __filename = fileURLToPath(import.meta.url);
+      const __dirname = path.dirname(__filename);
+      const wasmPath = path.resolve(__dirname, "node_modules/@jsquash/webp/codec/dec/webp_dec.wasm");
+      const wasmModule = await WebAssembly.compile(await fs.readFile(wasmPath));
+      await initWebpDecode(wasmModule, {});
+    })();
+  }
+
+  await webpDecoderReady;
+}
+
+async function loadImageForProcessing(asset: WechatUploadAsset): Promise<JimpImage> {
+  const fileExt = ensureFileExt(asset);
+  const normalizedMimeType = normalizeMimeType(asset.contentType);
+
+  if (fileExt === ".webp" || normalizedMimeType === "image/webp") {
+    await ensureWebpDecoder();
+    const decoded = await decodeWebp(asset.buffer);
+    return new Jimp({
+      data: Buffer.from(decoded.data.buffer, decoded.data.byteOffset, decoded.data.byteLength),
+      width: decoded.width,
+      height: decoded.height,
+    });
+  }
+
+  if (fileExt === ".svg" || fileExt === ".ico") {
+    throw new Error(`Cannot convert ${fileExt} image for WeChat body upload; provide a PNG or JPG instead.`);
+  }
+
+  return Jimp.read(asset.buffer);
+}
+
+function imageHasTransparency(image: JimpImage): boolean {
+  const { data } = image.bitmap;
+  for (let i = 3; i < data.length; i += 4) {
+    if (data[i] !== 255) {
+      return true;
+    }
+  }
+  return false;
+}
+
+function buildCandidateWidths(width: number): number[] {
+  const candidates = new Set<number>([width]);
+
+  for (const maxWidth of MAX_WIDTH_STEPS) {
+    if (width > maxWidth) {
+      candidates.add(maxWidth);
+    }
+  }
+
+  return [...candidates].sort((a, b) => b - a);
+}
+
+function resizeToWidth(image: JimpImage, width: number): JimpImage {
+  const cloned = image.clone();
+  if (width < image.bitmap.width) {
+    cloned.resize({ w: width });
+  }
+  return cloned;
+}
+
+function flattenOnWhite(image: JimpImage): JimpImage {
+  const flattened = new Jimp({
+    width: image.bitmap.width,
+    height: image.bitmap.height,
+    color: 0xffffffff,
+  });
+  flattened.composite(image, 0, 0);
+  return flattened;
+}
+
+async function encodePng(image: JimpImage): Promise<Buffer> {
+  return image.getBuffer(JimpMime.png);
+}
+
+async function encodeJpeg(image: JimpImage, quality: number): Promise<Buffer> {
+  const jpegSource = imageHasTransparency(image) ? flattenOnWhite(image) : image;
+  return jpegSource.getBuffer(JimpMime.jpeg, { quality });
+}
+
+function buildProcessingNotes(asset: WechatUploadAsset): string[] {
+  const notes: string[] = [];
+  const fileExt = ensureFileExt(asset);
+
+  if (fileExt && WECHAT_BODY_IMAGE_UNSUPPORTED_FORMATS.has(fileExt)) {
+    notes.push(`converted unsupported ${fileExt} source`);
+  }
+
+  if (asset.fileSize > WECHAT_BODY_IMAGE_MAX_SIZE) {
+    notes.push(`compressed ${(asset.fileSize / 1024 / 1024).toFixed(2)}MB source below 1MB`);
+  }
+
+  if (notes.length === 0) {
+    notes.push("re-encoded for WeChat body upload");
+  }
+
+  return notes;
+}
+
+export async function prepareWechatBodyImageUpload(
+  asset: WechatUploadAsset,
+): Promise<PreparedWechatUploadAsset> {
+  if (!needsWechatBodyImageProcessing(asset)) {
+    return {
+      buffer: asset.buffer,
+      filename: asset.filename,
+      contentType: asset.contentType,
+      wasProcessed: false,
+      processingNotes: [],
+    };
+  }
+
+  const image = await loadImageForProcessing(asset);
+  const widths = buildCandidateWidths(image.bitmap.width);
+  const preferPng = imageHasTransparency(image) || ensureFileExt(asset) === ".png";
+  const processingNotes = buildProcessingNotes(asset);
+
+  for (const width of widths) {
+    const resized = resizeToWidth(image, width);
+
+    if (preferPng) {
+      const pngBuffer = await encodePng(resized);
+      if (pngBuffer.length <= WECHAT_BODY_IMAGE_MAX_SIZE) {
+        return {
+          buffer: pngBuffer,
+          filename: renameWithExt(asset.filename, ".png"),
+          contentType: JimpMime.png,
+          wasProcessed: true,
+          processingNotes: width < image.bitmap.width
+            ? [...processingNotes, `resized to ${width}px wide`]
+            : processingNotes,
+        };
+      }
+    }
+
+    for (const quality of JPEG_QUALITY_STEPS) {
+      const jpegBuffer = await encodeJpeg(resized, quality);
+      if (jpegBuffer.length <= WECHAT_BODY_IMAGE_MAX_SIZE) {
+        const notes = [...processingNotes, `encoded as JPEG (${quality} quality)`];
+        if (width < image.bitmap.width) {
+          notes.push(`resized to ${width}px wide`);
+        }
+        return {
+          buffer: jpegBuffer,
+          filename: renameWithExt(asset.filename, ".jpg"),
+          contentType: JimpMime.jpeg,
+          wasProcessed: true,
+          processingNotes: notes,
+        };
+      }
+    }
+  }
+
+  throw new Error(`Unable to reduce ${asset.filename} below 1MB for WeChat body upload.`);
+}