AgentSkillsCN

favorites-harvester

多平台收藏夹/书签路由器，调用原子级技能（bilibili/zhihu/xiaohongshu），为您列出收藏夹（文件夹/合集/看板），并抓取项目文本/字幕以供摘要使用。当用户询问“看看我收藏了哪些/最近收藏了什么”，或提供 B 站/Zhihu/小红书的链接并询问相关内容时，此技能将为您提供支持。

SKILL.md
--- frontmatter
name: favorites-harvester
description: Multi-platform favorites/bookmarks router that calls atomic skills (bilibili/zhihu/xiaohongshu) to list your favorites (folders/collections/boards) and fetch item text/transcripts for summarization. Use when the user asks "看看我收藏了哪些/最近收藏了什么", or provides a B站/知乎/小红书 link and asks what it's about.

Favorites Harvester

Use this skill when you need one entrypoint across platforms. It calls the per-platform skills (no RSSHub).

Docker-first:

  • •See docs/usage.md for docker compose run --rm runner ... examples (no host Python required).

Cookie auth (shared)

  • •Recommended: CookieCloud env vars (COOKIECLOUD_UUID, COOKIECLOUD_PASSWORD, optional COOKIECLOUD_SERVER_URL). Compatibility: also accepts COOKIECLOUDUUID / COOKIECLOUDPASSWORD.
  • •Or set platform-specific cookie env vars (BILIBILI_COOKIE, ZHIHU_COOKIES, XIAOHONGSHU_COOKIE)

Optional: export CookieCloud -> env file (no RSSHub)

bash
docker compose run --rm runner python skills/favorites-harvester/scripts/cookiecloud_export_env.py \
  http://cookiecloud:8088 <uuid> <password> --env-file favorites.env

Quick Start

List favorites across platforms:

bash
docker compose run --rm runner python skills/favorites-harvester/scripts/favorites_harvester.py list --platform all

List only XiaoHongShu saved boards (收藏专辑/收藏夹):

bash
docker compose run --rm runner python skills/favorites-harvester/scripts/favorites_harvester.py list --platform xiaohongshu --xhs-mode boards

Fetch content by URL (auto-detect platform):

bash
docker compose run --rm runner python skills/favorites-harvester/scripts/favorites_harvester.py content --url 'https://www.bilibili.com/video/BV...'
docker compose run --rm runner python skills/favorites-harvester/scripts/favorites_harvester.py content --url 'https://www.zhihu.com/question/.../answer/...'
docker compose run --rm runner python skills/favorites-harvester/scripts/favorites_harvester.py content --url 'https://www.xiaohongshu.com/explore/<noteId>'

List items in a container:

bash
docker compose run --rm runner python skills/favorites-harvester/scripts/favorites_harvester.py items --platform bilibili --folder-id <mediaId> --limit 50
docker compose run --rm runner python skills/favorites-harvester/scripts/favorites_harvester.py items --platform zhihu --collection-id <id> --limit 50
docker compose run --rm runner python skills/favorites-harvester/scripts/favorites_harvester.py items --platform xiaohongshu --board-id <boardId> --limit 50

JSON mode:

  • •Add --json to list/items/content to emit machine-readable JSON.

How It Works

  • •Calls these atomic skills by invoking their scripts (prefers uv run if available; falls back to python):
    • •skills/bilibili-favorites
    • •skills/zhihu-favorites
    • •skills/xiaohongshu-favorites
  • •Use the atomic skill directly when you need advanced flags (e.g. Bilibili subtitle language selection, XHS Playwright options).

Troubleshooting

  • •XHS failures: run with list ... --xhs-no-headless (visible browser).
  • •Bilibili transcript failures: the video may have no subtitle track; use skills/media-audio-download + skills/whisper-transcribe-docker (or other Whisper skills) after downloading audio.