WeChat MP Reader#

Use this skill for 微信公众号文章抓取、公众号反查、文章列表拉取、全文提取。

What this skill should do#

Support these user intents:

• 给一篇公众号文章链接，提取全文
• 给一篇公众号文章链接，识别公众号并列出该号文章
• 给一个公众号名称，查找候选公众号并抓取文章列表
• 检查、保存、复用微信公众号后台 session
• 将文章内容标准化为 markdown / structured JSON

Operating principles#

1. URL-first is the default path. If the user gives an article URL, resolve from it first.
2. Name search is best-effort. If account-name search is unreliable, ask for any article URL from that account.
3. Full text matters more than stats. Article extraction is core; read/like stats are optional.
4. Use layered fallbacks. Try plain HTTP first, but for WeChat articles treat browser fallback as normal whenever the page looks non-canonical (verification page, shell page, or mixed JS page). The current fallback is local Playwright WebKit only.
5. Keep outputs structured. Return normalized account/article objects rather than loose text.
6. Recover fakeid via search when needed. Article pages often expose biz/account name, but not a stable fakeid; when MP backend session is available, try search-based recovery.
7. Treat session validity as first-class state. Report whether session is present/valid, instead of hiding failures in generic warnings.

Default workflow#

Path A — article URL provided#

1. Parse the article URL and extract __biz, mid, idx, sn.
2. Fetch the article page.
3. Extract account metadata from HTML / embedded JS.
4. Load MP backend session from env or session file.
5. Validate session and report session.present / session.valid / session.reason.
6. If fakeid is missing and session is valid, search by account name and match candidates using biz / name.
7. Extract and clean full article content.
8. If requested and fakeid is available, list more articles for that account.

Path B — account name provided#

1. Load and validate MP backend session.
2. Attempt account-name search via the search adapter.
3. Return ranked candidates.
4. If a confident match exists, fetch article list.
5. If search fails or is ambiguous, ask for any article URL from that account and switch to Path A.

Path C — session operations#

Use the bundled CLI to:

• session check — validate current env/file-backed session
• session show — report non-sensitive session presence/length/status
• session save — persist env-provided session to local cache file
• session login-start — start QR login, return scan state, and write a real scannable QR PNG under scripts/cache/wechat-login-qr-real.png
• session login-status — poll login status and capture fresh session when ready

Expected outputs#

Session object#

json

{
  "present": true,
  "valid": false,
  "reason": "invalid session",
  "base_resp": {}
}

Account object#

json

{
  "name": "",
  "biz": "",
  "fakeid": "",
  "avatar": "",
  "signature": ""
}

Article object#

json

{
  "title": "",
  "url": "",
  "publish_time": "",
  "publish_time_raw": "",
  "author": "",
  "account_name": "",
  "content_html": "",
  "content_markdown": "",
  "images": []
}

Implementation notes#

• Prefer the bundled Python prototype at scripts/wechat_mp_reader.py.
• Default live validation path: use the skill's own session commands ( session check, session login-start, session login-status) and then run article <url> --with-account-articles directly via scripts/wechat_mp_reader.py; helper bridge scripts are no longer the default path.
• session login-start now persists a real scannable QR image to scripts/cache/wechat-login-qr-real.png and returns its path in qr_image_path.
• Session resolution order is: env vars first, then saved session file.
• The current article pipeline is URL-first and will automatically fall back to local Playwright WebKit when direct HTTP HTML looks non-canonical.
• Treat article body extraction as the MVP.
• Treat account-name search and historical article listing as adapters that can evolve.
• Treat engagement stats as optional and isolated from the main flow.
• Cache article HTML and parsed results when repeated fetching is likely.
• Cache resolved account mappings ( biz / name -> fakeid) locally to reduce repeated searchbiz lookups.

Files to use#

• scripts/wechat_mp_reader.py — Python prototype and CLI
• scripts/wechat_mp_reader/auth.py — session validation helpers
• scripts/wechat_mp_reader/session_store.py — session load/save helpers
• references/design.md — architecture, implementation phases, and caveats

Read references/design.md when you need the detailed design, adapter responsibilities, or future roadmap. Read references/usage.md when you need the human-facing usage guide, CLI examples, or natural-language invocation patterns for triggering this skill through an agent.