How do I install the Wechat Article skill?

Run npx skillmds@latest add mason-1011/wechat-article in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Wechat Article safe to use?

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Which AI agents work with Wechat Article?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Wechat Article free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Wechat Article?

Mason-1011 (@mason-1011) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Wechat Article by mason-1011 — Agent Skill

Name: Wechat Article
Author: Mason-1011

Wechat Article

Search WeChat Official Accounts, list their articles, and fetch full article content with auto-login via QR code. Use when the user wants to search WeChat accounts, find WeChat articles, fetch WeChat article content, or work with WeChat Official Account (公众号) articles.

Mason-1011 a56eb99 12 files · 52.4 KB Updated Sep 17, 2026

File contents

WeChat Article Fetcher

Fetches articles from WeChat Official Accounts (微信公众号).

All scripts are in ${CLAUDE_SKILL_DIR}/scripts/. Run commands from that directory.

Setup (first time on a new machine)

pip install requests PyYAML beautifulsoup4 lxml playwright
python -m playwright install firefox

Token Auto-Login

search and list commands automatically check the token. If expired or missing, they trigger QR code login — no manual check/login needed.

When auto-login triggers:

QR code image is saved and opened (Windows) automatically
Tell the user: "请用微信扫描二维码登录公众平台"
Wait for the command to complete (up to 5 minutes)
Login succeeds → original command proceeds automatically
Login fails → tell user "扫码登录失败，请重试" and suggest running the command again

Commands

搜索公众号

cd "${CLAUDE_SKILL_DIR}/scripts" && python __main__.py search "ACCOUNT_NAME" --limit 10

按名称搜索公众号，返回 fakeid、名称、别名。fakeid 用于获取文章列表。

When search returns multiple accounts, use AskUserQuestion to let the user pick which account to use. Present each account as an option with nickname (and alias if available) as the label, and fakeid as the value. Then use the selected fakeid for the subsequent list command.

获取文章列表

cd "${CLAUDE_SKILL_DIR}/scripts" && python __main__.py list "FAKEID" --name "ACCOUNT_NAME" --pages 2

分页获取公众号历史文章，每页约5篇。返回标题、链接、封面、摘要、时间戳。

获取文章全文

cd "${CLAUDE_SKILL_DIR}/scripts" && python __main__.py fetch "https://mp.weixin.qq.com/s/ARTICLE_ID"

提取文章完整内容，返回标题、作者、描述、正文(HTML)、发布时间、公众号信息。无需 token，直接打开文章 URL。

手动登录

cd "${CLAUDE_SKILL_DIR}/scripts" && python __main__.py login

手动触发扫码登录，用于 token 失效时重新获取。

检查 Token

cd "${CLAUDE_SKILL_DIR}/scripts" && python __main__.py check-token

检查当前 token 是否有效，过期时需重新登录。

Error Handling

Auto-login succeeds → original command proceeds, no extra action
Auto-login fails → tell user to try the command again
search returns RATE_LIMITED → wait 30-60s, retry
fetch returns ENV_ERROR → IP blocked, wait and retry
fetch returns DELETED → article removed by author
fetch returns FETCH_ERROR → may retry once

Notes

Add 3-10 second delays between API requests
fetch takes 10-30s per article (headless Playwright/Firefox)
All commands output JSON to stdout
content from fetch is HTML
Start with --pages 1 for article lists

---name: wechat-articledescription: Search WeChat Official Accounts, list their articles, and fetch full article content with auto-login via QR code. Use when the user wants to search WeChat accounts, find WeChat articles, fetch WeChat article content, or work with WeChat Official Account (公众号) articles.license: MIT---# WeChat Article FetcherFetches articles from WeChat Official Accounts (微信公众号).All scripts are in `${CLAUDE_SKILL_DIR}/scripts/`. Run commands from that directory.## Setup (first time on a new machine)```bashpip install requests PyYAML beautifulsoup4 lxml playwrightpython -m playwright install firefox```## Token Auto-Login**`search` and `list` commands automatically check the token. If expired or missing, they trigger QR code login — no manual check/login needed.**When auto-login triggers:1. QR code image is saved and opened (Windows) automatically2. Tell the user: "请用微信扫描二维码登录公众平台"3. Wait for the command to complete (up to 5 minutes)4. Login succeeds → original command proceeds automatically5. Login fails → tell user "扫码登录失败，请重试" and suggest running the command again## Commands### 搜索公众号```bashcd "${CLAUDE_SKILL_DIR}/scripts" && python __main__.py search "ACCOUNT_NAME" --limit 10```按名称搜索公众号，返回 fakeid、名称、别名。fakeid 用于获取文章列表。**When `search` returns multiple accounts, use `AskUserQuestion` to let the user pick which account to use.** Present each account as an option with `nickname` (and `alias` if available) as the label, and `fakeid` as the value. Then use the selected `fakeid` for the subsequent `list` command.### 获取文章列表```bashcd "${CLAUDE_SKILL_DIR}/scripts" && python __main__.py list "FAKEID" --name "ACCOUNT_NAME" --pages 2```分页获取公众号历史文章，每页约5篇。返回标题、链接、封面、摘要、时间戳。### 获取文章全文```bashcd "${CLAUDE_SKILL_DIR}/scripts" && python __main__.py fetch "https://mp.weixin.qq.com/s/ARTICLE_ID"```提取文章完整内容，返回标题、作者、描述、正文(HTML)、发布时间、公众号信息。无需 token，直接打开文章 URL。### 手动登录```bashcd "${CLAUDE_SKILL_DIR}/scripts" && python __main__.py login```手动触发扫码登录，用于 token 失效时重新获取。### 检查 Token```bashcd "${CLAUDE_SKILL_DIR}/scripts" && python __main__.py check-token```检查当前 token 是否有效，过期时需重新登录。## Error Handling- Auto-login succeeds → original command proceeds, no extra action- Auto-login fails → tell user to try the command again- `search` returns `RATE_LIMITED` → wait 30-60s, retry- `fetch` returns `ENV_ERROR` → IP blocked, wait and retry- `fetch` returns `DELETED` → article removed by author- `fetch` returns `FETCH_ERROR` → may retry once## Notes- Add 3-10 second delays between API requests- `fetch` takes 10-30s per article (headless Playwright/Firefox)- All commands output JSON to stdout- `content` from `fetch` is HTML- Start with `--pages 1` for article lists

Frequently asked questions