中文文档

Search WeChat public account (公众号) articles by keyword. Returns structured JSON with title, summary, publish time, source account, and link — no API key required.

npx skills add zjp1997720/wechat-article-search -g -a codex --skill wechat-article-search -y

• Node.js 18+ (tested on Node 20)
• One npm dependency: cheerio. Run npm install inside the skill folder after install.

• Keyword search across WeChat public accounts via Sogou WeChat Search — returns 1–50 articles per query.
• Structured output: title, URL, summary, publish datetime, date text, relative time, source account name.
• Optional real-URL resolution (-r): converts Sogou redirect links into mp.weixin.qq.com direct links when reachable.
• Optional file output (-o): writes JSON to disk for archival.

The skill drives a single self-contained Node.js script (scripts/search_wechat.js) that queries Sogou WeChat Search (weixin.sogou.com), parses the result HTML with cheerio, and emits structured JSON to stdout. No API keys, no MCP tools, no platform coupling — it works in any agent runtime that can run node.

Search WeChat articles about "Loop Engineering", give me 10.

搜一下"AI培训"相关的公众号文章，要 5 条，保存到 result.json。

node scripts/search_wechat.js "<keyword>" [-n <count>] [-o <output.json>] [-r]

First run: npm install in the skill folder to pull cheerio.

• Uses public Sogou WeChat Search as the data source. Anti-bot rate limiting can intermittently return empty results or block URL resolution — retry with a different keyword or wait.
• -r URL resolution succeeds inconsistently under Sogou's anti-spider policy. Failures keep the Sogou redirect link and set url_resolved: false.
• For study and research only. Do not use for large-scale commercial crawling. Excessive use may get your IP temporarily blocked.

.
├── README.md
├── README.zh-CN.md
├── LICENSE
├── SKILL.md
├── agents/openai.yaml
├── package.json
└── scripts/
    └── search_wechat.js

MIT