wechat-article-search
zjp1997720/wechat-article-search · skills.sh
Open source Repository Open in the app JSON README (API)
About
Skill publicada por zjp1997720/wechat-article-search no skills.sh. Instale com: npx skills add zjp1997720/wechat-article-search@wechat-article-search
Details
- Kind
- Agent skills
- Publisher
- zjp1997720
- Origin
- skillssh
- Category
- ferramentas
- Stars
- 268
- Forks
- 25
- Last push
- 2026-07-17T01:55:45Z
- Repository state
- ativo
- Language
- JavaScript
- License
- MIT
- Added
- 2026-10-07 05:20:09
- Updated
- 2026-10-07 05:20:09
- Origin id
zjp1997720/wechat-article-search/wechat-article-search
README
> [!IMPORTANT]
> This repository is a generated compatibility mirror. The editable source, Issues, and contributions live in [zjp1997720/zhijian-skills](https://github.com/zjp1997720/zhijian-skills/tree/main/skills/wechat-article-search).
# WeChat Article Search
<p align="center">
<img src="https://raw.githubusercontent.com/zjp1997720/wechat-article-search/HEAD/assets/readme/hero.svg" width="100%" alt="WeChat Article Search turns a keyword into structured public-account article results">
</p>
<p align="center"><strong>Search WeChat public-account articles by keyword and return structured evidence without an API key.</strong></p>
<p align="center"><a href="https://github.com/zjp1997720/wechat-article-search/blob/HEAD/README.zh-CN.md">简体中文</a> · <a href="https://github.com/zjp1997720/zhijian-skills/tree/main/skills/wechat-article-search">Canonical source</a> · <a href="https://github.com/zjp1997720/wechat-article-search">Standalone mirror</a></p>
Use it for topic discovery when you know the keyword but not which WeChat public account published the useful article.
## Agent Install
```bash
npx skills add zjp1997720/wechat-article-search -g -a codex --skill wechat-article-search -y
```
## Requirements
- Node.js 18+ (tested on Node 20)
- One npm dependency: `cheerio`. Run `npm install` inside the skill folder after install.
## What It Does
- **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.
## How It Works
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`.
## Example Requests
```
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。
```
## CLI Usage
```bash
node scripts/search_wechat.js "<keyword>" [-n <count>] [-o <output.json>] [-r]
```
| Flag | Default | Description |
|------|---------|-------------|
| `query` | required | Search keyword |
| `-n, --num` | 10 | Number of results (max 50) |
| `-o, --output` | stdout | Write JSON to a file |
| `-r, --resolve-url` | off | Resolve real `mp.weixin.qq.com` URLs (slower, may fail under anti-bot) |
First run: `npm install` in the skill folder to pull `cheerio`.
## Safety & Limits
- 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.
## Repository Layout
```text
.
├── README.md
├── README.zh-CN.md
├── assets/readme/hero.svg
├── LICENSE
└── skills/wechat-article-search/
├── SKILL.md
├── agents/openai.yaml
├── package.json
└── scripts/search_wechat.js
```
## License
MIT