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在 OpenClaw 中安装
/install wechat-article-fetcher-safe
功能描述
使用 Puppeteer + Chrome 无头模式抓取微信公众号文章，支持移动端伪装，提取全文及元信息并自动保存文本。
安全使用建议
This skill appears to do what it claims: locally launch Chrome via puppeteer-core, render a WeChat article, extract content, and save files. Before installing, note: (1) you must run npm install (puppeteer-core) and have a compatible local Chrome installed — puppeteer-core does not ship Chromium; (2) the tool will connect to the article URL and download images from whichever hosts the page references (page scripts may also trigger additional network activity), so the SKILL.md phrase 'no data sent to external servers' only means the skill doesn't exfiltrate additional private data deliberately; it still fetches remote page resources as part of scraping; (3) run this in a normal user account (avoid elevated privileges) and review the code if you plan to run it on sensitive systems; (4) if you want stricter network controls, run it in an isolated environment or sandbox to limit outgoing connections. Overall the package is internally consistent and not suspicious.
功能分析
Type: OpenClaw Skill
Name: wechat-article-fetcher-safe
Version: 2.0.1
The skill bundle is a legitimate tool for fetching and converting WeChat articles to Markdown/HTML using Puppeteer. The core logic in `fetch-wechat-article.js` performs standard web scraping, DOM traversal, and image downloading to the local file system, consistent with the stated purpose in `SKILL.md`. No evidence of data exfiltration, unauthorized network calls, or malicious instructions was found.
能力评估
Purpose & Capability
Name/description (WeChat article fetcher) match the code and package.json: it uses puppeteer-core + local Chrome, opens the article URL, extracts text/metadata, and optionally downloads images. Declared capabilities (file_read, file_write, exec, browser) are appropriate for the task.
Instruction Scope
SKILL.md instructions stick to launching the script and running Puppeteer. One important caveat: the README/SKILL.md claim '不发送数据到任何外部服务器' is somewhat misleading — the skill necessarily connects to the provided mp.weixin.qq.com URL and to remote image hosts, and page JavaScript executed in the loaded page can make additional network requests. The instructions do not ask the agent to read unrelated files or environment variables.
Install Mechanism
There is no formal install spec in the skill metadata, but package.json declares puppeteer-core. Installation requires running npm install locally (as documented). puppeteer-core does not bundle Chromium, so a local Chrome is required (the script auto-detects common paths). No downloads from unknown personal servers or URL shorteners were observed in the code.
Credentials
The skill requests no environment variables or credentials. It only needs access to a local Chrome binary and filesystem write access to save outputs — both are proportionate to its purpose.
Persistence & Privilege
always: false and normal agent invocation. The skill does not request permanent/global presence or attempt to modify other skills. File write and exec permissions are expected for saving results and launching Chrome.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install wechat-article-fetcher-safe - 安装完成后，直接呼叫该 Skill 的名称或使用
/wechat-article-fetcher-safe触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v2.0.1
- Removed test files and legacy test outputs for a cleaner repository.
- Added a new GitHub-focused README and project metadata file.
- Updated documentation to reflect new repo location and privacy guarantees.
- Improved clarity: streamlined feature description, file structure, and troubleshooting sections.
- Removed unused OCR-related dependencies and instructions.
v2.0.0
**Major update: project files and auxiliary docs removed for a cleaner, production-ready release.**
- Removed four files: .clawhub/origin.json, .gitignore, README.github.md, UPLOAD.md
- Streamlined repository structure by deleting project meta/config and upload guideline files
- Skill documentation (SKILL.md) remains unchanged
- Core functionality and user-facing documentation are unaffected
v1.1.0
**WeChat Article Fetcher Safe v1.1.0**
- Renamed skill to "wechat-article-fetcher-safe" to highlight improved privacy protection.
- Added new test output files and a unified test runner (run-tests.js) for streamlined testing.
- Enhanced article content cleaning and failure detection mechanisms.
- Implemented automatic Chrome path detection for better portability.
- Updated documentation, usage instructions, and file structure examples.
v1.0.0
WeChat Article Fetcher v1.0.0
- Initial release.
- Supports full-text fetching of WeChat official account articles, including metadata extraction (title, author, time).
- Uses Puppeteer with Chrome in headless mode and mobile User-Agent spoofing to bypass anti-scraping.
- Handles dynamic rendering, automatic saving to text files, error handling, and timeout protection.
- Achieved 100% success rate in 3/3 tests.
元数据
常见问题
微信文章抓取器 - 安全版 是什么？
使用 Puppeteer + Chrome 无头模式抓取微信公众号文章，支持移动端伪装，提取全文及元信息并自动保存文本。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 264 次。
如何安装 微信文章抓取器 - 安全版？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install wechat-article-fetcher-safe」即可一键安装，无需额外配置。
微信文章抓取器 - 安全版 是免费的吗？
是的，微信文章抓取器 - 安全版 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
微信文章抓取器 - 安全版 支持哪些平台？
微信文章抓取器 - 安全版 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 微信文章抓取器 - 安全版？
由 Adgai115（@adgai115）开发并维护，当前版本 v2.0.1。
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