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Wechat Article For Ai

作者 soar999 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
142
总下载
0
收藏
4
当前安装
1
版本数
在 OpenClaw 中安装
/install wechat-article-for-ai
功能描述
Convert WeChat Official Account (微信公众号) articles to clean Markdown files with locally downloaded images.
安全使用建议
This package appears to do what it claims, but before installing you should: (1) review and be comfortable with the camoufox dependency (it will auto-download browser components at runtime — a network fetch from its provider); (2) run it in an isolated environment or container if you want to limit network/file access; (3) confirm you trust any WeChat content you fetch (debug HTML and downloaded images are saved to disk); and (4) only enable the MCP server for trusted local AI clients since it exposes convert/batch_convert operations via the local stdio-based MCP transport. If you need extra assurance, audit the camoufox package and pinned dependency versions in requirements.txt before use.
功能分析
Type: OpenClaw Skill Name: wechat-article-for-ai Version: 1.0.0 The skill bundle is a legitimate tool for converting WeChat Official Account articles into Markdown format. It uses the Camoufox library for stealthy web scraping to bypass anti-bot measures and BeautifulSoup for content parsing. The code follows standard practices for CLI and MCP server implementations, with no evidence of data exfiltration, malicious execution, or prompt injection across files like scraper.py, downloader.py, and SKILL.md.
能力评估
Purpose & Capability
Name/description match the implementation: scraper (camoufox), parser, converter, downloader, and an MCP server are present. Required libraries (camoufox, httpx, bs4, markdownify, mcp) are consistent with scraping, rendering, and exposing a local MCP tool.
Instruction Scope
SKILL.md instructs installing Python deps and running the CLI or MCP server; runtime instructions stay within converting articles, downloading images, and optionally saving debug HTML. There are no instructions to read unrelated system files or exfiltrate secrets; the code writes output and debug HTML to the output directory as expected.
Install Mechanism
The registry has no formal install spec but includes a requirements.txt and SKILL.md instructs 'pip install -r requirements.txt'. The tool auto-downloads the Camoufox browser on first run (via the camoufox package) which will fetch browser binaries or resources from the network — this is expected for a headless-browser scraper but is a supply-chain/network fetch worth noting.
Credentials
The skill requests no environment variables, no credentials, and no config paths. Network access (fetching mp.weixin.qq.com pages and CDN image URLs) is necessary for its function and is the only external interaction in the code.
Persistence & Privilege
always is false and the MCP server runs on stdio when started; the skill does not modify other skills or persistent agent-wide settings. It writes outputs to a user-specified output directory only.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install wechat-article-for-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /wechat-article-for-ai 触发
  4. 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
v1.0.0
- Initial release of wechat-article-for-ai. - Converts WeChat Official Account articles to clean Markdown, downloading images locally. - Adds YAML frontmatter (title, author, date, source URL) and preserves code blocks. - Supports batch conversion, various CLI options, and MCP server integration. - Handles CAPTCHAs with optional non-headless mode. - Outputs Markdown plus images in structured directories.
元数据
Slug wechat-article-for-ai
版本 1.0.0
许可证 MIT-0
累计安装 4
当前安装数 4
历史版本数 1
常见问题

Wechat Article For Ai 是什么?

Convert WeChat Official Account (微信公众号) articles to clean Markdown files with locally downloaded images. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 142 次。

如何安装 Wechat Article For Ai?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install wechat-article-for-ai」即可一键安装,无需额外配置。

Wechat Article For Ai 是免费的吗?

是的,Wechat Article For Ai 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Wechat Article For Ai 支持哪些平台?

Wechat Article For Ai 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 Wechat Article For Ai?

由 soar999(@soar999)开发并维护,当前版本 v1.0.0。

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