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Wechat Articles

作者 onlyloveher · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install wechat-tool-v2
功能描述
搜索和读取微信公众号文章的完整工具,支持关键词搜索与全文提取。 **只要用户提到以下任何场景,必须使用此 skill:** (1) 搜索公众号文章、按关键词查找微信内容 (2) 读取、摘要、分析、翻译 mp.weixin.qq.com 链接的内容 (3) 用户说"帮我找公众号文章"、"读这篇微信文章"、"搜索公众...
安全使用建议
This skill appears to do what it says: search and scrape WeChat (mp.weixin.qq.com) articles. Before installing or running it, consider the following: - Playwright: the recommended installation downloads Chromium and native dependencies; expect a large download and elevated system libs. Run this in a controlled environment if you’re cautious. - Third‑party packages: the search uses miku-ai.spider (package 'miku-ai'); review that package’s source or network behavior if you need guarantees about where search queries are sent. - Network activity: the skill performs web requests and renders pages in a browser (which executes page JS). Do not feed it URLs that contain sensitive auth tokens or point to untrusted sites. - Rate limiting & legality: scraping can trigger anti-bot protections or violate site terms — respect rate limits and robots.txt where applicable. If you are comfortable with those tradeoffs, the skill is internally consistent with its purpose. If you need stricter guarantees, review the miku-ai dependency and consider running the code inside a sandbox or VM.
功能分析
Type: OpenClaw Skill Name: wechat-tool-v2 Version: 1.0.0 The skill bundle is a legitimate tool designed to search for and extract content from WeChat Official Account articles. It utilizes standard libraries such as 'requests' and 'BeautifulSoup' for simple scraping, and 'Playwright' for more robust browser-based extraction. The code logic in 'scripts/wechat_articles.py' and 'scripts/wechat_articles_playwright.py' is transparent and focused on parsing HTML elements specific to the WeChat article platform (e.g., 'rich_media_title', 'js_content'). While it includes a dependency on 'miku-ai' for its search functionality, there are no indicators of data exfiltration, unauthorized execution, or malicious prompt injection within the provided files.
能力评估
Purpose & Capability
Name/description (search & read WeChat articles) matches the included code and dependencies: search_articles delegates to miku_ai.spider, and read_article supports requests+BeautifulSoup (simple) and Playwright (stable). Required packages (beautifulsoup4, requests, playwright, miku-ai) and chromium are coherent with web scraping and headless-browser reading.
Instruction Scope
SKILL.md and the scripts instruct the agent to fetch mp.weixin.qq.com pages and to run local Python scripts. The code performs HTTP requests and runs a browser to load pages (which executes page JavaScript). The skill does not request unrelated files, environment variables, or external endpoints beyond normal web requests, but search relies on the third‑party miku-ai library (network behavior of that package is not shown here). Also, Playwright loading arbitrary URLs means the runtime will execute remote page content in a browser context — expected for this purpose but worth noting.
Install Mechanism
There is no automated install spec in the registry, but SKILL.md recommends pip installing packages and running 'playwright install chromium --with-deps'. Playwright will download and extract Chromium and platform libraries (non-trivial, network download). The pip packages (notably 'miku-ai') are third‑party and should be verified before installation.
Credentials
The skill declares no required environment variables, credentials, or config paths. The absence of secret requests is proportionate to its stated functionality.
Persistence & Privilege
The skill does not request always:true or other elevated persistence, and does not modify other skills or system-wide configurations. It runs as an on-demand tool invoked when triggered.
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-tool-v2
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /wechat-tool-v2 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
wechat-articles v1.0.0 - 首次发布,支持微信公众号文章的搜索与全文读取。 - 提供 simple(快速)、playwright(稳定)、auto(三模自动切换)多种读取模式。 - 支持通过关键词搜索和输入文章 URL 提取正文、标题、作者等内容。 - 提供 Python API 调用方式,便于集成和二次开发。 - 完整依赖和使用文档,含安装方法和模式对比说明。
元数据
Slug wechat-tool-v2
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Wechat Articles 是什么?

搜索和读取微信公众号文章的完整工具,支持关键词搜索与全文提取。 **只要用户提到以下任何场景,必须使用此 skill:** (1) 搜索公众号文章、按关键词查找微信内容 (2) 读取、摘要、分析、翻译 mp.weixin.qq.com 链接的内容 (3) 用户说"帮我找公众号文章"、"读这篇微信文章"、"搜索公众... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 122 次。

如何安装 Wechat Articles?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install wechat-tool-v2」即可一键安装,无需额外配置。

Wechat Articles 是免费的吗?

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

Wechat Articles 支持哪些平台?

Wechat Articles 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 Articles?

由 onlyloveher(@onlyloveher)开发并维护,当前版本 v1.0.0。

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