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Official Verified browser automation Safety 4/5

wechat-article-fetcher

微信公众号文章链接处理。当用户发送微信公众号文章链接时,自动获取并提取文章内容。 触发条件:(1) 用户发送 http(s)://mp.weixin.qq.com/s/ 开头的链接 (2) 用户请求获取公众号文章内容

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/alienhub/wechat-article-skill
Or

What This Skill Does

The wechat-article-fetcher is a specialized OpenClaw skill designed to automate the retrieval and processing of content from WeChat Official Accounts (mp.weixin.qq.com). Given the restrictive nature of WeChat's web architecture, this skill employs a robust, multi-tiered approach to ensure content extraction is both successful and reliable. It intelligently parses the provided link, handles HTTP headers to mimic human browsers to prevent 403 Forbidden errors, and extracts the core text, author info, and title metadata into a format that the OpenClaw agent can easily consume and summarize for the user.

Installation

To integrate this skill into your environment, run the following command in your terminal: clawhub install openclaw/skills/skills/alienhub/wechat-article-skill Ensure your system has the required dependencies installed by running pip install -r requirements.txt within the skill's source directory to maintain compatibility with the helper scripts.

Use Cases

This skill is ideal for knowledge management and research workflows. Users who regularly curate industry news, technical tutorials, or long-form analysis from WeChat can use this agent to quickly summarize these articles without having to navigate the cluttered mobile-centric WeChat web interface. It is particularly useful for building a private knowledge base or updating team wikis based on external publications.

Example Prompts

  1. "Could you please read the following WeChat article and summarize the key takeaways for me? https://mp.weixin.qq.com/s/example_id_123"
  2. "Extract the main arguments and the author's credentials from this WeChat link: https://mp.weixin.qq.com/s/tech_article_456"
  3. "Fetch the content of this article and save it as a structured note: https://mp.weixin.qq.com/s/news_789"

Tips & Limitations

The wechat-article-fetcher uses get_content.py as its primary engine, which is highly efficient for standard text extraction. If the primary script fails due to dynamic anti-crawling measures, the skill is programmed to fall back to the browser tool. Note that some articles may require a login to display full content, and certain pages may have restricted access periods. Always ensure you are providing a valid mp.weixin.qq.com/s/ URL to ensure the regex triggers correctly.

Metadata

Author@alienhub
Stars4473
Views1
Updated2026-05-01
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-alienhub-wechat-article-skill": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#wechat#web-scraping#automation#content-parsing
Safety Score: 4/5

Flags: network-access, code-execution