A specialized tool for Openclaw Skills that enables AI agents to fetch and parse content from WeChat Official Account articles.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weixin-reader-plus
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install weixin-reader-plus using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The WeChat Article Reader is a powerful utility within the Openclaw Skills ecosystem designed to bridge the gap between AI agents and the closed ecosystem of WeChat. It allows developers and researchers to programmatically retrieve clean text, titles, and publisher metadata from WeChat Official Account links (mp.weixin.qq.com). By leveraging mobile User-Agent emulation, this skill ensures that content is fetched as it would appear in the native WeChat environment.
Integrating this tool into your AI workflows via Openclaw Skills provides a streamlined path for data extraction without manual copy-pasting. It is specifically optimized to handle the unique redirects and structure of the WeChat platform, making it an essential component for agents tasked with processing Chinese-language technical or news content.
To use this feature within your Openclaw Skills environment, ensure you have the Python dependencies installed:
pip install httpx beautifulsoup4
You can then run the reader directly from the CLI to test its functionality:
python3 ~/.claude/skills/weixin_reader/weixin_reader.py "https://mp.weixin.qq.com/s?__biz=example"
The skill organizes extracted data into a structured text format for easy agent consumption:
| Attribute | Description |
|---|---|
| Title | The primary headline of the article |
| Official Account | The name of the WeChat Official Account that published the piece |
| Body Content | The full, cleaned text content of the article |
All metadata is separated from the main body content by clear Markdown delimiters within the Openclaw Skills output.
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