A specialized tool for extracting complete text, titles, and metadata from WeChat Public Account articles without requiring a login.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weixin-reader-oc-local
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install weixin-reader-oc-local using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is WeChat Article Reader?
The WeChat Article Reader is a technical solution designed to overcome the limitations of standard web scraping when dealing with the WeChat (Weixin) ecosystem. Most tools fail to access WeChat Public Account links because they require authentication; however, this skill leverages a specialized extraction workflow to retrieve content directly from mp.weixin.qq.com. By integrating this into your Openclaw Skills library, you can empower your AI agent to read, summarize, and process Chinese social media content with high fidelity.
This skill is particularly valuable for researchers and developers who need to bridge the gap between the closed WeChat environment and their local AI workflows. It ensures that the agent receives clean, structured data instead of messy HTML, facilitating better comprehension and analysis.
WeChat Article Reader Use Cases
- Processing WeChat Public Account links shared during chat sessions.
- Summarizing long-form articles for quick information consumption.
- Extracting clean text for archival or knowledge base integration.
- Retrieving specific metadata like author names and publication dates for research purposes.
How WeChat Article Reader Works
- The agent detects a WeChat article URL following the
https://mp.weixin.qq.com/s/xxxformat. - The skill invokes the
extract_content_from_websitestool instead of standard web fetchers to bypass login walls. - It performs a sanitization pass to remove HTML tags, navigation menus, and advertising scripts.
- The system identifies and extracts key data points: Article Title, Author, Publish Date, and the full Body Content.
- The structured data is returned to the agent for further processing or user presentation.
WeChat Article Reader Setup
To enable this capability within your Openclaw Skills environment, ensure the skill is registered in your local configuration. No external API keys or WeChat logins are required.
# Example of how to trigger the extraction task via prompt
{
"tasks": [
{
"prompt": "Extract the full text, title, author, and date.",
"url": "https://mp.weixin.qq.com/s/your_article_id"
}
]
}
WeChat Article Reader Data Schema & Taxonomy
| Element | Type | Description |
|---|---|---|
| Title | String | The headline of the article |
| Author | String | The creator or public account name |
| Date | ISO/String | The original publication date |
| Content | Markdown | The cleaned, full-text body of the article |
WeChat Article Reader Advanced Features
- Zero-login architecture allows for seamless extraction without session management.
- Automatic noise reduction filters out non-content elements like ads and footer links.
- High-performance extraction optimized for Openclaw Skills workflows.
- Native support for the specific URL architecture used by the WeChat mobile and web ecosystem.
SKILL.md
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