A high-performance extraction tool for retrieving full text 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
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 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 (weixin-reader-oc)?
The WeChat Article Reader is a specialized tool within the Openclaw Skills ecosystem designed to bridge the gap between AI agents and the closed ecosystem of WeChat Public Accounts. By utilizing advanced extraction techniques, this skill allows users to pull complete article data including titles, authors, and body text directly into their workflow.
Unlike standard web fetching methods that often trigger login walls on the mp.weixin.qq.com platform, this skill uses a dedicated extraction pathway to ensure high-fidelity data retrieval. It is an essential component for developers and researchers who need to process Chinese-language social content within their Openclaw Skills setup, providing a seamless way to analyze articles without authentication friction.
WeChat Article Reader (weixin-reader-oc) Use Cases
- Analyzing or summarizing WeChat Public Account articles shared via direct URLs
- Extracting clean text from mp.weixin.qq.com links for research or archiving purposes
- Automatically retrieving metadata such as publication dates and author names for content tracking
- Providing AI agents with full article context to answer specific user queries about social media posts
How WeChat Article Reader (weixin-reader-oc) Works
- The skill detects a WeChat Public Account URL (format: https://mp.weixin.qq.com/s/xxx) provided in the user prompt.
- It explicitly triggers the extract_content_from_websites tool, which is optimized to handle the specific structure of WeChat articles.
- The system parses the raw HTML, intelligently filtering out non-essential elements like navigation menus, scripts, and advertisements.
- It isolates and extracts core data fields: the article title, the author/publisher name, the publication date, and the full text body.
- The cleaned, structured data is returned to the AI agent for further analysis or response generation.
WeChat Article Reader (weixin-reader-oc) Setup
To integrate this skill into your Openclaw Skills environment, ensure your configuration points to the correct tool definitions.
# Standard setup for Openclaw Skills typically involves adding the skill to your manifest
openclaw-cli add weixin-reader-oc
# Ensure the required extraction dependencies are available
npm install @openclaw/tool-extractor
Note: Ensure your agent is configured to use the extract_content_from_websites tool rather than web_fetch for this specific domain.
WeChat Article Reader (weixin-reader-oc) Data Schema & Taxonomy
The skill returns a structured object containing the following metadata and content fields:
| Attribute | Description | Type |
|---|---|---|
| title | The official headline of the article | String |
| author | The name of the Public Account or the specific author | String |
| date | The original publication date of the post | String |
| content | The complete, cleaned text body of the article | String |
WeChat Article Reader (weixin-reader-oc) Advanced Features
- Zero-login architecture that bypasses standard WeChat authentication barriers
- Specialized HTML filtering that strips ads and UI elements while preserving article integrity
- Native compatibility with the Openclaw Skills data processing pipeline for multi-step workflows
- High-reliability extraction specifically tuned for the mp.weixin.qq.com domain structure
SKILL.md
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