An automated browser-based tool for extracting, cleaning, and summarizing long-form articles from major Chinese content platforms.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install toutiao-article-reader
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 toutiao-article-reader using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Toutiao Article Reader is a sophisticated addition to the ecosystem of Openclaw Skills, specifically engineered to streamline information retrieval from popular platforms such as Toutiao, WeChat Official Accounts, Zhihu, and Xueqiu. By utilizing headless browser automation, it overcomes the limitations of standard scrapers to access and process long-form content with high precision.
This skill focuses on delivering a distraction-free reading experience by automatically identifying the source platform and applying optimized extraction rules. It effectively strips away advertisements and watermarks, providing a clean dataset that includes titles, authors, and publication dates alongside the core text. By integrating AI-driven analysis, it transforms lengthy articles into concise, actionable summaries within the workflow of Openclaw Skills.
To integrate this capability into your project using Openclaw Skills, you must install the required automation and parsing libraries. Follow these steps to prepare your environment:
pip install playwright beautifulsoup4
playwright install chromium
Note: The initial execution will download the Chromium browser (approximately 100MB). Accessing pages typically takes between 5 to 10 seconds to ensure full content rendering.
The skill structures extracted data to ensure compatibility with various data pipelines. Below is the metadata taxonomy used:
| Attribute | Type | Description |
|---|---|---|
| Title | String | The main headline of the article |
| Author | String | The name of the content creator or publisher |
| Timestamp | String | The original date and time of publication |
| Content | Markdown | The cleaned, high-quality main text body |
| Summary | String | AI-generated summary of key points |
| Stats | Object | Includes word_count and estimated_read_time |
Loading
A professional diagnostic tool designed to optimize Amazon listings for maximum AI visibility and sales conversion through 5-dimensional analysis.

A strategic brand protection system for Amazon sellers to analyze reviews, improve product quality, and manage feedback through official compliance channels.

A scientific pricing assistant designed to replace guesswork with data-driven cost analysis and competitor benchmarking for Amazon sellers.

A specialized optimization tool designed to ensure your Amazon products are prioritized and recommended by Rufus, Amazon's AI shopping assistant.

A governance framework for AI agents to handle user memory with explicit approval and sensitivity checks.

A data-driven diagnostic tool that quantifies Amazon listing performance and traffic potential using the A9 algorithm framework.








































