A sophisticated web extraction skill that summarizes articles and social posts using a multi-layered retrieval strategy and browser fallback.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install article-summarizer-plus
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 article-summarizer-plus 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 Article Summarizer?
The Article Summarizer is a specialized tool within the Openclaw Skills ecosystem designed to deliver high-fidelity summaries from diverse web sources. Unlike basic scrapers, it prioritizes the most efficient data retrieval path while maintaining a strict policy against hallucinations, ensuring that every summary is grounded in the actual retrieved text.
By leveraging an intelligent escalation logic, the skill handles complex web environments including dynamic JavaScript rendering and interactive overlays. Whether you are processing long-form journalism or short-form social media threads, this Openclaw Skills component ensures you get the core insights without the manual overhead of navigating cluttered webpages.
Article Summarizer Use Cases
- Extracting core insights from long-form news articles and technical blogs.
- Summarizing social media threads and sentiment from platform comments.
- Bypassing simple dynamic rendering issues to reach hidden content.
- Generating high-density takeaways from research papers or web-based documentation.
- Automating the monitoring of web sources where content is gated by interactive elements.
How Article Summarizer Works
- The skill initiates content retrieval using
web_fetchfor the lightest possible data footprint. - If initial fetching is blocked or incomplete, it automatically routes the request through the
r.jina.aimirror. - Upon further failure or detection of dynamic content, it triggers an interactive browser fallback to render the full page.
- It performs automated UI interactions like scrolling, dismissing modals, and clicking 'read more' buttons to ensure body text visibility.
- The retrieved data is passed through a completeness check to verify that titles and body segments are fully captured.
- Finally, it generates a structured summary based on user-defined length and language preferences.
Article Summarizer Setup
To integrate this skill into your environment, ensure you have the Openclaw Skills framework installed and follow these steps:
# Install the Article Summarizer skill
claw install article-summarizer
# Configure optional API keys for enhanced retrieval mirrors
claw config set JINA_API_KEY=your_key_here
Article Summarizer Data Schema & Taxonomy
The skill organizes its output and internal logic using a structured taxonomy to ensure consistency:
| Data Type | Description |
|---|---|
| Core Summary | A one-sentence punchy overview of the entire source. |
| Key Points | A structured list of the primary arguments or facts found in the text. |
| Discussion Themes | Analysis of comments and replies (if requested). |
| Limitations Log | Explicit notification of paywalls, partial renders, or blocked access. |
| Metadata | Source URL, detected language, and retrieval method used. |
Article Summarizer Advanced Features
- Multi-stage escalation logic from static fetch to full browser automation.
- Intelligent modal and overlay dismissal to access hidden content.
- Adaptive summary lengths based on source density and user intent.
- Cross-language support with automatic source-language detection.
- Specialized social media processing for comment sentiment and debate themes.
SKILL.md
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