A comprehensive news intelligence system that integrates API-driven data collection, LLM-powered content analysis, and trend visualization.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install news-agent
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 news-agent 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 News Agent?
The News Agent is a robust tool designed for Openclaw Skills that enables developers and researchers to manage a full news intelligence lifecycle. It connects to a backend architecture powered by FastAPI and PostgreSQL, providing a bridge between raw data sources and actionable insights. By leveraging Large Language Models, the skill can automatically summarize articles, extract key metadata, and categorize information, making it an essential component for any data-driven workflow.
Built to handle high-volume information streams, this skill provides the necessary infrastructure to query articles, monitor dashboard statistics, and generate complex trend reports. It allows for seamless interaction with a news ecosystem via specialized scripts, ensuring that users can automate their research and monitoring tasks effectively through Openclaw Skills.
News Agent Use Cases
- Automating the collection and categorization of industry-specific news reports.
- Generating LLM-based summaries and keyword extraction for large datasets.
- Monitoring real-time dashboards to track news volume and emerging topics.
- Analyzing historical trends to visualize the growth or decline of specific industry keywords.
How News Agent Works
- The user establishes a connection by setting the environment variable for the news intelligence API.
- Collection tasks are triggered to crawl specified news sources and populate the database.
- Analysis tasks utilize LLMs like qwen-plus to generate summaries, assign categories, and extract keywords.
- Trend calculation engines process the article metadata to identify hot topics and frequency distributions.
- Users retrieve the processed intelligence using CLI scripts or API endpoints for further integration.
News Agent Setup
To get started with this skill in Openclaw Skills, ensure your news backend is active and configure your environment:
# Set the base API URL
export NEWS_API_BASE_URL="http://localhost:8030/api/v1"
# Query the latest news articles
python3 scripts/get_articles.py
# Check the current status of background tasks
python3 scripts/trigger_task.py status
News Agent Data Schema & Taxonomy
The skill organizes its intelligence using a structured schema that facilitates rapid search and analysis:
| Data Object | Description | Key Attributes |
|---|---|---|
| Articles | Primary news records | Title, Summary, Category, Source, Date |
| Dashboard | Statistical overview | Total articles, Daily growth, Top keywords |
| Trends | Analytical time-series | Keyword frequency, Category distribution, Date ranges |
| Tasks | Workflow automation | Crawl status, Analysis progress, Trend sync |
News Agent Advanced Features
- Multi-stage task orchestration allowing for sequential crawling, LLM analysis, and trend updates.
- Deep keyword analysis with support for custom timeframes and ranking thresholds.
- Integration with Alibaba Cloud DashScope for professional-grade summarization and classification.
- Dual output modes supporting both human-readable terminal visualizations and parseable JSON for Openclaw Skills automation.
SKILL.md
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