A comprehensive OpenClaw skill for aggregating, scoring, and
Scanned 9/7/2026
Install to Claude Code
npx -y skills add modbender/skill-library-mcp --skill multi-source-news-digest --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: Multi Source Tech News Digest
description: A comprehensive OpenClaw skill for aggregating, scoring, and
delivering technology news from 109+ sources including RSS feeds, GitHub
releases, and web sources.
---
# Multi Source Tech News Digest
A comprehensive OpenClaw skill for aggregating, scoring, and delivering technology news from 109+ sources including RSS feeds, GitHub releases, and web sources.
## Features
- **Multi-source aggregation**: RSS feeds, GitHub releases, web sources
- **Intelligent scoring**: Automatically scores news based on tech keywords and source credibility
- **Configurable**: Easy to customize sources and scoring thresholds
- **Daily digests**: Generates formatted daily news summaries
- **Filtering**: Filters low-quality news based on configurable thresholds
## Installation
```bash
clawhub install multi-source-news-digest
```
## Usage
```bash
# Generate daily digest
python skill.py digest
# List all news items
python skill.py list
# Force refresh news data
python skill.py refresh
```
## Configuration
Edit `config.json` to customize:
- `rss_sources`: List of RSS feed URLs
- `github_repos`: GitHub repositories to monitor
- `web_sources`: Web pages to scrape
- `max_news_per_source`: Maximum news items per source
- `min_score_threshold`: Minimum score threshold for news filtering
## Sources
Default sources include:
- RSS: TechCrunch, Wired, The Verge, Ars Technica, ZDNet
- GitHub: Trending repositories
- Web: Google News, Techmeme
## Scoring System
News items are scored based on:
- Tech keywords (AI, machine learning, blockchain, etc.)
- Summary length and quality
- Source credibility
## Testing
```bash
python test_skill.py
```
## Author
hesamsheikh
## License
MITIs this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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