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Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 8 major sources: Hacker News, GitHub Trending, Product Hunt, 36Kr, Tencent News, WallStreetCN, V2EX, and Weibo. Best for 'daily scans', 'tech news briefings', 'finance updates', and 'deep interpretations' of hot topics.
Passed 10 of 18 test cases with the skill, and 6 of 18 without it.
and 3 more in the full report
6 fixed6 passed either way9 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
Fetch 10 stories from V2EX about Android. What keyword filter string should be passed to the command line tool?
| Checked | Without skill | With skill |
|---|---|---|
| Expands the Android query into a comma-separated keyword string containing terms such as Kotlin, Google, and Mobile | Missed | Passed |
The instructions your model reads when the skill loads.
Fetch real-time hot news from multiple sources.
Usage:
### Single Source (Limit 10)
```bash
### Global Scan (Option 12) - **Broad Fetch Strategy**
> **NOTE**: This strategy is specifically for the "Global Scan" scenario where we want to catch all trends.
```bash
# 1. Fetch broadly (Massive pool for Semantic Filtering)
python3 scripts/fetch_news.py --source all --limit 15 --deep
# 2. SEMANTIC FILTERING:
# Agent manually filters the broad list (approx 120 items) for user's topics.
CRITICAL: You MUST automatically expand the user's simple keywords to cover the entire domain field.
--keyword "AI,LLM,GPT,Claude,Generative,Machine Learning,RAG,Agent"--keyword "Android,Kotlin,Google,Mobile,App"--keyword "Finance,Stock,Market,Economy,Crypto,Gold"# Example: User asked for "AI news from HN" (Note the expanded keywords)
python3 scripts/fetch_news.py --source hackernews --limit 20 --keyword "AI,LLM,GPT,DeepSeek,Agent" --deep
Only use --keyword for very specific, unique terms (e.g., "DeepSeek", "OpenAI").
python3 scripts/fetch_news.py --source all --limit 10 --keyword "DeepSeek" --deep
test cases passed, vs 6 / 18 without
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