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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 8 of 15 test cases with the skill, and 3 of 15 without it.
and 8 more in the full report
8 fixed4 passed either way10 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
Construct the CLI command to fetch news specifically from Weibo with a limit of 10 items.
| Checked | Without skill | With skill |
|---|---|---|
| Specifies --source weibo in the script arguments | 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 3 / 15 without
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