News Aggregator Skill

Fetch real-time hot news from multiple sources.

Tools fetch_news.py

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.

Single Source & Combinations (Smart Keyword Expansion)

CRITICAL: You MUST automatically expand the user's simple keywords to cover the entire domain field.

User: "AI" -> Agent uses: --keyword "AI,LLM,GPT,Claude,Generative,Machine Learning,RAG,Agent" User: "Android" -> Agent uses: --keyword "Android,Kotlin,Google,Mobile,App" User: "Finance" -> Agent uses: --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

Specific Keyword Search

Only use --keyword for very specific, unique terms (e.g., "DeepSeek", "OpenAI").

python3 scripts/fetch_news.py --source all --limit 10 --keyword "DeepSeek" --deep

Arguments:

--source: One of hackernews, weibo, github, 36kr, producthunt, v2ex, tencent, wallstreetcn, all. --limit: Max items per source (default 10). --keyword: Comma-separated filters (e.g. "AI,GPT"). --deep: [NEW] Enable deep fetching. Downloads and extracts the main text content of the articles.

Output: JSON array. If --deep is used, items will contain a content field associated with the article text.

Interactive Menu

When the user says "news-aggregator-skill 如意如意" (or similar "menu/help" triggers):

READ the content of templates.md in the skill directory. DISPLAY the list of available commands to the user exactly as they appear in the file. GUIDE the user to select a number or copy the command to execute. Smart Time Filtering & Reporting (CRITICAL)

If the user requests a specific time window (e.g., "past X hours") and the results are sparse (< 5 items):

Prioritize User Window: First, list all items that strictly fall within the user's requested time (Time < X). Smart Fill: If the list is short, you MUST include high-value/high-heat items from a wider range (e.g. past 24h) to ensure the report provides at least 5 meaningful insights. Annotation: Clearly mark these older items (e.g., "⚠️ 18h ago", "🔥 24h Hot") so the user knows they are supplementary. High Value: Always prioritize "SOTA", "Major Release", or "High Heat" items even if they slightly exceed the time window. GitHub Trending Exception: For purely list-based sources like GitHub Trending, strictly return the valid items from the fetched list (e.g. Top 10). List ALL fetched items. Do NOT perform "Smart Fill". Deep Analysis (Required): For EACH item, you MUST leverage your AI capabilities to analyze: Core Value (核心价值): What specific problem does it solve? Why is it trending? Inspiration (启发思考): What technical or product insights can be drawn? Scenarios (场景标签): 3-5 keywords (e.g. #RAG #LocalFirst #Rust). 6. Response Guidelines (CRITICAL)

Format & Style:

Language: Simplified Chinese (简体中文). Style: Magazine/Newsletter style (e.g., "The Economist" or "Morning Brew" vibe). Professional, concise, yet engaging. Structure: Global Headlines: Top 3-5 most critical stories across all domains. Tech & AI: Specific section for AI, LLM, and Tech items. Finance / Social: Other strong categories if relevant. Item Format: Title: MUST be a Markdown Link to the original URL. ✅ Correct: ### 1. OpenAI Releases GPT-5 ❌ Incorrect: ### 1. OpenAI Releases GPT-5 Metadata Line: Must include Source, Time/Date, and Heat/Score. 1-Liner Summary: A punchy, "so what?" summary. Deep Interpretation (Bulleted): 2-3 bullet points explaining why this matters, technical details, or context. (Required for "Deep Scan").

Output Artifact:

Always save the full report to reports/ directory with a timestamped filename (e.g., reports/hn_news_YYYYMMDD_HHMM.md). Present the full report content to the user in the chat.