identify-breaking-news

name identify-breaking-news version 2.0.0 description Identify breaking news articles that require immediate notification based on importance scores, source credibility, and content analysis. Uses memory search to find high-importance articles. license MIT allowed-tools ["memory/search","memory/check_seen","memory/mark_seen"] metadata {"domain":"news","category":"analysis","requires-approval":false,"confidence":0.92,"mcp-servers":[]} Identify Breaking News Identify articles that qualify as breaking news requiring immediate notification. When to Use Use this skill when you need to: Filter analyzed articles for breaking news Determine which stories warrant immediate alerts Prioritize high-impact news for real-time notification Avoid alert fatigue from non-critical news Instructions Step 1: Search for High-Importance Articles Use memory/search to find recent high-importance analyses: namespace: "news/analyses" query: "breaking news important announcement" limit: 50 Filter results for: importance_score >= 8 is_breaking == true Recent timestamp (last 24 hours) Step 2: Check Notification History For each potential breaking article, use memory/check_seen : key: article content hash or URL namespace: "news/breaking_alerts" Skip articles that have already been notified. Step 3: Calculate Breaking Score For articles not yet notified, calculate breaking score: Score components (0-100 total): Importance (0-50): importance_score * 5 Source credibility (0-20): +20 for authoritative sources LLM breaking flag (0-20): +20 if is_breaking=true Category bonus (0-10): +10 for security/product/research Keyword bonus (0-10): +2 per breaking keyword in title Authoritative sources: OpenAI Blog, Anthropic Blog, Google AI Blog Meta AI Blog, Microsoft AI Blog, DeepMind arXiv, Nature, Science Breaking keywords: release, launch, announce, breakthrough vulnerability, security, critical, urgent breaking, major, significant Step 4: Apply Threshold Filter articles by breaking score threshold: Score 90-100: Critical breaking news - immediate notification Score 80-89: High-priority - notify within 15 minutes Score 70-79: Notable - notify within 1 hour Score <70: Not breaking - include in regular digest Step 5: Apply Rate Limiting Prevent alert fatigue by limiting notifications: Maximum 5 per hour Maximum 20 per day If rate limit exceeded, queue for later notification. Step 6: Mark as Notified For each article being notified, use memory/mark_seen : key: article content hash or URL namespace: "news/breaking_alerts" ttl_seconds: 86400 (24 hours) Step 7: Return Results Return breaking news articles including: Article details (title, source, summary, URL) Breaking score Notification priority Breaking reason (if available) Tool Usage Guidance memory/search Search for high-importance analyses Filter by importance_score and is_breaking Limit to recent timeframe memory/check_seen Check if article already notified Use content hash as key Prevents duplicate alerts memory/mark_seen Mark after sending notification Use 24-hour TTL Allows re-notification after window Breaking Score Components Component Points Criteria Importance 0-50 importance_score * 5 Source 0-20 Authoritative sources LLM Flag 0-20 is_breaking == true Category 0-10 security/product/research Keywords 0-10 Breaking keywords (2 per) Threshold Guidelines Score 90-100: Critical Major model releases (GPT-5, Claude 4) Critical security vulnerabilities Regulatory decisions with immediate impact Action: Immediate notification Score 80-89: High-Priority Significant product launches Important research breakthroughs Major partnerships or acquisitions Action: Notify within 15 minutes Score 70-79: Notable Meaningful product updates Interesting research results Industry developments Action: Notify within 1 hour Score <70: Not Breaking Regular news, incremental updates Action: Include in regular digest only Breaking News Data Schema { "url" : "https://openai.com/blog/gpt-5" , "title" : "Introducing GPT-5" , "source" : "OpenAI Blog" , "ai_summary" : "OpenAI has released GPT-5 with major advances..." , "importance_score" : 10 , "is_breaking" : true , "breaking_reason" : "Major model release from leading AI company" , "breaking_score" : 95 , "category" : "product" , "content_hash" : "abc123def456" } Error Handling If search returns no results, return empty list If check_seen fails, proceed with notification (better duplicate than missed) If mark_seen fails, log warning but continue Success Criteria Breaking news identified within 15 minutes of publication False positive rate < 10% No duplicate alerts for the same story Rate limits prevent alert fatigue Critical stories (score >90) never missed