{"skill":{"slug":"smart-journal-monitor","displayName":"Smart Journal Monitor(RSS+AI)","summary":"Use smart journal monitor for evidence insight workflows that need structured execution, explicit assumptions, and clear output boundaries.","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":81,"installsAllTime":0,"installsCurrent":0,"stars":1,"versions":1},"createdAt":1775024189658,"updatedAt":1775025119845},"latestVersion":{"version":"1.0.0","createdAt":1775024189658,"changelog":"smart-journal-monitor 1.0.0 – Initial release\n\n- Provides a structured evidence insight workflow for monitoring research journals using clear assumptions, explicit input validation, and reproducible output.\n- Main execution via scripts/main.py with workflow guidance, usage examples, and audit-ready validation steps.\n- Returns curated article lists with impact scores, relevance ranking, and concise summaries.\n- Includes transparent error handling, security checklist, and documented fallback procedures for missing inputs or execution errors.\n- No external dependencies or network access required; all processing and outputs remain local to the workspace.","license":"MIT-0"},"metadata":null,"owner":{"handle":"aipoch-ai","userId":"s17fjw78yq6wtd4ep6zsaxwrn983hznr","displayName":"AIpoch","image":"https://avatars.githubusercontent.com/u/258999481?v=4"},"moderation":{"isSuspicious":true,"isMalwareBlocked":false,"verdict":"suspicious","reasonCodes":["suspicious.llm_suspicious"],"summary":"Detected: suspicious.llm_suspicious","engineVersion":"v2.2.0","updatedAt":1775025119845}}