{"skill":{"slug":"performance-monitoring","displayName":"Performance Monitoring","summary":"监控Agent调度、执行及内存性能指标，自动记录日志，分析趋势，识别瓶颈并提供优化建议。","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":79,"installsAllTime":1,"installsCurrent":1,"stars":0,"versions":1},"createdAt":1775013608773,"updatedAt":1775013710779},"latestVersion":{"version":"1.0.0","createdAt":1775013608773,"changelog":"Performance-monitoring skill v1.0.0\n\n- Initial release with comprehensive agent performance monitoring capabilities.\n- Collects, logs, and analyzes key metrics such as scheduling success rate, dispatch time, retry/fallback rates, parallel speedup, task completion, memory count, relevance, retrieval accuracy, and token efficiency.\n- Includes alerting on performance anomalies and provides data-driven optimization suggestions.\n- Metrics are output in both logs and Feishu tables.\n- PowerShell-based implementation with modular metric collection functions.","license":"MIT-0"},"metadata":null,"owner":{"handle":"daxiangnaoyang","userId":"s170b044ecgtt1cej83h1mfz6h83maqg","displayName":"daxiangnaoyang","image":"https://avatars.githubusercontent.com/u/223295173?v=4"},"moderation":{"isSuspicious":true,"isMalwareBlocked":false,"verdict":"suspicious","reasonCodes":["suspicious.llm_suspicious"],"summary":"Detected: suspicious.llm_suspicious","engineVersion":"v2.2.0","updatedAt":1775013710779}}