Performance Monitoring

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。

Before installing, confirm these points with the skill author or maintainer: (1) How will Feishu alerts be authenticated? Demand explicit environment variables (webhook URL or API token) and review them before providing. (2) Exactly which agent logs and 'memories' will be collected, stored, and transmitted? Ask for a data schema, retention policy, and any redaction/filters for sensitive fields. (3) Where are logs stored and who can access them? Verify retention_days and make sure it meets your privacy policy. (4) Because the skill's source and homepage are unknown, prefer running it in a sandboxed or test agent first and require explicit approval before enabling autonomous invocation in production. (5) If you must use it, provide minimal-scoped credentials (dedicated Feishu webhook limited to a test space) and monitor network activity and outputs for unexpected data exfiltration.

Type: OpenClaw Skill Name: performance-monitoring Version: 1.0.0 The performance-monitoring skill bundle is designed to collect and analyze agent execution metrics such as dispatch success rates, task completion times, and memory efficiency. The provided PowerShell and Python snippets in SKILL.md focus on reading local log files from a specific directory (C:\Users\Administrator\.openclaw\workspace-main\logs) and generating summary reports. No evidence of data exfiltration, unauthorized network access, or malicious intent was found; the code logic is consistent with the stated purpose of system optimization.