Audits and scores AI agent autonomy readiness to ensure reliable, self-directed operation.
The OpenClaw Autonomy Auditor evaluates the independent operating capabilities of AI agents by scanning critical configuration files and system setups. It provides a comprehensive maturity score based on five essential layers—scheduling, decision logic, process management, error handling, and monitoring—to identify exactly why an agent may be failing to act proactively. By analyzing SOUL.md, HEARTBEAT.md, and cron configurations, the skill generates prioritized remediation plans to transform passive chatbots into robust, self-directed autonomous agents with proper safety nets and cost controls.
主要功能
010 GitHub stars
02Automated scanning of SOUL.md and HEARTBEAT.md logic
038-point autonomy maturity scoring rubric
04Prioritized remediation plans for autonomous operation
05Safety audit for cost caps, loop breakers, and error handling
06Cron and Heartbeat scheduling mechanism analysis
使用场景
01Troubleshooting agent inactivity and 'silent failure' scenarios
02Implementing production-grade safety guardrails for autonomous loops
03Converting reactive chatbots into proactive, self-directed assistants
