openclaw-autonomy-audit

Audit agent autonomy by scoring SOUL.md, HEARTBEAT.md, AGENTS.md, cron jobs, and daemon configurations.

2|Updated Mar 7, 2026

Search Tags:#monitoring #audit #agent #reliability #autonomy #self-directed

Ready to run

npx skills add https://github.com/TheophilusChinomona/claude-openclaw-plugin --skill openclaw-autonomy-audit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openclaw-autonomy-audit
Source: https://github.com/TheophilusChinomona/claude-openclaw-plugin/tree/main/plugins/openclaw/skills/openclaw-autonomy-audit
Command: npx skills add https://github.com/TheophilusChinomona/claude-openclaw-plugin --skill openclaw-autonomy-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill identifies gaps that prevent an AI agent from operating truly independently, ensuring reliable autonomous workflows.

Core Features & Use Cases

Autonomy Scoring: Assesses an agent's readiness for self-directed operation across five critical layers (Scheduling, Decision Logic, Process Management, Error Handling, Monitoring).
Gap Identification: Pinpoints specific deficiencies in configuration, code, or documentation that hinder autonomy.
Remediation Planning: Provides a scored assessment and a prioritized list of actionable fixes.
Use Case: An agent is supposed to run daily reports but often fails or requires manual restarts. This Skill will diagnose why it's not self-sufficient and provide a clear plan to fix it.

Quick Start

Run the autonomy audit skill to assess the current state of agent autonomy.

Frequently Asked Questions about openclaw-autonomy-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I audit my AI agent's readiness for autonomous operation?▼

To audit agent autonomy readiness, this Skill examines SOUL.md, HEARTBEAT.md, AGENTS.md, cron jobs, and daemon configurations to identify gaps in scheduling, decision logic, error handling, and monitoring, producing a scored remediation plan.

What does an agent autonomy audit check for in my configuration files?▼

An agent autonomy audit checks configuration files like SOUL.md and AGENTS.md for gaps in scheduling, decision logic, process management, error handling, and monitoring to determine if the agent can operate independently.

Why does my automated agent keep failing and requiring manual restarts?▼

Your automated agent likely fails due to gaps in scheduling, decision logic, process management, error handling, or monitoring. An autonomy audit identifies these specific deficiencies and provides a prioritized remediation plan to fix them.

How do I score my agent's self-directed reliability across critical operational layers?▼

You score agent self-directed reliability by assessing five critical layers: Scheduling, Decision Logic, Process Management, Error Handling, and Monitoring. The audit examines daemon configurations and cron jobs to produce a scored assessment.

Can I use this audit to diagnose why my cron jobs and daemon workflows are not self-sufficient?▼

Yes, you can use this audit to diagnose cron jobs and daemon workflows. It examines these configurations to pinpoint specific deficiencies in process management and error handling that hinder autonomous operation, providing a clear plan to fix them.

What's the best way to identify gaps preventing an AI agent from operating independently?▼

The best way to identify gaps preventing independent operation is to run an autonomy audit that examines SOUL.md, HEARTBEAT.md, and daemon configurations, scoring the agent across five critical layers to produce a prioritized remediation plan.