self-audit

Analyze SQLite scheduler logs and JSONL files to detect and rank operational failures.

2|Updated Jul 22, 2026
One-click install
npx skills add https://github.com/0xUrsanomics/utopia-os --skill self-audit-0xursanomics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: self-audit
Source: https://github.com/0xUrsanomics/utopia-os/tree/main/skills/self-audit
Command: npx skills add https://github.com/0xUrsanomics/utopia-os --skill self-audit-0xursanomics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sqlite3, and includes scripts (resource) components.

What problem does it solve?

This skill addresses the silent failure of autonomous agents by proactively auditing system logs, identifying recurring errors, and patching capability gaps to ensure long-term operational reliability.

Core Features & Use Cases

  • Failure Pattern Analysis: Automatically detects recurring tool failures, timeouts, and protocol drifts across session logs.
  • Self-Healing Workflow: Proposes and applies targeted fixes for configuration drift, skill gaps, and script errors while maintaining strict safety guardrails.
  • Adversarial Review: Convene decision panels for complex failure clusters to ensure root-cause resolution rather than temporary workarounds.

Quick Start

Trigger the self-audit process to scan system logs and identify any broken schedules or capability gaps.

Frequently Asked Questions about self-audit

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

FAQPage Schema
How do I detect recurring errors and protocol drift in autonomous agent logs?

This skill audits system logs and scheduler history to detect recurring tool failures, timeouts, and protocol drifts across multi-agent environments, then proposes targeted fixes for configuration drift and skill gaps.

How do I automate self-healing workflows for broken schedules and script errors?

It proposes and applies targeted fixes for configuration drift, skill gaps, and script errors while maintaining strict safety guardrails, operating across multi-agent environments to resolve operational failures.

Do I need SQLite and JSONL files to audit scheduler execution history?

Yes, it requires direct access to SQLite scheduler databases and JSONL log files to perform verification and mutation tasks for identifying and resolving operational failures.

What is the best way to resolve complex failure clusters in a multi-agent environment?

It convenes adversarial review decision panels for complex failure clusters to ensure root-cause resolution rather than temporary workarounds, proactively patching capability gaps for long-term reliability.

When should I not use automated error-driven system self-healing?

You should avoid automated error-driven self-healing if your environment lacks accessible SQLite scheduler databases or JSONL log files, as the verification and mutation tasks require direct access to these data sources.