autonomy-audit

Calculates triad autonomy and resilience metrics from SQLite ledger to triad_metrics table with CLI export.

Updated Mar 24, 2026
One-click install
npx skills add https://github.com/Heretek-AI/heretek-skills --skill autonomy-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autonomy-audit
Source: https://github.com/Heretek-AI/heretek-skills/tree/main/skills/autonomy-audit
Command: npx skills add https://github.com/Heretek-AI/heretek-skills --skill autonomy-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Detects and quantifies triad autonomy and resilience to guide improvements across the agent collective.

Core Features & Use Cases

  • Measures autonomy, consensus, and failover for real-time health monitoring of the triad.
  • Tracks knowledge growth, human intervention, and self-modification activity for continuous improvement.
  • Use Case: Run the metrics engine to obtain a 24-hour health snapshot and export it for leadership dashboards.

Quick Start

Run the metrics calculation for the last 24 hours and save the results to the triad_metrics table.

Frequently Asked Questions about autonomy-audit

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

FAQPage Schema
How do I monitor autonomous agent team health and resilience metrics?

You can monitor autonomous agent team resilience by calculating Liberation Metrics across a 24-hour rolling window. This tracks consensus, failover, and autonomy, persisting results to a local SQLite ledger for continuous health monitoring.

What metrics are used to quantify triad autonomy for agent collectives?

Triad autonomy is quantified by tracking consensus, failover, knowledge growth, human intervention, and self-modification activity. These Liberation Metrics are aggregated continuously over a 24-hour rolling window.

How do I export analytics data from a SQLite ledger to a CSV file?

You can export analytics data to CSV using CLI commands provided by the metrics engine. The system reads from the local SQLite ledger, processes the 24-hour metrics, and supports CSV export for external reporting.

Does this metrics engine require a specific database format for tracking agent activity?

Yes, the metrics engine reads from a local SQLite ledger to calculate autonomy metrics. It requires this database structure to aggregate the 24-hour rolling window data and persist results to the triad_metrics table.

What is the best way to track human intervention events in autonomous systems?

Tracking human intervention is handled by calculating Liberation Metrics over a 24-hour rolling window. The engine reads activity logs from a SQLite ledger, quantifying intervention rates alongside knowledge growth and failover metrics.

Can I generate a 24-hour health snapshot for an autonomous agent triad dashboard?

Yes, running the metrics calculation generates a 24-hour health snapshot for autonomous agent triads. Results are saved to a SQLite triad_metrics table and can be exported via CLI to CSV for leadership dashboards.