Can the MOT skill fix issues it finds?

Yes, by using the --fix flag, the skill can automatically repair common issues like incorrect file permissions, missing cache directories, and outdated hook builds.

Which components are included in the audit?

The audit covers four main phases: Skills (frontmatter and naming), Agents (validation and cross-references), Hooks (bundles and shell wrappers), and Memory (SQLite and DuckDB connectivity).

Where are the health reports stored?

Full diagnostic reports are automatically written to the .maestro/cache/mot/ directory with a timestamped Markdown format for easy review.

What does 'MOT' stand for in this skill?

MOT stands for 'Ministry of Transport,' a term used for vehicle safety inspections. In this context, it refers to a comprehensive health check for your AI agent infrastructure.

Maestro MOT Health Check

Name: Maestro MOT Health Check
Author: scooter-lacroix

byscooter-lacroix

Analytics & Monitoring

Performs comprehensive system audits and diagnostic health checks for Maestro skills, agents, hooks, and memory systems.

About

The Maestro MOT (System Health Check) skill is a diagnostic powerhouse designed to maintain the integrity of your Maestro framework. It systematically audits the configuration of skills, validates agent cross-references, verifies hook execution permissions, and tests database connectivity for SQLite and DuckDB environments. Whether you are debugging a complex agent workflow or ensuring your environment is production-ready, this skill provides detailed markdown reports and automated fixes for common infrastructure issues, ensuring your AI development environment remains stable and performant.

Key Features

Validation of agent model configurations and cross-reference integrity
Auto-fix functionality for directory structures and file permissions
Comprehensive multi-phase audits for skills, agents, hooks, and memory
Quick-mode execution for high-priority P0 system checks
Automated health report generation in Markdown format
0 GitHub stars

Use Cases

Verifying system readiness and database connectivity after updates
Troubleshooting broken agent interactions or missing skill dependencies
Automating the setup of required cache directories and executable permissions

About

Key Features

Validation of agent model configurations and cross-reference integrity
Auto-fix functionality for directory structures and file permissions
Comprehensive multi-phase audits for skills, agents, hooks, and memory
Quick-mode execution for high-priority P0 system checks
Automated health report generation in Markdown format
0 GitHub stars

Use Cases

Verifying system readiness and database connectivity after updates
Troubleshooting broken agent interactions or missing skill dependencies
Automating the setup of required cache directories and executable permissions