How does MOT handle agent validation?

It checks for the existence of required fields like 'name' and 'model', validates that the model is a supported Claude version (Opus, Sonnet, or Haiku), and ensures all sub-agent references point to valid files.

Do I need a database to run the MOT skill?

No. While System MOT can audit your PostgreSQL and pgvector memory system, it can still perform independent health checks on your skills, agents, and hooks without a database connection.

What is the difference between a full audit and quick mode?

A full audit performs a deep scan of all files and cross-references, while quick mode (--quick) focuses only on P0 critical checks like frontmatter parsing, hook builds, and database reachability.

What does the --fix flag do in System MOT?

The --fix flag automatically resolves common environment issues, such as making shell wrappers executable, rebuilding TypeScript bundles if source files are newer, and creating missing cache directories.

System MOT Health Check

Name: System MOT Health Check
Author: namesreallyblank

bynamesreallyblank

•

Analytics & Monitoring

Performs comprehensive audits and automated repairs for Claude Code skills, agents, hooks, and memory systems.

About

System MOT (Ministry of Transport) provides an essential diagnostic layer for the Clorch framework, ensuring that the complex ecosystem of agents, skills, and hooks remains functional and consistent. It validates frontmatter metadata, checks agent cross-references to prevent broken workflows, verifies hook executables, and tests database connectivity for the RLM memory system. By providing detailed markdown reports and an automated fix flag, it minimizes configuration errors and ensures the Claude Code operating system environment is always production-ready.

Key Features

Quick-mode execution for essential P0 health checks only
Multi-phase audits for skills, agents, hooks, and PostgreSQL memory
Detailed markdown report generation with P0-P3 priority levels
Cross-reference validation to find broken agent or skill links
1 GitHub stars
Automated repair functionality via the --fix flag for common issues

Use Cases

Troubleshooting broken agent interactions or missing skill dependencies
Validating system health after installing new hooks or specialist agents
Verifying pgvector and PostgreSQL connectivity for long-term memory storage

About

Key Features

Quick-mode execution for essential P0 health checks only
Multi-phase audits for skills, agents, hooks, and PostgreSQL memory
Detailed markdown report generation with P0-P3 priority levels
Cross-reference validation to find broken agent or skill links
1 GitHub stars
Automated repair functionality via the --fix flag for common issues

Use Cases

Troubleshooting broken agent interactions or missing skill dependencies
Validating system health after installing new hooks or specialist agents
Verifying pgvector and PostgreSQL connectivity for long-term memory storage