health

Audit AI project configuration and maintainability across five layers.

Updated Jun 22, 2026

Search Tags:#security #maintainability #audit #ai #configuration

Ready to run

npx skills add https://github.com/TLOGBen/baransu --skill health-tlogben

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: health
Source: https://github.com/TLOGBen/baransu/tree/main/codex/plugins/baransu/skills/health
Command: npx skills add https://github.com/TLOGBen/baransu --skill health-tlogben

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, jq, git, git-lfs, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive audit of an AI project's configuration and maintainability, identifying potential issues and providing actionable insights to improve code quality and security.

Core Features & Use Cases

Multi-layer Audit: Performs a five-layer audit of agent configuration, instruction surfaces, tools, verifiers, and maintainability.
Risk Identification: Identifies potential risks such as instruction drift, security vulnerabilities, and code rot.
Actionable Insights: Provides specific recommendations and steps to address identified issues and improve maintainability.
Use Case: Use the health skill to perform a full audit of your AI project's configuration and maintainability, ensuring that it is secure, reliable, and easy to maintain.

Quick Start

Run the health skill with the /health command.

Frequently Asked Questions about health

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

FAQPage Schema

How do I audit AI agent configuration for instruction drift and security vulnerabilities?▼

To audit AI agent configuration for instruction drift and security vulnerabilities, you need a multi-layer audit framework that inspects agent configuration, instruction surfaces, tools, and verifiers to detect risks and provide actionable maintainability insights.

What is a five-layer audit framework for AI coding maintainability?▼

A five-layer audit framework for AI coding maintainability comprehensively evaluates agent configuration, instruction surfaces, tools, verifiers, and overall maintainability to identify potential issues like code rot and improve project reliability.

Do I need python and jq installed to run an AI project maintainability audit?▼

Yes, you need python, jq, git, and git-lfs installed to run an AI project maintainability audit, as the analysis requires executing various checks and parsing project configuration files to detect risks.

How do I check my AI project for code rot and instruction drift?▼

You can check your AI project for code rot and instruction drift by running a comprehensive health audit that analyzes project files and execution surfaces, providing specific recommendations to address identified security and maintainability risks.

What is the best way to identify security vulnerabilities in AI coding tools?▼

The best way to identify security vulnerabilities in AI coding tools is to perform a comprehensive audit of the project's configuration, inspecting tools and verifiers to detect risks and provide actionable steps to improve code quality.