health

Audit instruction drift and configuration health in AI engineering projects.

6.8k|402|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/tw93/Waza --skill health-tw93
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: health
Source: https://github.com/tw93/Waza/tree/main/plugins/waza/skills/health
Command: npx skills add https://github.com/tw93/Waza --skill health-tw93

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams identify and isolate instruction drift, configuration health issues, and maintainability risks in AI-enabled engineering projects, enabling faster, safer remediation.

Core Features & Use Cases

  • Budget-aware health checks across agent configuration, instruction surfaces, verifiers, and maintainability surfaces.
  • Actionable findings with concrete evidence, recommended commands, and next steps to fix drift and maintainability gaps.
  • Automated health reporting that separates agent config health from AI maintainability health to support targeted remediation.

Quick Start

Use this to initiate a health audit for your project and generate an actionable health report.

Frequently Asked Questions about health

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

FAQPage Schema
How do I audit instruction drift and configuration health in AI engineering projects?

Audit instruction drift and configuration health by operating on data collected from AGENTS.md, CLAUDE.md, runtime surfaces, and project health scripts to produce a structured report with concrete next steps and remediation commands.

What is instruction drift and how do maintainability risks affect AI agent configurations?

Instruction drift and maintainability risks occur when AI agent configurations deviate from intended behaviors. Health audits surface these issues by separating agent config health from maintainability health to support targeted remediation.

How do I check agent configuration health across verifiers and instruction surfaces?

Check agent configuration health by running budget-aware health audits across agent configuration, instruction surfaces, verifiers, and maintainability surfaces to generate actionable findings with concrete evidence.

Can I use automated health reporting to fix maintainability gaps in AGENTS.md and CLAUDE.md files?

Yes, automated health reporting operates on data from AGENTS.md and CLAUDE.md to expose maintainability gaps. It provides recommended commands and next steps to fix drift and remediate identified configuration issues.

What's the best way to remediate configuration health issues and maintainability risks in AI-driven engineering?

The best way to remediate configuration health issues is to use a structured health report that provides actionable findings, concrete evidence, and specific commands to fix drift and maintainability gaps in AI-driven engineering projects.