audit

Detect and triage cruft, outdated content, and quality gaps across a codebase.

1|2|Updated Jan 16, 2026
One-click install
npx skills add https://github.com/lepahc/kynetic-spec --skill audit-lepahc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: audit
Source: https://github.com/lepahc/kynetic-spec/tree/main/.agents/skills/audit
Command: npx skills add https://github.com/lepahc/kynetic-spec --skill audit-lepahc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Detect and triage cruft, outdated content, and quality gaps across a codebase to improve release readiness.

Core Features & Use Cases

  • Parallel discovery of docs, code, configs, tests, and specs to surface issues early
  • Interactive triage with severity-based prioritization and auditable task creation
  • Structured workflow that keeps a traceable audit trail and actionable remediation plan

Quick Start

Run a full-codebase audit to surface cruft, then triage findings and create tasks for remediation.

Frequently Asked Questions about audit

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

FAQPage Schema
How do I audit a codebase for release readiness?

A codebase audit for release readiness surfaces cruft, outdated content, and quality gaps across docs, code, configs, and tests. It uses parallel discovery to identify issues early, followed by interactive triage with severity-based prioritization to create an actionable remediation plan.

What is the best way to triage cruft and quality gaps before a release?

Triage cruft and quality gaps before a release using a structured, auditable workflow. It applies parallel exploration across the codebase, severity-based prioritization, and auditable task creation to ensure a traceable remediation plan.

Can I use a codebase audit workflow for continuous health checks and refactoring?

Yes, a codebase audit workflow supports continuous health checks and refactoring. The approach applies parallel exploration to surface issues early, making it suitable for ongoing maintenance and pre-release cleanups to maintain codebase quality.

Does an AI agent codebase audit generate actionable tasks for remediation?

Yes, an AI agent codebase audit generates actionable tasks for remediation. The structured workflow executes discovery, triage, and task-generation steps, creating an auditable trail and a clear remediation plan from the identified issues.

When should I run a full-codebase audit instead of targeted code reviews?

Run a full-codebase audit instead of targeted code reviews during pre-release cleanups, major refactors, or continuous health checks where parallel discovery across docs, code, configs, and tests is needed to systematically surface and triage widespread quality gaps.