ponytail-audit

Name: ponytail-audit
Availability: InStock
Author: matchacone

Audit codebases for over-engineered code, dead code, and unnecessary dependencies.

Updated Jun 22, 2026

Search Tags:#codebase analysis #code refactoring #code audit #over-engineering #code optimization

Ready to run

npx skills add https://github.com/matchacone/pickle-LARP --skill ponytail-audit-matchacone

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ponytail-audit
Source: https://github.com/matchacone/pickle-LARP/tree/main/.agent/skills/ponytail-audit
Command: npx skills add https://github.com/matchacone/pickle-LARP --skill ponytail-audit-matchacone

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill conducts a thorough audit of a codebase to identify over-engineered code, dead code, and unnecessary dependencies, helping to streamline and optimize the codebase.

Core Features & Use Cases

Whole-Repo Audit: Analyzes the entire codebase for over-engineering.
Ranked Findings: Provides a list of findings, ranked by potential impact.
No Fix Application: Generates a report without applying any fixes.
Use Case: When a developer wants to perform a code audit to identify areas for optimization and refactoring.

Quick Start

Run the ponytail-audit skill on your repository to get a comprehensive report on over-engineered code.

Frequently Asked Questions about ponytail-audit

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

FAQPage Schema

How do I identify over-engineered code and dead code in my codebase?▼

A codebase audit scans your source files to identify over-engineered code, dead code, and unnecessary dependencies. It generates a comprehensive report ranked by potential impact to help you target optimization efforts.

What is the best way to audit a repository for unnecessary dependencies?▼

Auditing a repository for unnecessary dependencies involves analyzing the entire codebase to map usage patterns. This process yields a ranked findings report highlighting dead code and bloat for targeted refactoring without altering the original source.

Can I use a code audit to automatically refactor and fix code bloat?▼

A code audit identifies code bloat but does not apply any fixes. It generates a report of over-engineered areas ranked by impact, leaving the actual code refactoring and optimization decisions to the developer.

Does conducting a whole-repo code audit require specific framework dependencies?▼

Conducting a whole-repo code audit requires no specific dependencies. The process relies on scripts that scan and analyze your existing source code files directly to evaluate over-engineering and dead code.

When do I need a comprehensive code audit for code optimization?▼

You need a comprehensive code audit when preparing for major code optimization or refactoring. It helps pinpoint over-engineered code and unnecessary dependencies across the codebase, providing a ranked impact report to guide cleanup.

Why does my codebase have so much dead code and how can I rank it by impact?▼

Dead code accumulates from unused functions and unnecessary dependencies. A codebase audit analyzes your source files to locate this bloat and generates a report ranking the findings by their potential impact for streamlined optimization.