ponytail-audit

Audit a repository for over-engineering and bloated code.

3|1|Updated Mar 23, 2026
One-click install
npx skills add https://github.com/malinskibeniamin/skills --skill ponytail-audit-malinskibeniamin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ponytail-audit
Source: https://github.com/malinskibeniamin/skills/tree/main/ponytail-audit
Command: npx skills add https://github.com/malinskibeniamin/skills --skill ponytail-audit-malinskibeniamin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Audits a whole repo for over-engineering and bloat, helping teams identify what can be deleted or simplified to reduce maintenance burden and improve clarity.

Core Features & Use Cases

  • Repo-wide scanning to uncover dead code, unnecessary abstractions, and configuration drift.
  • Ranked output prioritizing the biggest potential deletions first, with rationale.
  • Clear reporting suitable for refactoring planning and code reviews.

Quick Start

Run ponytail-audit on your repository to generate a ranked list of deletions by impact.

Frequently Asked Questions about ponytail-audit

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

FAQPage Schema
How do I audit my codebase for over-engineering and dead code?

To audit a codebase for over-engineering and dead code, run a repo-wide scan to identify unnecessary abstractions and configuration drift. This generates a ranked list of potential deletions prioritized by impact, helping reduce maintenance burden.

When should I run a code review audit for bloat and unnecessary abstractions?

A code review audit for bloat is ideal during code reviews, before merges, or when planning refactors on large codebases. It helps teams identify what can be deleted or simplified before changes are integrated into the main branch.

Can I scan a large repository for dead code and configuration drift end-to-end?

Yes, you can scan a large repository for dead code and configuration drift end-to-end. The analysis covers the entire repo and produces one-line findings ranked by impact, making it suitable for large-scale refactoring planning.

What is the best way to prioritize code deletions during a refactoring cleanup?

The best way to prioritize code deletions during a refactoring cleanup is to use an impact-based ranking. An audit generates a prioritized list of the biggest potential deletions first, providing clear rationale for each removal.

Does a bloat audit work for pre-merge code reviews or only for existing repositories?

A bloat audit works for both pre-merge code reviews and existing repositories. Applying it before merges or during refactoring planning helps identify over-engineering and configuration drift across the entire codebase.