What is 'AI-generated bloat'?

This refers to repetitive code patterns, hallucinated dependencies, or unnecessary verbosity often introduced by AI tab-completion tools or unrefined 'vibe coding' sessions.

When is the best time to use Bloat Detector?

It is most effective when your Claude context usage is high, during scheduled maintenance cycles, or immediately before starting a major architectural refactor.

Can it automatically delete my code?

No. For safety, all changes require manual approval. The skill also supports dry-runs and creates backup branches before performing any bulk remediation.

How does the Tier 1 scan work?

The Tier 1 scan takes 2-5 minutes and uses basic heuristics to find large files, stale TODOs, and commented-out code blocks without requiring external tooling.

What is codebase bloat?

Codebase bloat refers to dead code, unused dependencies, redundant documentation, and unnecessary complexity that makes a project harder for both humans and AI to navigate and maintain.

Bloat Detector

Name: Bloat Detector
Author: Ven0m0

byVen0m0

開発者ツール

Identifies and eliminates codebase bloat, technical debt, and redundant documentation through progressive static analysis.

概要

Bloat Detector is a comprehensive Claude Code Skill designed to streamline codebases by identifying dead code, duplication, and 'AI-generated slop.' It offers a tiered approach to analysis, ranging from quick five-minute scans to deep audits that analyze dependency graphs and git churn hotspots. By prioritizing remediation based on token savings and maintenance impact, it helps developers reduce context usage and improve project maintainability during quarterly cleanup sessions or before major refactors.

主な機能

Safety-first remediation with dry-run support and automatic backup branch creation
Detection of AI-generated 'tab-completion bloat' and vibe-coding artifacts
Identification of documentation redundancy, stale content, and documentation 'slop'
0 GitHub stars
Git history analysis to locate low-churn code and massive, unmanageable commits
Tiered analysis levels from quick heuristic scans to deep architectural audits

ユースケース

Performing quarterly technical debt cleanup and codebase maintenance
Reducing context window usage when working with large repositories in Claude
Cleaning up redundant code and documentation before a major release or refactor

概要

主な機能

Safety-first remediation with dry-run support and automatic backup branch creation
Detection of AI-generated 'tab-completion bloat' and vibe-coding artifacts
Identification of documentation redundancy, stale content, and documentation 'slop'
0 GitHub stars
Git history analysis to locate low-churn code and massive, unmanageable commits
Tiered analysis levels from quick heuristic scans to deep architectural audits

ユースケース

Performing quarterly technical debt cleanup and codebase maintenance
Reducing context window usage when working with large repositories in Claude
Cleaning up redundant code and documentation before a major release or refactor