When should I use the Bloat Detector skill?

It is best used when your AI context usage exceeds 30%, during scheduled maintenance, or as a pre-cleanup step before starting a major architectural refactor.

Is it safe to let Bloat Detector delete code?

Yes, safety is a priority. The skill never performs auto-deletions; all changes require user approval, and it supports dry-runs and backup branches for every remediation.

Does this skill work on small projects?

The skill is optimized for codebases larger than 1000 lines where bloat impacts performance. It is not recommended for very small projects or during active feature development.

What is AI-generated bloat?

AI-generated bloat refers to unnecessary code or documentation created by AI tools, such as repetitive patterns, hallucinated dependencies, or verbose comments that don't add value to the logic.

Bloat Detector

Name: Bloat Detector
Author: micsapp

bymicsapp

0•

Security & Testing

Detects and eliminates codebase bloat, redundant documentation, and unused dependencies through progressive static and history analysis.

The Bloat Detector skill is designed to optimize project health by identifying technical debt, dead code, and 'AI-generated bloat' such as hallucinated dependencies or verbose tab-completion artifacts. It utilizes a three-tier progressive analysis approach—ranging from quick heuristic scans to deep audits—to help developers reduce context window usage and improve maintainability during quarterly maintenance or before major refactorings. By prioritizing savings based on token reduction and confidence levels, it ensures that codebase cleanup is both impactful and safe.

Key Features

01Detection of AI-specific bloat including 'vibe coding' signatures

02Three-tier progressive analysis from quick scans to deep audits

03Safety-first remediation with dry-run support and backup branches

04Git history analysis to identify stale files and low-churn code

05Automated identification of documentation redundancy and 'slop'

060 GitHub stars

Use Cases

01Identifying and removing hallucinated dependencies or unused imports

02Performing quarterly technical debt cleanup and pre-release audits

03Reducing repository size to lower AI context window consumption

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills bloat-detector

For use in Claude.ai and ChatGPT

Key Features

01Detection of AI-specific bloat including 'vibe coding' signatures

02Three-tier progressive analysis from quick scans to deep audits

03Safety-first remediation with dry-run support and backup branches

04Git history analysis to identify stale files and low-churn code

05Automated identification of documentation redundancy and 'slop'

060 GitHub stars

Use Cases

01Identifying and removing hallucinated dependencies or unused imports

02Performing quarterly technical debt cleanup and pre-release audits

03Reducing repository size to lower AI context window consumption

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills bloat-detector

For use in Claude.ai and ChatGPT