Search

PythonReactSEOPDF
GitHub Skill

bloat-detector

Detect codebase bloat through progressive analysis: dead code, duplication, complexity, documentation bloat. Triggers: bloat detection, dead code, code cleanup, duplication, technical debt, unused code Use when: context usage high, quarterly maintenance, pre-release cleanup, before refactoring DO NOT use when: active feature development, time-sensitive bugs, codebase < 1000 lines

athola☆ 157 Repository stars19 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

Table of Contents

Bloat Detector

Systematically detect and eliminate codebase bloat through progressive analysis tiers.

Bloat Categories

Category Examples
Code Dead code, God classes, Lava flow, duplication
AI-Generated Tab-completion bloat, vibe coding, hallucinated deps
Documentation Redundancy, verbosity, stale content, slop
Dependencies Unused imports, dependency bloat, phantom packages
Git History Stale files, low-churn code, massive single commits

Quick Start

Tier 1: Quick Scan (2-5 min, no tools)
/bloat-scan

Detects: Large files, stale code, old TODOs, commented blocks, basic duplication

Tier 2: Targeted Analysis (10-20 min, optional tools)
/bloat-scan --level 2 --focus code   # or docs, deps

Adds: Static analysis (Vulture/Knip), git churn hotspots, doc similarity

Tier 3: Deep Audit (30-60 min, full tooling)
/bloat-scan --level 3 --report audit.md

Adds: Cross-file redundancy, dependency graphs, readability metrics

When to Use

Do Don't
Context usage > 30% Active feature development
Quarterly maintenance Time-sensitive bugs
Pre-release cleanup Codebase < 1000 lines
Before major refactoring Tools unavailable (Tier 2/3)

Confidence Levels

Level Confidence Action
HIGH 90-100% Safe to remove
MEDIUM 70-89% Review first
LOW 50-69% Investigate

Prioritization

Priority = (Token_Savings × 0.4) + (Maintenance × 0.3) + (Confidence × 0.2) + (Ease × 0.1)

Module Architecture

Tier 1 (always available):

  • See modules/quick-scan.md - Heuristics, no tools
  • See modules/git-history-analysis.md - Staleness, churn, vibe coding signatures

Tier 2 (optional tools):

  • See modules/code-bloat-patterns.md - Anti-patterns (God class, Lava flow)
  • See modules/ai-generated-bloat.md - AI-specific patterns (Tab bloat, hallucinations)
  • See modules/documentation-bloat.md - Redundancy, readability, slop detection
  • See modules/static-analysis-integration.md - Vulture, Knip

Shared:

  • See modules/remediation-types.md - DELETE, REFACTOR, CONSOLIDATE, ARCHIVE

Auto-Exclusions

Always excludes: .venv, __pycache__, .git, node_modules, dist, build, vendor

Also respects: .gitignore, .bloat-ignore

Safety

  • Never auto-delete - all changes require approval
  • Dry-run support - --dry-run for previews
  • Backup branches - created before bulk changes

Related

  • bloat-auditor agent - Executes scans
  • unbloat-remediator agent - Safe remediation
  • context-optimization skill - MECW principles

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-31
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

chat Comments (0)

chat_bubble_outline

No comments yet. Be the first to share your thoughts!