# 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

- Skill: `majiayu000/bloat-detector-4` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/bloat-detector-4`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/bloat-detector-4/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/majiayu000/bloat-detector-4

---


# 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)
```bash
/bloat-scan
```
Detects: Large files, stale code, old TODOs, commented blocks, basic duplication

### Tier 2: Targeted Analysis (10-20 min, optional tools)
```bash
/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)
```bash
/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):
- `@module:quick-scan` - Heuristics, no tools
- `@module:git-history-analysis` - Staleness, churn, vibe coding signatures

**Tier 2** (optional tools):
- `@module:code-bloat-patterns` - Anti-patterns (God class, Lava flow)
- `@module:ai-generated-bloat` - AI-specific patterns (Tab bloat, hallucinations)
- `@module:documentation-bloat` - Redundancy, readability, slop detection
- `@module:static-analysis-integration` - Vulture, Knip

**Shared**:
- `@module:remediation-types` - 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