askill
bloat-detector

bloat-detectorSafety 90Repository

Detect codebase bloat through progressive analysis: dead code, duplication, complexity, documentation bloat. 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.

213 stars
4.3k downloads
Updated 3/15/2026

Package Files

Loading files...
SKILL.md

Table of Contents

Bloat Detector

Systematically detect and eliminate codebase bloat through progressive analysis tiers.

Bloat Categories

CategoryExamples
CodeDead code, God classes, Lava flow, duplication
AI-GeneratedTab-completion bloat, vibe coding, hallucinated deps
DocumentationRedundancy, verbosity, stale content, slop
DependenciesUnused imports, dependency bloat, phantom packages
Git HistoryStale 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

DoDon't
Context usage > 30%Active feature development
Quarterly maintenanceTime-sensitive bugs
Pre-release cleanupCodebase < 1000 lines
Before major refactoringTools unavailable (Tier 2/3)

When NOT To Use

  • Active feature development
  • Time-sensitive bugs
  • Codebase < 1000 lines

Confidence Levels

LevelConfidenceAction
HIGH90-100%Safe to remove
MEDIUM70-89%Review first
LOW50-69%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
  • See modules/growth-analysis.md - Growth velocity, forecasts, threshold alerts

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

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

78/100Analyzed 3/15/2026

Well-structured technical skill for detecting codebase bloat with progressive analysis tiers. Excellent documentation with clear categories, confidence levels, and safety guidelines. Provides actionable commands and module architecture. Slightly abstract as it describes an agent/tool workflow rather than direct human steps. High reusability across projects. Minor deduction for referencing external modules not included in content.

90
85
85
82
60

Metadata

Licenseunknown
Version-
Updated3/15/2026
Publisherathola

Tags

ci-cdobservability