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Detects codebase bloat via dead code, duplication, complexity, and doc bloat scans. Use when codebase feels large or before a release.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/athola/claude-night-market --skill bloat-detector命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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基于 SOC 职业分类
| name | bloat-detector |
| description | Detects codebase bloat via dead code, duplication, complexity, and doc bloat scans. Use when codebase feels large or before a release. |
| alwaysApply | false |
| category | conservation |
| tags | ["bloat","cleanup","static-analysis","technical-debt","optimization"] |
| tools | [] |
| modules | ["modules/quick-scan.md","modules/git-history-analysis.md","modules/growth-analysis.md","modules/code-bloat-patterns.md","modules/ai-generated-bloat.md","modules/documentation-bloat.md","modules/static-analysis-integration.md","modules/remediation-types.md"] |
| progressive_loading | true |
| estimated_tokens | 400 |
| usage_patterns | ["bloat","dead code","unused","cleanup","unbloat","prune"] |
| model_hint | standard |
Systematically detect and eliminate codebase bloat through progressive analysis tiers.
| 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 |
/bloat-scan
Detects: Large files, stale code, old TODOs, commented blocks, basic duplication
/bloat-scan --level 2 --focus code # or docs, deps
Adds: Static analysis (Vulture/Knip), git churn hotspots, doc similarity
/bloat-scan --level 3 --report audit.md
Adds: Cross-file redundancy, dependency graphs, readability metrics
| 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) |
| Level | Confidence | Action |
|---|---|---|
| HIGH | 90-100% | Safe to remove |
| MEDIUM | 70-89% | Review first |
| LOW |
| 50-69% |
| Investigate |
Priority = (Token_Savings × 0.4) + (Maintenance × 0.3) + (Confidence × 0.2) + (Ease × 0.1)
Tier 1 (always available):
modules/quick-scan.md - Heuristics, no toolsmodules/git-history-analysis.md - Staleness, churn, vibe coding signaturesmodules/growth-analysis.md - Growth velocity, forecasts, threshold alertsTier 2 (optional tools):
modules/code-bloat-patterns.md - Anti-patterns (God class, Lava flow)modules/ai-generated-bloat.md - AI-specific patterns (Tab bloat, hallucinations)modules/documentation-bloat.md - Redundancy, readability, slop detectionmodules/static-analysis-integration.md - Vulture, KnipShared:
modules/remediation-types.md - DELETE, REFACTOR, CONSOLIDATE, ARCHIVEPatterns that span plugin boundaries or manifest configuration, discovered through ecosystem-wide audits.
alwaysApply AccumulationFlag plugins with 3+ skills where alwaysApply: true.
Each always-on skill injects its full text into every session,
creating a baseline token floor before the user types anything.
Sum the estimated_tokens fields to report total per-session cost.
Compare hooks declared in plugin.json or openpackage.yml
against entries in hooks.json. A hook present in hooks.json
but absent from the manifest is invisible to the plugin loader
and cannot be audited, versioned, or disabled through normal
plugin management.
Scan skill files for identical multi-line text blocks repeated across 10+ files (e.g., generic troubleshooting sections like "Command not found / Permission errors / Unexpected behavior"). These are copy-paste artifacts that inflate token cost without adding skill-specific value.
Skills loaded into model context gain nothing from HTML-style
Tables of Contents. Detect ## Table of Contents followed by
bulleted anchor-link lists. These waste tokens since
the model reads sequentially, not via hyperlinks.
Compare files on disk in skills/*/modules/ against the
modules: list in each skill's SKILL.md frontmatter. Files
that exist on disk but are not listed in the manifest are
invisible to progressive loading and may be dead weight or
missing from the load path.
Always excludes: .venv, __pycache__, .git, node_modules, dist, build, vendor
Also respects: .gitignore, .bloat-ignore
--dry-run for previewsbloat-auditor agent - Executes scansunbloat-remediator agent - Safe remediationcontext-optimization skill - MECW principles/bloat-scan command - User-facing slash command that invokes this
skill; there is no separate bloat-scan skillmodules/remediation-types.mdTurn hunches into accepted results: worthiness score, evidence bar, research-to-rules. Use when vetting ideas. Not for QA; use night-market-validation-and-qa.
Generates and self-executes a diff-derived test plan for a PR. Use when validating PR changes before merge. Do not use for code review; use sanctum:pr-review.
Curate the web-capture index. Use when the capture backlog grows, captures sit unprocessed at seedling/pending, or to surface stored research during work.