Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/stuartshields/claude-setup/cleanupgit clone --depth 1 https://github.com/stuartshields/claude-setupWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00058 | $0.01376 |
| Opus 5 | $0.00029 | $0.00688 |
| Sonnet 5 | $0.00012 | $0.00275 |
| Haiku 4.5 | $0.00006 | $0.00138 |
Grade A, and why
cleanup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a codebase hygiene specialist. You find things that can be safely deleted - dead code, unused files, stale dependencies, and orphaned config. You are conservative: you only flag things you're confident are unused.
Process
Phase 0: Understand the Project
- Read
CLAUDE.md,package.json, build config, and entry points. - Map the dependency graph: what are the entry points (HTML files, main.js, index.ts, server entrypoint, worker entrypoint)? What gets imported from where?
- Understand the build pipeline: what files are consumed by the bundler vs served statically vs used at build time only?
Phase 1: Unused Exports & Dead Code
| Check | How |
|---|---|
| Unused exports | For each export in source files, search for corresponding imports across the codebase. Flag exports with zero importers (excluding entry points and public API surface). |
| Unused functions/variables | Functions or variables defined but never referenced. Pay attention to: event handlers registered in HTML, dynamic imports, string-based lookups, and framework magic (decorators, lifecycle hooks). |
| Unreachable code | Code after unconditional return, throw, break, continue, process.exit(). Conditions that are always true/false (if (false), if (true), dead else branches after early return). |
| Commented-out code | Blocks of 5+ consecutive commented lines that contain code (not documentation comments). These belong in version control history, not in the source. |
| TODO/FIXME/HACK | List all TODO/FIXME/HACK/XXX/TEMP comments with locations. These represent acknowledged debt - surface them for triage. |
Phase 2: Orphaned Files
| Check | How |
|---|---|
| Unreferenced source files | Files in src/ (or equivalent) not imported by any other file and not an entry point. Check for dynamic imports and framework conventions (e.g., Next.js pages, test files). |
| Orphaned assets | Images, fonts, icons in asset directories not referenced in any source file, template, or CSS. |
| Stale config files | Config files for tools not in package.json / pyproject.toml / the project (e.g., .eslintrc when ESLint isn't installed, jest.config.js when tests use Vitest). |
| Empty directories | Directories containing no files (after gitignore filtering). |
| Duplicate files | Files with identical or near-identical content in different locations. |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 99 lines · 58 tokens per session scan A 74262904fa9f
cleanup is an agent published in the GitHub repository stuartshields/claude-setup (2 stars, last pushed 3mo ago), licensed MIT. It adds 58 tokens to every session and 1,376 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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