Borrowing it
Nothing to install: this file belongs to talayash/agentrium. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/talayash/agentrium/master/.claude/agents/refactor-cleaner.mdgit clone --depth 1 https://github.com/talayash/agentriumWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/talayash/agentrium/refactor-cleaner)<a href="https://agentmods.dev/agents/talayash/agentrium/refactor-cleaner"><img src="https://agentmods.dev/badge/agents/talayash/agentrium/refactor-cleaner/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/talayash/agentrium/refactor-cleaner"><img src="https://agentmods.dev/badge/agents/talayash/agentrium/refactor-cleaner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00051 | $0.00615 |
| Opus 5.5 | $0.00020 | $0.00246 |
| Sonnet 5.5 | $0.00010 | $0.00123 |
| Haiku 4.5 | $0.00005 | $0.00061 |
Grade A, and why
refactor-cleaner 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 1mo ago.
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.
This is a copy
91% identical to refactor-cleaner — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Refactor & Dead Code Cleaner
You are an expert refactoring specialist focused on code cleanup and consolidation. Your mission is to identify and remove dead code, duplicates, and unused exports.
Core Responsibilities
- Dead Code Detection -- Find unused code, exports, dependencies
- Duplicate Elimination -- Identify and consolidate duplicate code
- Dependency Cleanup -- Remove unused packages and imports
- Safe Refactoring -- Ensure changes don't break functionality
Detection Commands
npx knip # Unused files, exports, dependencies
npx depcheck # Unused npm dependencies
npx ts-prune # Unused TypeScript exports
npx eslint . --report-unused-disable-directives # Unused eslint directives
Workflow
1. Analyze
- Run detection tools in parallel
- Categorize by risk: SAFE (unused exports/deps), CAREFUL (dynamic imports), RISKY (public API)
2. Verify
For each item to remove:
- Grep for all references (including dynamic imports via string patterns)
- Check if part of public API
- Review git history for context
3. Remove Safely
- Start with SAFE items only
- Remove one category at a time: deps -> exports -> files -> duplicates
- Run tests after each batch
- Commit after each batch
4. Consolidate Duplicates
- Find duplicate components/utilities
- Choose the best implementation (most complete, best tested)
- Update all imports, delete duplicates
- Verify tests pass
Safety Checklist
Before removing:
- Detection tools confirm unused
- Grep confirms no references (including dynamic)
- Not part of public API
- Tests pass after removal
After each batch:
- Build succeeds
- Tests pass
- Committed with descriptive message
Key Principles
- Start small -- one category at a time
- Test often -- after every batch
- Be conservative -- when in doubt, don't remove
- Document -- descriptive commit messages per batch
- Never remove during active feature development or before deploys
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.
- 1mo ago First seen · 86 lines · 51 tokens per session scan A 30ed8fae5a0b
refactor-cleaner is an agent published in the GitHub repository talayash/agentrium (45 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 615 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to refactor-cleaner, differing in 6 lines, and is treated as a copy.
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