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.
git clone --depth 1 https://github.com/YousefNabil-SOC/claude-apexWrote 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/yousefnabil-soc/claude-apex/refactor-cleaner)<a href="https://agentmods.dev/agents/yousefnabil-soc/claude-apex/refactor-cleaner"><img src="https://agentmods.dev/badge/agents/yousefnabil-soc/claude-apex/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/yousefnabil-soc/claude-apex/refactor-cleaner"><img src="https://agentmods.dev/badge/agents/yousefnabil-soc/claude-apex/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 | $0.00026 | $0.00308 |
| Sonnet 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 9d 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.
- 9d ago First seen · 86 lines · 51 tokens per session scan A 30ed8fae5a0b
refactor-cleaner is an agent published in the GitHub repository YousefNabil-SOC/claude-apex (2 stars, last pushed 2mo ago), licensed MIT. It adds 51 tokens to every session and 615 once invoked, about $0.0003 per session on Opus 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.
Other agents, from other repositories
refactor-cleaner
An agent for finding and safely removing dead code, unused exports, unused dependencies, and duplicate implementations.
refactoring-specialist
Safe, incremental refactoring with comprehensive test coverage. Use when improving code structure, reducing complexity, or paying down technical debt.
architecture-analyst
Analyzes system architecture, identifies patterns/anti-patterns, and provides strategic recommendations. Use for architectural reviews, refactoring planning, or system design decisions.
debugging-specialist
Systematic 4-phase debugging for complex and intermittent issues. Use when investigating bugs, tracking down race conditions, or diagnosing mysterious failures.
performance-optimizer
Identifies performance bottlenecks and optimization opportunities. Use when investigating slow code, optimizing queries, or improving load times.
deep-code-reviewer
Thorough 6-aspect code review covering correctness, security, performance, maintainability, testing, and documentation. Use for comprehensive PR reviews or code quality audits.