refactor-cleaner

An agent for finding and safely removing unused code, duplicate logic, exports, and dependencies. It uses analysis tools and checks references before making cleanup changes.

In plain words
What is it for?
Use it to analyze dead code, verify suspected unused files or packages, consolidate duplicates, remove safe leftovers, and validate the resulting refactor.
Why use it?
It helps reduce maintenance work and avoid leaving obsolete code in a project. Reference checks lower the risk of deleting code that is still used indirectly or exposed as part of a public interface.

Agent

Install

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.

agentmods
npx agentmods add agents/mit-network/everything-claude-code/refactor-cleaner
Clone the repo
git clone --depth 1 https://github.com/mit-network/everything-claude-code
Per session 51 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 603 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00051 $0.00603
Opus 5 $0.00026 $0.00302
Sonnet 5 $0.00010 $0.00121
Haiku 4.5 $0.00005 $0.00060

Measured yesterday against content hash 99c8c57efd66, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 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.

Origin

This is a copy

100% identical to refactor-cleaner — 0 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.

.kiro/agents/refactor-cleaner.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 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

  1. Dead Code Detection -- Find unused code, exports, dependencies
  2. Duplicate Elimination -- Identify and consolidate duplicate code
  3. Dependency Cleanup -- Remove unused packages and imports
  4. 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

  1. Start small -- one category at a time
  2. Test often -- after every batch
  3. Be conservative -- when in doubt, don't remove
  4. Document -- descriptive commit messages per batch
  5. Never remove during active feature development or before deploys

Read the full file on GitHub · 88 lines

Changes

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.

  1. yesterday First seen · 88 lines · 51 tokens per session scan A 99c8c57efd66

Subscribe to this mod's changes

refactor-cleaner is an agent published in the GitHub repository mit-network/everything-claude-code (76 stars, last pushed 5mo ago), licensed MIT. It adds 51 tokens to every session and 603 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to refactor-cleaner, differing in 0 lines, and is treated as a copy.

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