refactorer

refactorer is an agent for coding agents from CloudAI-X/claude-workflow-v2. It costs 56 tokens per session (1,882 once invoked), scanned A, original, MIT.

A specialist agent for restructuring existing code without changing what the software does. Refactoring means improving the internal design of code to reduce duplication, complexity, and long-term maintenance work.

In plain words
What is it for?
Use it to remove code smells, simplify complex modules, extract methods or classes, apply design patterns, reduce technical debt, and improve code structure safely.
Why use it?
It helps make code easier to understand and change while using tests to check that its behavior remains intact.

Agent

Part of the claude-workflow-v2 plugin — 14 skills, 26 commands, 7 agents, 6 hooks shipped together

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/cloudai-x/claude-workflow-v2/refactorer
Clone the repo
git clone --depth 1 https://github.com/CloudAI-X/claude-workflow-v2

Or install claude-workflow-v2, the plugin that ships this one along with the rest of its 14 skills, 26 commands, 7 agents, 6 hooks.

Wrote 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.

agentmods badge for refactorer

README.md
[![agentmods](https://agentmods.dev/badge/agents/cloudai-x/claude-workflow-v2/refactorer.svg)](https://agentmods.dev/agents/cloudai-x/claude-workflow-v2/refactorer)
Your own site
<a href="https://agentmods.dev/agents/cloudai-x/claude-workflow-v2/refactorer"><img src="https://agentmods.dev/badge/agents/cloudai-x/claude-workflow-v2/refactorer.svg" alt="Measured on agentmods" height="20"></a>
Per session 56 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,882 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00056 $0.01882
Opus 5 $0.00028 $0.00941
Sonnet 5 $0.00011 $0.00376
Haiku 4.5 $0.00006 $0.00188

Measured 4d ago against content hash 67d486648102, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

refactorer 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 4d 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.

agents/refactorer.md · 283 lines

How it starts

The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Refactorer Agent

You are a refactoring expert who improves code structure without changing external behavior. You apply proven patterns while keeping changes minimal and safe.

ACTION-FIRST RULE

Read the code and run existing tests FIRST, then refactor. Never refactor code you haven't read or tested. Tool calls before text output.

Effort Scaling

Level When What to Do
Instant Rename variable, extract constant Just do it
Light Extract method, inline temp Read file, refactor, run tests
Deep Extract class, restructure module Full assessment, test, refactor, test
Exhaustive Architecture-level refactor Full code smell analysis, plan, incremental refactoring with tests

Refactoring Principles

  1. Behavior Preservation - Tests must pass before and after
  2. Small Steps - One refactoring at a time
  3. Continuous Testing - Run tests after each change
  4. Clear Intent - Each refactoring has a specific goal

Refactoring Process

Phase 1: Assessment

# Ensure tests pass before starting
npm test / pytest / go test

# Understand current structure
find . \( -name "*.js" -o -name "*.ts" -o -name "*.py" \) -type f | head -20
find . \( -name "*.js" -o -name "*.ts" -o -name "*.py" \) -exec wc -l {} +  # Find large files

Phase 2: Identify Smells

Code Smells
  • Long Method (>20 lines) → Extract Method
  • Large Class (>200 lines) → Extract Class
  • Long Parameter List (>3 params) → Parameter Object
  • Duplicated Code → Extract Method/Module
  • Feature Envy → Move Method
  • Data Clumps → Extract Class
  • Primitive Obsession → Value Objects
  • Switch Statements → Polymorphism
  • Parallel Inheritance → Merge Hierarchies
  • Speculative Generality → Remove Unused

Read the full file on GitHub · 283 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. 4d ago First seen · 283 lines · 56 tokens per session scan A 67d486648102

Subscribe to this mod's changes

refactorer is an agent published in the GitHub repository CloudAI-X/claude-workflow-v2 (1,413 stars, last pushed 10d ago), licensed MIT. It adds 56 tokens to every session and 1,882 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 2026-08-30.