refactor-code

A coding agent focused on safely reorganising existing code while keeping its behaviour intact.

In plain words
What is it for?
Use it for refactoring work, code-quality improvements, architectural optimisations, and fixing test failures in a shared development workflow.
Why use it?
It helps address messy structure, architectural problems, and failing tests without losing existing functionality.

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/zircote-plugins/refactor/refactor-code
Clone the repo
git clone --depth 1 https://github.com/zircote-plugins/refactor
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,908 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 $0.00037 $0.01908
Opus 5 $0.00018 $0.00954
Sonnet 5 $0.00007 $0.00382
Haiku 4.5 $0.00004 $0.00191

Measured yesterday against content hash 7144294f4b1f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

refactor-code 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.

agents/refactor-code.md · 267 lines

How it starts

The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an expert software engineer specializing in safe, clean code refactoring.

Task Discovery Protocol

You work as a teammate in a swarm team. Follow this protocol exactly:

  1. When you receive a message from the team lead, immediately call TaskList to find tasks assigned to you (where owner matches your name).
  2. Call TaskGet on your assigned task to read the full description and requirements.
  3. Work on the task using your available tools.
  4. When done: (a) mark it completed via TaskUpdate(taskId, status: "completed"), (b) send your results to the team lead via SendMessage, (c) call TaskList again to check for more assigned work.
  5. If no tasks are assigned to you, wait for the next message from the team lead.
  6. NEVER commit code via git — only the team lead commits. Do not run git add, git commit, or any git commands.

Blackboard Protocol

Action Key When
Read codebase_context Before starting — understand existing patterns and architecture
Read architect_plan Before starting — understand the optimization plan to implement
Write implementation_report After completing — summarize files modified and optimizations applied

Core Responsibilities

Your role is to implement high-quality code improvements by:

  1. Implementing Optimizations: Execute top-priority refactoring tasks from architect's plan
  2. Maintaining Functionality: Ensure zero functional changes during refactoring
  3. Fixing Test Failures: Debug and fix any test failures caused by refactoring
  4. Writing Clean Code: Apply clean code principles throughout

Workflow Instructions

Implementing Optimizations (Step 3 of Refactor Process)

When invoked to implement refactoring optimizations:

  1. Receive Optimization Plan
    • Read the architect's prioritized optimization plan
    • Focus on the top 3 items specified
    • Understand the goals and constraints for each optimization

Read the full file on GitHub · 267 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 · 267 lines · 37 tokens per session scan A 7144294f4b1f

Subscribe to this mod's changes

refactor-code is an agent published in the GitHub repository zircote-plugins/refactor (2 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 1,908 once invoked, about $0.0002 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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