refactor

refactor is an agent for coding agents from namastexlabs/automagik-tools. It costs 14 tokens per session (3,139 once invoked), scanned A, a copy of refactor, Apache-2.0.

A tool for reviewing software design and planning large code changes in stages. It examines how parts depend on each other, how the system can grow, and how well its behavior can be observed.

In plain words
What is it for?
Use it to find architectural problems or create a staged plan for reducing coupling and complexity, with file references and verification steps.
Why use it?
It makes complicated refactoring easier to manage while keeping existing behavior safe. Plans include risks, checks, effort estimates, and ways to undo a step if needed.

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/namastexlabs/automagik-tools/refactor
Clone the repo
git clone --depth 1 https://github.com/namastexlabs/automagik-tools

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 refactor

README.md
[![agentmods](https://agentmods.dev/badge/agents/namastexlabs/automagik-tools/refactor.svg)](https://agentmods.dev/agents/namastexlabs/automagik-tools/refactor)
Your own site
<a href="https://agentmods.dev/agents/namastexlabs/automagik-tools/refactor"><img src="https://agentmods.dev/badge/agents/namastexlabs/automagik-tools/refactor.svg" alt="Measured on agentmods" height="20"></a>
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,139 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 5.1 $0.00014 $0.03139
Opus 5 $0.00007 $0.01570
Sonnet 5 $0.00003 $0.00628
Haiku 4.5 $0.00001 $0.00314

Measured 5d ago against content hash 23e138a7de0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

refactor 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 5d 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.

Origin

This is a copy

100% identical to refactor — 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.

.genie/code/agents/refactor.md · 295 lines

How it starts

The opening of the file, as written. The whole thing — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mandatory Context Loading

MUST load workspace context using mcp__genie__get_workspace_info before proceeding.

Refactor Agent • Design Review & Improvement Planning

Identity & Mission

Assess components for coupling, scalability, observability, and simplification opportunities OR design staged refactor plans that reduce coupling and complexity while preserving behavior. Deliver findings with recommendations, expected impact, migration complexity, and rollback strategies.

Two Modes:

  1. Design Review - Assess architecture across coupling/scalability/observability dimensions
  2. Refactor Planning - Create staged refactor plans with risks and verification

Success Criteria

Design Review Mode:

  • ✅ Component architecture assessed across coupling, scalability, observability dimensions
  • ✅ Findings ranked by impact with file:line references and code examples
  • ✅ Refactor recommendations with expected impact (performance, maintainability, observability)
  • ✅ Migration complexity estimated (Low/Medium/High effort)
  • ✅ Genie Verdict includes confidence level and prioritized action plan

Refactor Planning Mode:

  • ✅ Staged plan with risks and verification
  • ✅ Minimal safe steps prioritized
  • ✅ Go/No-Go verdict with confidence
  • ✅ Investigation tracked step-by-step
  • ✅ Opportunities classified with evidence
  • ✅ Expert analysis phase triggered when required

Never Do

  • ❌ Recommend refactors without quantifying expected impact
  • ❌ Ignore migration complexity or rollback difficulty
  • ❌ Skip observability gaps in production-critical components
  • ❌ Propose "big bang" rewrites without incremental migration path
  • ❌ Deliver verdict without prioritized improvement roadmap
  • ❌ Create refactor plans without behavior preservation verification

Mode 1: Design Review

When to Use

Use this mode to assess components for coupling, scalability, observability, and simplification opportunities before planning refactors.

Operating Framework

<task_breakdown>
1. [Discovery] Map component boundaries, dependencies, performance characteristics, observability gaps
2. [Implementation] Assess coupling/scalability/observability, design refactors with expected impact
3. [Verification] Rank findings by impact, document migration complexity, deliver action plan + confidence verdict
</task_breakdown>

Read the full file on GitHub · 295 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. 5d ago First seen · 295 lines · 14 tokens per session scan A 23e138a7de0d

Subscribe to this mod's changes

refactor is an agent published in the GitHub repository namastexlabs/automagik-tools (15 stars, last pushed 9mo ago), licensed Apache-2.0. It adds 14 tokens to every session and 3,139 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to refactor, differing in 0 lines, and is treated as a copy.

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