refactor

refactor is a skill for Claude Code, Codex from alphacornutum/layercake. It costs 108 tokens per session (405 once invoked), scanned A, original, MIT.

A procedure for restructuring existing code without changing what it does. It uses small steps, existing tests, and repeated checks to improve the code's structure.

In plain words
What is it for?
It helps simplify functions, improve names, extract helpers, separate responsibilities, and untangle dependencies.
Why use it?
It reduces duplication and complexity while lowering the risk of accidentally changing behavior during cleanup.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps simplify functions, improve names, extract helpers, separate responsibilities, and untangle dependencies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alphacornutum/layercake/refactor
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.

Any agent
npx skills add alphacornutum/layercake --skill refactor
Clone the repo
git clone --depth 1 https://github.com/alphacornutum/layercake

Made for: Claude Code, Codex.

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/skills/alphacornutum/layercake/refactor/github.svg)](https://agentmods.dev/skills/alphacornutum/layercake/refactor)
Your own site
<a href="https://agentmods.dev/skills/alphacornutum/layercake/refactor"><img src="https://agentmods.dev/badge/skills/alphacornutum/layercake/refactor/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.

agentmods 80×15 button for refactor

Your own site · 80×15
<a href="https://agentmods.dev/skills/alphacornutum/layercake/refactor"><img src="https://agentmods.dev/badge/skills/alphacornutum/layercake/refactor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 405 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00108 $0.00405
Opus 5.5 $0.00043 $0.00162
Sonnet 5.5 $0.00022 $0.00081
Haiku 4.5 $0.00011 $0.00040

Measured 20d ago against content hash 1524faa347a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 20d 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.

.ai/src/skills/refactor/SKILL.md · 28 lines

What it actually says

Refactor

Safely restructure code while preserving existing behavior.

Steps

  1. Verify tests exist — Before touching anything, confirm test coverage on the code you'll change. If tests are missing, write them first against current behavior.
  2. Name the problem — What exactly is wrong?
    • Duplicated logic? Function doing too many things? Poor naming? Tangled dependencies? Wrong abstraction?
  3. Plan the change — Describe what you'll do before doing it. Small, safe steps.
  4. One change at a time — Each step keeps the code working. Big rewrites collapse on themselves; small steps stay reversible.
  5. Run tests after each step — If tests fail, you changed behavior. Undo and try smaller.
  6. Stop when good enough — Clear, tested, easy to change = done.

Gotchas

  • Extract abstractions only when there is real duplication — three similar lines beat a premature helper.
  • Reach for a design pattern when the problem calls for one, not to demonstrate knowledge.
  • Confirm with the user before renaming across the entire codebase — the blast radius is bigger than it looks.
  • Map the downstream callers before touching a public API.
  • Keep refactors and feature work in separate commits or PRs.
  • Leave code alone when it works, is clear, and is tested — personal preference is not a reason to refactor.
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. 20d ago First seen · 28 lines · 108 tokens per session scan A 1524faa347a3

Subscribe to this mod's changes

refactor is a skill published in the GitHub repository alphacornutum/layercake (0 stars, last pushed 3d ago), licensed MIT. It adds 108 tokens to every session and 405 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-26.

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