code-cleanup

code-cleanup is a skill for Claude Code, Codex from johnkozaris/jko-claude-plugins. It costs 131 tokens per session (453 once invoked), scanned A, original, MIT.

A codebase review and cleanup guide for finding obsolete or duplicated parts of a software product. It covers code, tests, files, settings, dependencies, scripts, and documentation.

In plain words
What is it for?
Trace a feature through the whole application, identify dead code and abandoned feature areas, finish partial migrations, and remove obsolete responsibilities safely.
Why use it?
It helps when code still builds or passes tests but no longer serves the product. It also exposes half-removed features, parallel implementations, stale configuration, and unused packages.

Skill for Claude CodeCodex

Part of the code-cleanup plugin — 1 skill 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 skills/johnkozaris/jko-claude-plugins/code-cleanup
Any agent
npx skills add johnkozaris/jko-claude-plugins --skill code-cleanup
Clone the repo
git clone --depth 1 https://github.com/johnkozaris/jko-claude-plugins

Made for: Claude Code, Codex.

Or install code-cleanup, the plugin that ships this one along with the rest of its 1 skill.

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 code-cleanup

README.md
[![agentmods](https://agentmods.dev/badge/skills/johnkozaris/jko-claude-plugins/code-cleanup.svg)](https://agentmods.dev/skills/johnkozaris/jko-claude-plugins/code-cleanup)
Your own site
<a href="https://agentmods.dev/skills/johnkozaris/jko-claude-plugins/code-cleanup"><img src="https://agentmods.dev/badge/skills/johnkozaris/jko-claude-plugins/code-cleanup.svg" alt="Measured on agentmods" height="20"></a>
Per session 131 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 453 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 $0.00131 $0.00453
Opus 5 $0.00066 $0.00227
Sonnet 5 $0.00026 $0.00091
Haiku 4.5 $0.00013 $0.00045

Measured 4d ago against content hash 27559fb6bb88, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-cleanup 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.

plugins/code-cleanup/skills/code-cleanup/SKILL.md · 45 lines

What it actually says

Code Cleanup

Understand the whole product before judging its code: who uses it, what they need, its functional and non-functional goals, boundaries, supported workflows, non-goals, and pivots.

Review every relevant file in that product boundary, including cooperating repositories. Dead code often sits outside recent changes. Follow features through construction, state, persistence, protocols, deployment, recovery, tests, settings, assets, scripts, and documentation.

Look beyond unused symbols. Find code that compiles, runs, or passes tests but no longer helps the product; complete dead feature islands whose members keep one another looking alive; split-brain implementations and parallel lifecycles; half-removed features; abandoned optimizations and future-proofing; dead members hidden in large files; misleading comments; unused packages, imports, features, configuration, environment variables, defaults, and settings; and residue left by an agent's abandoned approaches.

Tests, helpers, and comments inside a dead island do not prove that it is alive. Zoom out until the product responsibility is clear, then be willing to delete the whole obsolete responsibility rather than only its obvious leaves.

When relevant, briefly check compatibility, dependency provenance, concurrent work, runtime evidence, and UI intent without turning them into a checklist.

Preserve unrelated user work and real external compatibility. Validate the surviving product with the repository's actual gates and a real boundary when compilation or mocks are insufficient.

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 · 45 lines · 131 tokens per session scan A 27559fb6bb88

Subscribe to this mod's changes

code-cleanup is a skill published in the GitHub repository johnkozaris/jko-claude-plugins (11 stars, last pushed 7d ago), licensed MIT. It adds 131 tokens to every session and 453 once invoked, about $0.0007 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.

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