Agent skill

Clean Up

by jrkerns in jrkerns/pylinac

Clean up code with lightweight clarity improvements. An agent skill from jrkerns/pylinac.

MITAuto-check passedDevelopment

Install Clean Up

skills CLI
$ npx skills add jrkerns/pylinac --skill clean-up -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jrkerns/pylinac clean-up --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jrkerns/pylinac.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/clean-up .claude/skills/clean-up && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
clean-up
GitHub stars
202
Token cost
~146 tokens
SKILL.md length
69 words
Files
1
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

Clean up code with lightweight clarity improvements. An agent skill from jrkerns/pylinac.

  • Tasks that involve Refactoring
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Clean Up is an agent skill from jrkerns/pylinac. Clean up code with lightweight clarity improvements

Its SKILL.md is about 150 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Refactoring. The repository describes itself as: An image analysis library for medical physics. The licence is MIT.

When your agent uses it

  • Tasks that involve Refactoring

Example prompts

  • “/clean-up”

What it can do on your machine

Read from SKILL.md and the folder at commit 499b06c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Clean Up loads about 146 tokens when it runs. Until then it costs about 15 tokens; SKILL.md has 69 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~15
When it runs · the whole SKILL.md, loaded when a task matches
~146

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jrkerns/pylinac at commit 499b06c, republished under its MIT licence (© jrkerns). 69 words, ~146 tokens.

Download SKILL.mdSave it as .claude/skills/clean-up/SKILL.md (or your agent's skills folder).
name
clean-up
description
Clean up code with lightweight clarity improvements
disable-model-invocation
true

clean-up

When cleaning up, the goal is to make simple modifications that improve clarity or structure of the code without modifying lots of logic.

Don't be aggressive Opportunities for refactor include:

  • Adding or clarifying types
  • Adding or clarifying docstrings
  • Adding comments to code blocks
  • Using newer syntax supported by the language
  • Clarifying documentation

Do not make helper functions that are 2 lines or less. In that case, don't refactor.

© jrkerns, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/clean-up of jrkerns/pylinac.

Open the folder on GitHubat commit 499b06c

Compare with similar skills

Clean Up next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Clean Up compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Clean Up this skilljrkerns/pylinac202—~146Automated safety check: PassMIT
Guidelinesakash-network/node1.1k20 repos~577Automated safety check: PassMIT
Component Refactoringlangflow-ai/langflow155k—~3.5kAutomated safety check: PassMIT
Migrate Core Code to Submodulestinyhumansai/openhuman42k—~2.6kAutomated safety check: PassGPL-3.0
ast-grep Structural Searchcode-yeongyu/oh-my-openagent70k—~3.3kAutomated safety check: PassMIT
Systematic Code Refactoringluongnv89/claude-howto42k—~3kAutomated safety check: PassMIT

Similar skills

  • Guidelines

    akash-network/node

    Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.

    1.1k GitHub starsUsed in 20 repos~577 tokens
    DevelopmentAuto-check passed
  • Component Refactoring

    langflow-ai/langflow

    Refactor high-complexity React components in Langflow frontend.

    155k GitHub stars~3.5k tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Migrate Core Code to Submodules

    tinyhumansai/openhuman

    Plans and carries out moving non-host-specific code and its tests from the OpenHuman core into vendored tiny submodule libraries, then releases the submodule and re-pins the host.

    42k GitHub stars~2.6k tokensUpdated today
    DevelopmentAuto-check passed
  • ast-grep Structural Search

    code-yeongyu/oh-my-openagent

    Searches and rewrites code by syntax-tree shape across 25 languages with ast-grep, for codemods, structural queries and YAML lint rules, using a Python wrapper script.

    70k GitHub stars~3.3k tokensUpdated today
    DevelopmentAuto-check passed
  • Systematic Code Refactoring

    luongnv89/claude-howto

    Guides refactoring in phases based on Martin Fowler's method: research, test coverage check, planning and small tested steps, with your approval at each phase.

    42k GitHub stars~3k tokensUpdated 9 days ago
    DevelopmentAuto-check passed
  • Codex

    skills-directory/skill-codex

    A skill your agent uses when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing

    1.5k GitHub starsUsed in 3 repos~1.8k tokens
    DevelopmentAuto-check passed

More from jrkerns/pylinac

  • Generate Pull Request

    jrkerns/pylinac

    Generate a draft Bitbucket pull request with proper formatting

    202 GitHub stars~304 tokensUpdated yesterday
    Auto-check passed
  • Pull Request Review

    jrkerns/pylinac

    Review a Bitbucket pull request against the project checklist

    202 GitHub stars~141 tokensUpdated yesterday
    Auto-check passed
  • Refactor

    jrkerns/pylinac

    Refactor code for big-picture architectural improvements. An agent skill from jrkerns/pylinac.

    202 GitHub stars~175 tokensUpdated yesterday
    Auto-check passed

Categories

Questions about Clean Up

What does Clean Up do?

Clean up code with lightweight clarity improvements. An agent skill from jrkerns/pylinac. Clean Up is an agent skill from jrkerns/pylinac.

When should I use Clean Up?

Clean Up fits situations like: tasks that involve Refactoring.

How do I install Clean Up in Claude Code?

Run `npx skills add jrkerns/pylinac --skill clean-up -a claude-code`. Or copy the skill folder (.agents/skills/clean-up in jrkerns/pylinac) into .claude/skills/clean-up in your project. Claude Code loads it when a task matches its description.

How do I install Clean Up in Codex?

Run `npx skills add jrkerns/pylinac --skill clean-up -a codex`. Or copy the skill folder (.agents/skills/clean-up in jrkerns/pylinac) into .agents/skills/clean-up in your project. Codex loads it when a task matches its description.

Can I use Clean Up in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jrkerns/pylinac --skill clean-up -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/clean-up, .gemini/skills/clean-up, .github/skills/clean-up and .opencode/skills/clean-up in your project.

What does Clean Up need to run?

SKILL.md names no scripts, command-line tools or credentials: Clean Up is instructions for the agent only.

Does Clean Up access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Clean Up safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Clean Up use?

Clean Up is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Clean Up use?

About 146 tokens (SKILL.md is roughly 584 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Clean Up?

Skills that share tags, products or a category with Clean Up: Guidelines (akash-network/node, 1.1k stars), Component Refactoring (langflow-ai/langflow, 155k stars), Migrate Core Code to Submodules (tinyhumansai/openhuman, 42k stars) and ast-grep Structural Search (code-yeongyu/oh-my-openagent, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Clean Up?

jrkerns (a GitHub user) maintains it in jrkerns/pylinac, which has 202 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 8, 2026.

Source: jrkerns/pylinac on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.