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Py Refactor

Checked
l-mb·vlatest·backend·MIT

Automates Python code refactoring tasks like renaming variables, extracting methods, and improving readability.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add l-mb/python-refactoring-skills --skill py-refactor -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

l-mb

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned l-mb/python-refactoring-skills at b08357109f.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
3 files, 396 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill automates Python code refactoring tasks. It can identify and apply common refactoring patterns, improving code readability and maintainability. The tool aims to reduce manual effort in modernizing existing Python codebases.

When to use it

  • Improving Legacy Code: Refactor older Python scripts that are difficult to understand or modify.
  • Code Cleanup Before Testing: Prepare code for testing by applying consistent formatting and simplifying complex logic.
  • Automating Repetitive Tasks: Reduce the time spent on common refactoring operations like renaming variables or extracting methods.
  • Modernizing Python Versions: Adapt older Python 2 code to be compatible with newer versions (Python 3).

Key capabilities

  • Automated refactoring patterns
  • Code readability improvements
  • Maintainability enhancements
  • Compatibility updates (Python 2 to Python 3)

Example prompts

  • "Refactor this function to use list comprehensions."
  • "Extract the repeated code block into a separate method."
  • "Rename variable 'data' to 'user_records'."

Tips & gotchas

  • The skill requires access to the Python source code.
  • Review refactoring changes carefully before committing them, as automated changes may not always be perfect.