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Refactor

Checked
zpankz·vlatest·backend

Refactors complex Python/Django backend code into cleaner, more maintainable modules using established design patterns.

Repository

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 zpankz/mcp-skillset --skill 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

zpankz

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 zpankz/mcp-skillset at d9355d58c0.

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

Commit
d9355d58c0
Manifest
refactor/SKILL.md
Scanned
22 files, 3,729 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 allows an AI agent to refactor existing code. It can improve code readability, maintainability, and efficiency by applying common refactoring patterns like extracting methods, renaming variables, and simplifying conditional logic. The goal is to produce cleaner, more understandable code without changing the functionality.

When to use it

  • Legacy Codebase Cleanup: Refactor a large, complex function into smaller, more manageable pieces.
  • Code Review Assistance: Suggest improvements to existing code during a review process.
  • Technical Debt Reduction: Address areas of code that are difficult to understand or maintain.
  • Preparing for New Features: Simplify and improve the structure of code before adding new functionality.

Key capabilities

  • Extract Method
  • Rename Variable
  • Simplify Conditional Logic
  • Improve Code Readability

Example prompts

  • "Refactor this function to extract a helper method."
  • "Can you suggest ways to simplify this conditional statement?"
  • "Please rename the variable 'temp' to something more descriptive in this code block."

Tips & gotchas

The skill is most effective when provided with clear, well-formatted code. It may struggle with highly complex or obfuscated code without additional context.