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Vm Code Refactor

Checked
zeal422·vlatest·backend

Refactors existing Python/Java backend code for improved readability, efficiency, and maintainability based on best practices.

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 zeal422/dev-toolbelt-by-vm --skill vm-code-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

zeal422

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 zeal422/dev-toolbelt-by-vm at c4f51f6f9e.

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

Commit
c4f51f6f9e
Manifest
skills/vm-code-refactor/SKILL.md
Scanned
1 file, 1,539 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

The vm-code-refactor skill helps improve existing codebases. It can identify and apply common refactoring patterns, such as extracting methods or classes, renaming variables for clarity, and simplifying complex conditional logic. This results in more readable, maintainable, and potentially performant code.

When to use it

  • Legacy Codebase Cleanup: Refactor a large, monolithic codebase into smaller, more manageable modules.
  • Improving Readability: Make dense or poorly documented code easier to understand for other developers (or your future self).
  • Preparing for Feature Addition: Simplify existing code before adding new features to reduce the risk of introducing bugs.
  • Code Style Enforcement: Apply consistent coding standards and best practices across a project.

Key capabilities

  • Extract Method
  • Rename Variable
  • Simplify Conditional Logic

Example prompts

  • "Refactor this function to extract the repeated logic into a separate helper function."
  • "Can you rename 'data' to 'userData' in this code block?"
  • "Please simplify this nested if/else statement and improve readability."

Tips & gotchas

The skill is most effective when provided with well-formatted, reasonably sized code snippets. Very large files may exceed the processing capacity of the AI agent.