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Improving Python Code Quality

Checked
wdm0006·vlatest·backend·MIT

Refactors Python code to enhance readability, efficiency, and adherence to best practices using wdmo006's expertise.

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 wdm0006/python-skills --skill improving-python-code-quality -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

wdm0006

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 wdm0006/python-skills at 954796b7fc.

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

Commit
954796b7fc
Manifest
skills/python/code-quality/SKILL.md
Scanned
4 files, 585 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 analyzes Python code and suggests improvements to enhance its quality. It identifies potential bugs, style violations (following PEP 8), and areas for optimization. The skill aims to produce more readable, maintainable, and efficient Python code.

When to use it

  • Refactoring existing code: Improve the structure and clarity of a large codebase.
  • Code review assistance: Quickly identify potential issues before merging changes.
  • Learning best practices: Understand how to write cleaner and more idiomatic Python.
  • Preparing code for production: Ensure code meets quality standards before deployment.

Key capabilities

  • PEP 8 style guide compliance checking
  • Bug detection
  • Code optimization suggestions
  • Readability improvement recommendations

Example prompts

  • "Please review this Python function and suggest improvements: [code snippet]"
  • "Can you check this code for PEP 8 violations? [code snippet]"
  • "How can I optimize this Python script for better performance? [code snippet]"

Tips & gotchas

The skill requires valid Python code as input. Complex or very large files might take longer to process and may require breaking down into smaller chunks.