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Python Code Quality

Checked
laurigates·vlatest·backend·MIT

Analyzes Python code for style, errors, and potential improvements using industry best practices and linters.

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 laurigates/claude-plugins --skill 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

laurigates

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 laurigates/claude-plugins at 45d1d7dcf6.

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

Commit
45d1d7dcf6
Manifest
python-plugin/skills/python-code-quality/SKILL.md
Scanned
1 file, 67 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

The python-code-quality skill enables AI agents to analyze Python codebases for structural integrity, style compliance, and potential security vulnerabilities. It automatically generates comprehensive reports detailing issues found alongside actionable recommendations for remediation.

When to use it

  • Before merging pull requests to ensure new code adheres to team standards.
  • During routine maintenance to identify deprecated libraries or outdated dependencies.
  • When onboarding new developers to quickly audit existing legacy codebases.
  • Prior to production deployment to catch critical bugs that static analysis might miss.

Key capabilities

  • Performs deep static analysis of Python source files.
  • Identifies common coding errors, style violations, and security flaws.
  • Generates detailed diagnostic reports with specific file locations.
  • Provides context-aware suggestions for code refactoring and improvement.

Example prompts

  • "Scan this directory for any Python security vulnerabilities or deprecated function usage."
  • "Analyze the provided script for PEP 8 compliance and list all style violations found."
  • "Review the backend module for potential race conditions and memory leaks, then suggest fixes."

Tips & gotchas

Ensure your AI agent has read access to the target codebase or file paths before initiating a scan. While the tool excels at static analysis, it cannot detect runtime logic errors that only appear during execution; always pair this skill with live testing for critical systems.