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Ruff Linting

Checked
laurigates·vlatest·backend·MIT

Ruff Linting analyzes your code for style and potential errors, ensuring cleaner, more maintainable projects and preventing bugs early on.

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 ruff-linting -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/ruff-linting/SKILL.md
Scanned
2 files, 818 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 enables AI agents to perform static code analysis on Python projects using Ruff, a fast and reliable linter. It identifies syntax errors, style issues, and potential bugs to ensure code quality and consistency across your codebase.

When to use it

  • Before committing changes to enforce strict coding standards and prevent regressions.
  • During code reviews to automatically flag common mistakes like unused variables or incorrect imports.
  • When refactoring legacy codebases to modernize syntax and improve readability.
  • In CI/CD pipelines to block deployments that fail linting checks.

Key capabilities

  • Fast execution: Leverages Rust for near-instant analysis of large Python files.
  • Comprehensive rule sets: Supports hundreds of rules covering pycodestyle, pyflakes, and isort.
  • Fixable issues: Automatically corrects many common errors without manual intervention.
  • Configurable rules: Allows customization via configuration files to tailor strictness levels.

Example prompts

  • "Run a full linting check on my Python project and list all critical errors."
  • "Fix any style violations in the src/utils.py file using Ruff's auto-fix feature."
  • "Analyze this code snippet for security vulnerabilities and formatting issues."

Tips & gotchas

Ensure your project has a pyproject.toml or .ruff.toml configuration file to define custom rules if needed. Some complex logic errors may require manual review even after linting passes.