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Python Code Reviewer

Checked
yennanliu·vlatest·backend

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 yennanliu/ai_experiment --skill python-code-reviewer -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

yennanliu

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 yennanliu/ai_experiment at 7b2f11138c.

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

Commit
7b2f11138c
Manifest
claude_code/skills_poc/.claude/skills/python-code-reviewer/SKILL.md
Scanned
1 file, 117 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 python-code-reviewer skill analyzes Python code and provides feedback on potential improvements. It identifies stylistic issues, suggests bug fixes based on common patterns, and offers recommendations for enhanced readability and maintainability. This helps developers write cleaner and more robust Python code.

When to use it

  • Code Review Assistance: Use this when you need a quick automated check of your Python code before submitting a pull request.
  • Learning Best Practices: New Python programmers can leverage the skill to learn about common coding conventions and best practices.
  • Refactoring Existing Code: Identify areas in legacy code that could benefit from stylistic or functional improvements.
  • Automated Linting: Integrate into CI/CD pipelines for automated code quality checks.

Key capabilities

  • Identifies stylistic issues (e.g., PEP 8 violations)
  • Suggests bug fixes based on common patterns
  • Provides recommendations for improved readability
  • Offers suggestions for enhanced maintainability

Example prompts

  • "Review this Python code and suggest improvements: [paste code here]"
  • "Can you check this function for potential bugs? [paste code here]"
  • "What are the stylistic issues in this Python script? [paste code here]"

Tips & gotchas

The skill's effectiveness is dependent on the quality of the input code. While it can identify many common issues, complex or highly specialized code may require more nuanced human review.