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Python Reviewer

Listed
physics91·vlatest·backend

Analyzes Python code for style, errors, and potential performance improvements using physics91's custom ruleset.

Install on your platform

This skill no longer installs under the name python-reviewer. physics91/claude-vibe is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

physics91

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.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. repository not found or private Source recorded as physics91/claude-vibe.
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-reviewer skill analyzes Python code and provides feedback on style, potential errors, and adherence to best practices. It can identify common coding mistakes, suggest improvements for readability, and help ensure the code meets specific quality standards. This skill leverages static analysis tools to automate parts of the code review process.

When to use it

  • Code Quality Assurance: Before merging a pull request or deploying new code, run python-reviewer to catch potential issues early.
  • Learning and Mentorship: New developers can use this skill to understand coding conventions and improve their skills through automated feedback.
  • Automated Linting: Integrate the skill into CI/CD pipelines for continuous code quality checks.
  • Refactoring Assistance: Use it to identify areas in existing code that could benefit from refactoring or optimization.

Key capabilities

  • Static code analysis
  • Style checking (likely based on PEP 8)
  • Error detection
  • Code improvement suggestions

Example prompts

  • "Review this Python script for style and potential errors: [paste code here]"
  • "Can you analyze this function and suggest improvements? [paste function definition]"
  • “Check the following code against PEP 8 guidelines: [paste code here]”

Tips & gotchas

The skill's effectiveness depends on the quality of the underlying static analysis tools. Ensure your Python environment is properly configured to allow for accurate analysis.