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Python Best Practices

Checked
brite-nites·vlatest·backend

Helps with Python, best practices as part of developing backend services and APIs workflows.

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 brite-nites/brite-claude-plugins --skill python-best-practices -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

brite-nites

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 brite-nites/britenites-claude-plugins at fb1da06c47.

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

Commit
fb1da06c47
Manifest
plugins/workflows/skills/python-best-practices/SKILL.md
Scanned
2 files, 1,692 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 provides guidance and code suggestions based on Python best practices. It helps ensure clean, readable, and maintainable Python code by applying principles of style, efficiency, and error handling. The skill aims to improve the quality of generated Python code for various backend tasks.

When to use it

  • Refactoring existing Python code to adhere to PEP 8 standards.
  • Generating new Python functions or classes with a focus on readability.
  • Identifying potential performance bottlenecks in Python scripts and suggesting optimizations.
  • Ensuring proper error handling and exception management within Python applications.

Key capabilities

  • PEP 8 compliance checking
  • Code style suggestions
  • Performance optimization recommendations
  • Error handling guidance

Example prompts

  • "Refactor this Python function to follow PEP 8 guidelines: [code snippet]"
  • "Generate a Python class for managing user authentication, adhering to best practices."
  • "Suggest ways to optimize the performance of this Python script: [code snippet]"

Tips & gotchas

The skill is most effective when provided with specific code snippets or clear descriptions of desired functionality. While it can improve existing code, understanding basic Python syntax and concepts is still required for optimal results.