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Python Anti Patterns

Checked
julianobarbosa·vlatest·backend·MIT

Helps with Python, patterns 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 julianobarbosa/claude-code-skills --skill python-anti-patterns -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

julianobarbosa

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 julianobarbosa/claude-code-skills at 57f5fe8c0d.

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

Commit
57f5fe8c0d
Manifest
skills/python-anti-patterns/SKILL.md
Scanned
1 file, 308 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 helps identify and refactor common Python anti-patterns in code. It aims to improve code readability, maintainability, and performance by recognizing problematic patterns like "magic numbers," deeply nested loops, and inefficient data structures. The skill provides suggestions for cleaner, more Pythonic alternatives.

When to use it

  • Code Review: Use this skill when reviewing existing Python codebases to proactively identify potential issues.
  • Refactoring Legacy Code: Apply the skill during refactoring efforts to modernize older code and improve its structure.
  • Learning Best Practices: Utilize the skill as a learning tool to understand common pitfalls in Python development.
  • Improving Performance: Identify inefficient patterns that may be impacting application performance.

Key capabilities

  • Identifies "magic numbers" and suggests named constants.
  • Recognizes deeply nested loops and proposes flattening or alternative approaches.
  • Flags inefficient data structures and recommends more suitable alternatives.
  • Provides suggestions for Pythonic code improvements.

Example prompts

  • “Analyze this Python code snippet for anti-patterns and suggest improvements: [code snippet]”
  • "Refactor this function to avoid deeply nested loops: [function definition]"
  • "Identify any magic numbers in this file and recommend replacements with named constants: [file content]"

Tips & gotchas

The skill is most effective when provided with complete code snippets or functions. While it can identify patterns, understanding the context of the code is crucial for implementing suggested changes effectively.