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Py Complexity

Checked
l-mb·vlatest·backend·MIT

Analyzes Python code for cyclomatic complexity, highlighting potential issues and improving maintainability.

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 l-mb/python-refactoring-skills --skill py-complexity -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

l-mb

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

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned l-mb/python-refactoring-skills at b08357109f.

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

Commit
b08357109f
Manifest
skills/py-complexity/SKILL.md
Scanned
1 file, 223 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 analyzes Python code to determine its cyclomatic complexity. It provides a numerical score representing the potential difficulty of testing and maintaining the code, highlighting areas that may benefit from refactoring. The tool helps developers understand code structure and identify complex functions or modules.

When to use it

  • Code Review: Quickly assess the complexity of new code submissions during peer reviews.
  • Refactoring Planning: Identify which parts of a codebase are most ripe for simplification and improvement.
  • Testability Assessment: Gauge how difficult it will be to write comprehensive unit tests for specific functions or modules.
  • Onboarding New Developers: Help new team members understand the structure and potential pitfalls within an existing project.

Key capabilities

  • Calculates cyclomatic complexity score.
  • Identifies complex code sections.
  • Provides insights into code maintainability.

Example prompts

  • "Analyze the complexity of this Python function: [code snippet]"
  • "What's the cyclomatic complexity of my_module.py?"
  • "Show me the most complex functions in my project."

Tips & gotchas

  • The skill requires a valid Python environment to execute. Ensure necessary dependencies are installed before use.