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Python Type System

Checked
thebushidocollective·vlatest·backend

Analyzes Python code to identify variable types, potential errors, and suggest improvements for robust backend development.

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 thebushidocollective/han --skill python-type-system -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

thebushidocollective

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 thebushidocollective/han at 19caa51d5f.

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

Commit
19caa51d5f
Manifest
plugins/languages/python/skills/python-type-system/SKILL.md
Scanned
1 file, 584 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 understanding and application of Python's type system. It enables agents to reason about data types, enforce type safety in code, and generate more robust and maintainable Python programs by leveraging features like type hints and static analysis tools. The skill allows for improved error detection during development and clearer documentation of expected input/output types.

When to use it

  • Code Generation: When generating Python code that requires specific data types or adheres to strict coding standards.
  • Debugging & Error Analysis: To understand type-related errors in existing Python code and suggest corrections.
  • Refactoring: When refactoring Python codebases, ensuring type safety during the process.
  • Documentation: Generating documentation that accurately describes the expected types of function arguments and return values.

Key capabilities

  • Type Hinting: Understanding and applying type hints to variables, functions, and classes.
  • Static Analysis: Utilizing static analysis tools (e.g., MyPy) for type checking.
  • Data Type Reasoning: Inferring data types based on context and operations.
  • Error Detection: Identifying potential type errors during development.

Example prompts

  • "Add type hints to this Python function: def calculate_average(numbers): sum(numbers) / len(numbers)"
  • "Explain the difference between List[int] and Tuple[str, int] in Python."
  • “Run MyPy on this code snippet and report any type errors.”

Tips & gotchas

  • Requires a working knowledge of basic Python syntax.
  • The effectiveness depends on the quality and clarity of existing code or specifications.