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Python Type Safety

Checked
wshobson·vlatest·backend·MIT

Enforces Python type hints during code generation, reducing errors and improving backend reliability.

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 wshobson/agents --skill python-type-safety -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

wshobson

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 wshobson/agents at 46891e7e60.

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

Scanned
2 files, 411 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

The python-type-safety skill enforces type safety in Python code by analyzing and validating variable types during runtime. It helps catch type-related errors early, ensuring that functions receive and return the correct data types, which improves code reliability and maintainability.

When to use it

  • When developing large-scale applications where type mismatches can cause subtle bugs.
  • During code reviews or refactoring to ensure consistency in variable usage across modules.
  • In collaborative environments where multiple developers contribute to the same codebase.
  • For projects that require strict adherence to type definitions, such as API development.

Key capabilities

  • Runtime type checking for function parameters and return values.
  • Integration with Python’s typing module for annotated type validation.
  • Automatic error reporting when type mismatches occur.
  • Compatibility with popular Python frameworks like Django and Flask.

Example prompts

  • "Check if the process_data function is receiving a string instead of an integer."
  • "Validate that all return values from the calculate_stats module are of type float."
  • "Enforce type safety for the User class in the authentication module."

Tips & gotchas

  • Ensure your codebase uses Python 3.5+ and includes type hints using the typing module.
  • While this skill improves reliability, it may add slight overhead during runtime execution.