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Python Type Hints Converter

Checked
jorgealves·vlatest·backend·GPL-3.0

Converts Python code's type hints into a standardized format for improved documentation and static analysis.

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 jorgealves/agent_skills --skill python-type-hints-converter -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

jorgealves

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 jorgealves/agent_skills at 85014ad37d.

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

Scanned
2 files, 50 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

The python-type-hints-converter skill automatically adds type annotations to Python code, enhancing readability and enabling static analysis tools to catch errors before runtime. It transforms untyped scripts into robust, maintainable modules that align with modern Python best practices.

When to use it

  • Refactoring legacy Python codebases lacking type definitions to improve long-term maintainability.
  • Preparing code for deployment in environments requiring strict type checking or IDE support.
  • Generating documentation-ready code where explicit types clarify function inputs and outputs.
  • Integrating with linters like mypy or formatters that rely on accurate type information.

Key capabilities

  • Detects untyped functions, classes, and variables within Python source files.
  • Infers appropriate type hints based on usage patterns and standard library conventions.
  • Outputs fully annotated code ready for integration into existing projects.

Example prompts

  • "Convert this untyped Python function to include proper type hints."
  • "Add type annotations to all methods in this class definition."
  • "Generate a version of this script with full type checking support using modern Python syntax."

Tips & gotchas

Ensure your Python environment supports the target version’s typing features (e.g., typing module for older versions). The tool may infer less precise types if the code logic is ambiguous or overly dynamic.