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Basedpyright Type Checking

Checked
laurigates·vlatest·backend·MIT

This skill uses Basedpyright to automatically check Python code for type errors, boosting code quality and preventing runtime issues.

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 laurigates/claude-plugins --skill basedpyright-type-checking -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

laurigates

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 laurigates/claude-plugins at 45d1d7dcf6.

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

Commit
45d1d7dcf6
Manifest
python-plugin/skills/basedpyright-type-checking/SKILL.md
Scanned
2 files, 573 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 basedpyright-type-checking skill enables AI agents to run static type checking on Python code using the basedpyright engine. It provides immediate feedback on type errors, missing imports, and incorrect variable usage directly within your development workflow.

When to use it

  • Validate Python scripts before deployment to catch logic flaws early.
  • Enforce strict typing standards in team-based projects.
  • Debug complex data structures where runtime errors are difficult to reproduce.
  • Integrate type safety into CI/CD pipelines for automated quality assurance.

Key capabilities

  • Executes basedpyright analysis on provided or file-system Python code.
  • Identifies type mismatches, undefined variables, and import errors.
  • Reports specific line numbers and error messages for quick resolution.

Example prompts

  • "Run basedpyright on this function to check for type safety issues."
  • "Analyze the following Python script using basedpyright and list all errors found."
  • "Use basedpyright to verify if these imports are correctly typed in my project."

Tips & gotchas

Ensure your Python environment has basedpyright installed before requesting analysis. For large codebases, provide specific file paths or snippets to avoid overwhelming the agent with output.