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Uv Python Version Management

Listed
dawiddutoit·vlatest·backend

Helps with Python, management as part of developing backend services and APIs workflows.

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 dawiddutoit/custom-claude --skill uv-python-version-management -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

dawiddutoit

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

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

    What it found

    • skills/uv-python-version-management/SKILL.md:285tells the user to run: remote script piped into a shell(in the instructions, not code)
      - **uv installed** (install: `curl -LsSf https://astral.sh/uv/install.sh | sh`)
  • 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.

  • Pinned to a commit: passed

    Scanned dawiddutoit/custom-claude at 17b45a90a6.

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

Scanned
1 file, 248 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 allows AI agents to manage multiple Python versions using uv. It can create, list, and switch between different Python environments based on project requirements. This ensures that projects utilize the correct Python version without conflicts or compatibility issues.

When to use it

  • Project Setup: When starting a new Python project requiring a specific Python version (e.g., Python 3.8 for legacy code).
  • Dependency Management: To isolate dependencies for different projects, preventing clashes between package versions.
  • Environment Switching: Quickly switch the active Python environment when working on multiple projects with varying requirements.
  • Reproducibility: Guarantee consistent project execution by ensuring a specific Python version is always used.

Key capabilities

  • Creates new Python environments using uv.
  • Lists available Python versions and environments.
  • Switches the active Python environment.

Example prompts

  • "Create a new Python 3.9 environment named 'my_project'."
  • "List all available Python environments."
  • "Switch to the 'my_project' environment."

Tips & gotchas

  • Requires uv to be installed on the system where the AI agent is running. Ensure it’s accessible in the agent’s execution context.