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Python Venv Manager

Listed
curiouslearner·vlatest·backend·MIT

Manages Python virtual environments, simplifying project dependencies and ensuring reproducible backends via automated creation and activation.

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 curiouslearner/devkit --skill python-venv-manager -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

curiouslearner

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 2 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 undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: install.python-poetry.org, pyenv.run.

    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.

    Hosts contacted

    install.python-poetry.orgundeclaredpyenv.runundeclared

    What it found

    • skills/python-venv-manager/SKILL.md:88contacts install.python-poetry.org
      curl -sSL https://install.python-poetry.org | python3 -
    • skills/python-venv-manager/SKILL.md:147contacts pyenv.run
      curl https://pyenv.run | bash
    • skills/python-venv-manager/SKILL.md:415contacts pyenv.run
      curl https://pyenv.run | bash

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 3 places.

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

    What it found

    • skills/python-venv-manager/SKILL.md:88remote script piped into an interpreter
      curl -sSL https://install.python-poetry.org | python3 -
    • skills/python-venv-manager/SKILL.md:147remote script piped into a shell
      curl https://pyenv.run | bash
    • skills/python-venv-manager/SKILL.md:415remote script piped into a shell
      curl https://pyenv.run | bash

  • 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 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 curiouslearner/devkit at 3fa45b7ab3.

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

Commit
3fa45b7ab3
Manifest
skills/python-venv-manager/SKILL.md
Scanned
1 file, 948 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, curiouslearner-python-venv-manager, simplifies Python virtual environment management within AI agent workflows. It allows agents to create, activate, and deactivate virtual environments, ensuring project dependencies are isolated and reproducible. The skill streamlines the process of setting up development environments for Python projects directly from within an AI agent's actions.

When to use it

  • Project Setup: Automatically create a new virtual environment when starting a new Python project.
  • Dependency Management: Install specific packages into a virtual environment before running code that requires them.
  • Environment Switching: Easily switch between different virtual environments for various projects or tasks.
  • Clean Development: Deactivate the current virtual environment after completing a task to maintain a clean workspace.

Key capabilities

  • Create new Python virtual environments.
  • Activate existing virtual environments.
  • Deactivate the currently active virtual environment.

Example prompts

  • "Create a virtual environment named 'my_project'."
  • "Activate the virtual environment called 'data_analysis'."
  • "Deactivate the current virtual environment."

Tips & gotchas

  • The agent needs Python installed to utilize this skill effectively.
  • Ensure the virtual environment name is valid and doesn't conflict with existing environments.