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Python Venv Manager

Checked
jorgealves·vlatest·backend·GPL-3.0

Automates Python virtual environment creation, activation, and management within projects for streamlined development workflows.

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 jorgealves/agent_skills --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

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.

Commit
85014ad37d
Manifest
python-venv-manager/SKILL.md
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-venv-manager skill enables AI agents to programmatically create, activate, and manage isolated Python virtual environments. It handles dependency installation and environment cleanup to ensure reproducible development setups without system-wide conflicts.

When to use it

  • Isolating dependencies for specific project versions to prevent package collisions.
  • Setting up clean, disposable environments for testing new libraries or frameworks.
  • Managing multiple concurrent Python projects on a single machine with distinct requirements.
  • Automating the teardown of temporary environments after agent execution completes.

Key capabilities

  • Creation and activation of isolated Python virtual environments.
  • Installation of specific Python packages within those environments.
  • Automatic cleanup and removal of unused virtual environments.
  • Verification of environment status and package availability.

Example prompts

  • "Create a new virtual environment named 'data-processor' and install pandas, numpy, and scikit-learn."
  • "Set up an isolated environment for testing the latest version of FastAPI and verify it runs correctly."
  • "List all currently active Python environments and remove any that haven't been used in the last 24 hours."

Tips & gotchas

Ensure the underlying system has Python installed before invoking this skill, as the manager relies on the base interpreter to spawn virtual environments. While the skill automates setup, manually reviewing dependency versions is recommended for production-grade stability.