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Python Venv Management

Checked
findinfinitelabs·vlatest·backend·MIT

Helps with Python, management as part of developing backend services and APIs 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 findinfinitelabs/chuuk --skill python-venv-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

findinfinitelabs

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 findinfinitelabs/chuuk at f865be4359.

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

Commit
f865be4359
Manifest
.claude/skills/python-venv-management/SKILL.md
Scanned
1 file, 337 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 create, activate, and manage Python virtual environments. It simplifies dependency management for projects by isolating them from the global Python installation. The agent can handle creating new environments, installing packages within those environments, and ensuring the correct environment is activated before running scripts.

When to use it

  • Project Setup: When starting a new Python project that requires specific dependencies.
  • Dependency Isolation: To avoid conflicts between different projects needing varying package versions.
  • Reproducible Environments: To ensure consistent execution across different machines by defining and managing environment requirements.
  • Package Installation: When you need to install or update packages for a particular Python project.

Key capabilities

  • Create new virtual environments.
  • Activate existing virtual environments.
  • Install packages into a virtual environment.
  • Manage dependencies within an environment.

Example prompts

  • "Create a virtual environment named 'my_project'."
  • "Activate the virtual environment called 'data_analysis'."
  • "Install pandas and numpy in my current virtual environment."
  • "What packages are installed in the 'web_app' environment?"

Tips & gotchas

The agent requires Python to be installed on the system. Ensure that the python or python3 executable is accessible in the shell environment for proper operation.