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Python Env

Listed
0xdarkmatter·vlatest·backend·MIT

Automates Python environment setup and dependency management within your backend projects using virtual environments.

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 0xdarkmatter/claude-mods --skill python-env -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

0xdarkmatter

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/python-env/SKILL.md:5tells the user to run: remote script piped into a shell(in the instructions, not code)
      compatibility: "Requires uv CLI tool. 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 0xdarkmatter/claude-mods at a339d71272.

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

Commit
a339d71272
Manifest
skills/python-env/SKILL.md
Scanned
4 files, 978 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

The python-env skill allows AI agents to create and manage Python virtual environments. It can install packages using pip, execute Python code within those environments, and activate/deactivate them as needed. This ensures project dependencies are isolated and reproducible.

When to use it

  • Managing Project Dependencies: You need a clean environment for a specific Python project with its own set of required libraries.
  • Reproducible Builds: Ensure consistent results by isolating the Python runtime and package versions used in your builds or experiments.
  • Testing Different Versions: You want to test code against different versions of Python packages without affecting other projects.
  • Running Isolated Scripts: Execute a Python script with specific dependencies that shouldn't interfere with the agent’s global environment.

Key capabilities

  • Create virtual environments
  • Activate and deactivate environments
  • Install Python packages using pip
  • Execute Python code within an active environment

Example prompts

  • "Create a new virtual environment named 'my_project'."
  • "Install the requests library in the 'my_project' environment."
  • “Run this python script inside the ‘data_analysis’ environment: print('Hello world')”

Tips & gotchas

  • The agent needs access to Python and pip to use this skill effectively.
  • Be mindful of environment names; conflicts can arise if environments share the same name.