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Python Env

Listed
neversight·vlatest·backend

Automates Python environment setup and dependency management within a project using pre-defined configurations.

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 neversight/learn-skills.dev --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

neversight

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 3 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: astral.sh, 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.orgundeclaredastral.shundeclaredpyenv.runundeclared

    What it found

    • data/skills-md/1mangesh1/dev-skills-collection/python-env/SKILL.md:64contacts install.python-poetry.org
      curl -sSL https://install.python-poetry.org | python3 -
    • data/skills-md/1mangesh1/dev-skills-collection/python-env/SKILL.md:134contacts astral.sh
      curl -LsSf https://astral.sh/uv/install.sh | sh
    • data/skills-md/1mangesh1/dev-skills-collection/python-env/SKILL.md:164contacts pyenv.run
      curl https://pyenv.run | bash

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 4 places.

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

    What it found (3 of 4)

    • data/skills-md/1mangesh1/dev-skills-collection/python-env/SKILL.md:64remote script piped into an interpreter
      curl -sSL https://install.python-poetry.org | python3 -
    • data/skills-md/1mangesh1/dev-skills-collection/python-env/SKILL.md:134remote script piped into a shell
      curl -LsSf https://astral.sh/uv/install.sh | sh
    • data/skills-md/1mangesh1/dev-skills-collection/python-env/SKILL.md:164remote 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 neversight/skills_feed at 58220bbac4.

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

Commit
58220bbac4
Manifest
data/skills-md/0xdarkmatter/claude-mods/python-env/SKILL.md
Scanned
26 files, 366 lines
Copies in repo
2 — all of them scanned
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 provides a Python virtual environment management capability. It allows agents to create, activate, and deactivate isolated Python environments, ensuring project dependencies are managed effectively and preventing conflicts between different projects. The skill simplifies the process of setting up and maintaining clean development environments for AI agent tasks.

When to use it

  • Managing Project Dependencies: When an AI agent needs to work with specific versions of Python packages that might conflict with other projects.
  • Reproducible Environments: To guarantee consistent results across different runs or machines by ensuring the same package versions are used.
  • Testing Different Package Versions: When evaluating how changes in a library affect your agent's performance, allowing for easy switching between environments.
  • Developing Agent Components: When building and testing individual components of an AI agent that rely on specific Python libraries.

Key capabilities

  • Create virtual environments
  • Activate virtual environments
  • Deactivate virtual environments

Example prompts

  • "Create a new virtual environment named 'my_agent_env'."
  • "Activate the virtual environment called 'data_processing'."
  • “Deactivate the current Python environment.”

Tips & gotchas

The skill requires a working Python installation to function correctly. Ensure that Python is available in the agent's execution environment before attempting to use this skill.