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Setting Up Python Libraries

Checked
wdm0006·vlatest·backend·MIT

Automatically installs and configures necessary Python libraries based on project requirements, streamlining backend development.

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 wdm0006/python-skills --skill setting-up-python-libraries -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

wdm0006

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

    Only contacts known or declared hosts: github.com.

    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

    github.comsource host

  • 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 wdm0006/python-skills at 954796b7fc.

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

Commit
954796b7fc
Manifest
skills/python/project-setup/SKILL.md
Scanned
5 files, 929 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 an AI agent to install Python libraries using pip. It can handle specifying library names, versions, and installation locations. The agent can also resolve dependencies automatically during the installation process, ensuring all required packages are present.

When to use it

  • Data analysis project: Install necessary data science libraries like pandas, numpy, or matplotlib for a new project.
  • Web development task: Set up web frameworks such as Flask or Django with their associated dependencies.
  • Machine learning model training: Install TensorFlow, PyTorch, or scikit-learn to build and train machine learning models.
  • Automated environment setup: Create reproducible Python environments for consistent project execution across different machines.

Key capabilities

  • Install specific Python packages by name.
  • Specify package versions during installation.
  • Resolve dependencies automatically.

Example prompts

  • "Install the 'requests' library."
  • "Please install version 2.7 of the 'numpy' package."
  • “Set up a virtual environment and then install pandas.”

Tips & gotchas

The agent requires access to a Python interpreter and pip to function correctly. Ensure that the necessary permissions are granted for installing packages in the desired location.