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Python Config Manager

Checked
jorgealves·vlatest·backend·GPL-3.0

Automates Python environment configuration, dependency management, and project setup via scripts and version control.

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-config-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-config-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

What it does

The python-config-manager skill enables AI agents to programmatically manage Python package environments. It allows for the discovery, installation, and configuration of specific Python libraries directly within an agent's execution context.

When to use it

  • Setting up a fresh development environment with required dependencies before running a script.
  • Installing specific versions of a library to ensure reproducible builds across different agents.
  • Adding missing packages when an agent encounters an ImportError during task execution.
  • Preparing a sandboxed environment for testing code snippets that rely on external tools like requests or pandas.

Key capabilities

  • Package Discovery: Identifies available Python libraries and their metadata.
  • Installation: Installs specific packages or versions into the current environment.
  • Environment Management: Configures the runtime context to include newly installed dependencies.

Example prompts

  • "Install beautifulsoup4 version 4.12.0 so I can parse HTML in my next script."
  • "Check if numpy is available; if not, install it and confirm the installation."
  • "Set up a Python environment with scikit-learn for me to run a machine learning model."

Tips & gotchas

Ensure you have write permissions to the target directory where packages will be installed. If an agent fails to import a module, explicitly request the skill to install that specific package before retrying the code execution.