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Python

Checked
alinaqi·vlatest·backend·MIT

Generates, debugs, and explains Python code snippets to automate backend tasks and solve programming challenges.

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 alinaqi/maggy --skill python -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

alinaqi

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 alinaqi/maggy at 72a456e6cc.

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

Commit
72a456e6cc
Manifest
skills/python/SKILL.md
Scanned
1 file, 203 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

Python (by alinaqi)

What it does

This skill enables AI agents to execute Python code directly within the backend environment, allowing for dynamic data processing and computation. It serves as a powerful tool for transforming raw inputs into structured results through custom logic.

When to use it

  • Performing complex mathematical calculations or statistical analysis on datasets.
  • Generating formatted text, reports, or JSON structures programmatically.
  • Processing file contents (e.g., CSVs, logs) before returning them to the user.
  • Running quick scripts to validate logic or transform data formats without external dependencies.

Key capabilities

  • Full Python execution environment for backend tasks.
  • Direct code generation and runtime evaluation by the AI agent.
  • Support for standard libraries for data manipulation and formatting.

Example prompts

  • "Write a Python script to calculate the average of these numbers: [list]"
  • "Generate a JSON object containing user details based on this input text."
  • "Process this CSV data snippet and return a summary table in Markdown."

Tips & gotchas

Ensure you provide clear input data when requesting code execution, as the agent relies on available context to run scripts effectively. This skill is designed for backend processing; avoid using it for tasks requiring graphical interfaces or persistent file system access outside the session scope.