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Python Guide

Checked
ar4mirez·vlatest·backend·MIT

Generates Python code snippets and explains them, assisting developers in solving backend programming challenges quickly.

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 ar4mirez/samuel --skill python-guide -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

ar4mirez

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 ar4mirez/samuel at 571d3d1834.

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

Scanned
4 files, 924 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 allows AI agents to execute Python code snippets. It can be used to perform calculations, manipulate data, and interact with external APIs through Python libraries. The agent will receive the input as a string of python code and return the output of that code execution.

When to use it

  • Data Transformation: When you need an AI agent to clean, transform, or analyze structured data (e.g., CSV files).
  • Simple Calculations: For performing mathematical operations or unit conversions that are beyond basic arithmetic.
  • API Interaction: To fetch and process data from web APIs using Python's requests library (or similar).
  • Code Generation/Evaluation: When you need to generate, test, or evaluate small code snippets.

Key capabilities

  • Executes Python code.
  • Returns the output of the executed code.
  • Supports basic data manipulation.
  • Can interact with external APIs (with appropriate libraries).

Example prompts

  • "Calculate the factorial of 10."
  • "Fetch the current weather in London using a suitable API and return the temperature."
  • "Convert this CSV string to JSON: 'Name,Age\nAlice,30\nBob,25'"

Tips & gotchas

  • The skill's effectiveness depends on the agent’s ability to construct valid Python code. Complex tasks may require breaking them down into smaller steps.
  • Be mindful of potential security risks when executing arbitrary code; ensure appropriate sandboxing and input validation are in place.