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Python Programming

Checked
pluginagentmarketplace·vlatest·backend

Enables Python code execution within plugins via a secure marketplace, extending agent capabilities and functionality.

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 pluginagentmarketplace/custom-plugin-ai-data-scientist --skill python-programming -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

pluginagentmarketplace

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 pluginagentmarketplace/custom-plugin-ai-data-scientist at eedea7234d.

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

Scanned
4 files, 822 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 AI agents to write, debug, and execute Python code. It can generate scripts for data analysis, automate tasks through scripting, and create simple applications based on user instructions. The agent can also handle common programming errors and provide explanations of the generated code.

When to use it

  • Data Analysis: When you need to quickly analyze a dataset or perform calculations that are difficult to do manually.
  • Automation: To automate repetitive tasks, such as file management or web scraping.
  • Script Generation: For creating simple Python scripts based on natural language descriptions of the desired functionality.
  • Debugging Assistance: When you have existing Python code with errors and need help identifying and fixing them.

Key capabilities

  • Code generation
  • Code debugging
  • Code execution
  • Error handling
  • Explanation of generated code

Example prompts

  • "Write a Python script to calculate the average of a list of numbers."
  • "Debug this Python code: [insert code here]"
  • "Create a simple Python program that prints 'Hello, world!'"
  • “Generate python code for web scraping”

Tips & gotchas

The agent's effectiveness depends on clear and specific instructions. Providing context or example data can improve the quality of generated code.