python-playground — for Claude Code python-playground, community, for Claude Code, ide skills, Python interpreter, Rust-based security, isolated testing environment, uv run execution, cargo run testing, Claude Code, Cursor

v1.0.0
GitHub

About this Skill

Perfect for Python Analysis Agents needing a secure environment for testing and experimenting with Python code. python-playground is a minimal, secure Python interpreter written in Rust for use by AI agents, allowing for isolated testing and experimentation.

Features

Run Python code using uv run
Test Monty behavior with cargo run
Create files using the Write tool
Use a gitignored playground directory

# Core Topics

pydantic pydantic
[6.2k]
[249]
Updated: 3/13/2026

Agent Capability Analysis

The python-playground skill by pydantic is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for for Claude Code, Python interpreter, Rust-based security.

Ideal Agent Persona

Perfect for Python Analysis Agents needing a secure environment for testing and experimenting with Python code.

Core Value

Empowers agents to run and test Python code in an isolated playground directory, utilizing tools like uv and cargo for cpython and monty behavior testing, while ensuring secure execution through separate tool calls and avoiding command chaining with && or heredocs.

Capabilities Granted for python-playground

Testing Python scripts in a sandboxed environment
Debugging cpython behavior with uv
Experimenting with monty behavior using cargo

! Prerequisites & Limits

  • Requires separate tool calls for each step
  • No command chaining with && or heredocs allowed
  • Playground directory must exist and be accessible
Labs Demo

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python-playground

Unlock efficient Python testing with the python-playground AI agent skill, designed for developers to run code in a secure, isolated environment with Claude...

SKILL.md
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Python Playground

Run Python code in an isolated playground directory for testing and experimentation.

Instructions

  1. First, ensure the playground directory exists. If the playground directory doesn't already exist, run mkdir playground.
  2. Use the Write tool to create the Python file at playground/test.py
  3. Run with: uv run playground/test.py to test cpython behavior or cargo run -- playground/test.py to test monty behavior

IMPORTANT: Use separate tool calls for each step - do NOT chain commands with &&. This allows the pre-approved commands to work without prompting.

Example workflow

Step 1 - Create directory if it doesn't already exist (Bash, already allowed):

bash
1mkdir playground

Step 2 - Write code (use Write tool, not cat): Write to playground/test.py:

python
1def foo(): 2 raise ValueError('test') 3 4foo()

Step 3 - Run script (Bash, already allowed):

bash
1uv run playground/test.py

Guidelines

  • The playground/ directory is gitignored
  • Use a different file name for each test you want to run, give the files recognizable names like test_value_error.py
  • Use uv run ... to run scripts (uses project Python)
  • Or, cargo run -- ... to run scripts using Monty
  • Use Write tool for creating files (avoids permission prompts)
  • Run mkdir and uv as separate commands (not chained)
  • do NOT delete files from playground after you've finished testing

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is python-playground?

Perfect for Python Analysis Agents needing a secure environment for testing and experimenting with Python code. python-playground is a minimal, secure Python interpreter written in Rust for use by AI agents, allowing for isolated testing and experimentation.

How do I install python-playground?

Run the command: npx killer-skills add pydantic/monty. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for python-playground?

Key use cases include: Testing Python scripts in a sandboxed environment, Debugging cpython behavior with uv, Experimenting with monty behavior using cargo.

Which IDEs are compatible with python-playground?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for python-playground?

Requires separate tool calls for each step. No command chaining with && or heredocs allowed. Playground directory must exist and be accessible.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add pydantic/monty. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use python-playground immediately in the current project.

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