python-playground — community python-playground, monty, pydantic, community, ai agent skill, ide skills, agent automation, AI agent skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Python Analysis Agents needing secure and isolated Python code execution for testing and experimentation. A minimal, secure Python interpreter written in Rust for use by AI

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

Quality Score

Top 5%
62
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
> npx killer-skills add pydantic/monty/python-playground
Supports 19+ Platforms
Cursor
Windsurf
VS Code
Trae
Claude
OpenClaw
+12 more

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.

Ideal Agent Persona

Perfect for Python Analysis Agents needing secure and isolated Python code execution for testing and experimentation.

Core Value

Empowers agents to run Python code in a secure, isolated environment using a minimal Python interpreter written in Rust, supporting both cpython and monty behaviors through uv and cargo run commands, and utilizing the Write tool for creating files without permission prompts.

Capabilities Granted for python-playground

Testing Python code snippets in an isolated environment
Debugging Python scripts using the uv and cargo run commands
Experimenting with different Python behaviors using cpython and monty

! Prerequisites & Limits

  • Requires a playground directory
  • Limited to Python code execution
  • Must use separate tool calls for each step
  • Files in the playground directory are gitignored
Project
SKILL.md
1.4 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

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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 secure and isolated Python code execution for testing and experimentation. A minimal, secure Python interpreter written in Rust for use by AI

How do I install python-playground?

Run the command: npx killer-skills add pydantic/monty/python-playground. 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 code snippets in an isolated environment, Debugging Python scripts using the uv and cargo run commands, Experimenting with different Python behaviors using cpython and monty.

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 a playground directory. Limited to Python code execution. Must use separate tool calls for each step. Files in the playground directory are gitignored.

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/python-playground. 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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