monty: Skill for Claude Code

.agents/skills/python-playground/SKILL.md

python-playground is a skill for Claude Code, Codex from pydantic/monty. It costs 44 tokens per session (378 once invoked), scanned A, original, MIT.

An isolated workspace for running and testing Python code without affecting the main project. It uses a dedicated playground directory and supports running scripts with uv or Monty.

In plain words
What is it for?
Use it to run Python scripts, test code snippets, investigate CPython behavior, or compare Python execution with Monty.
Why use it?
It provides a safer place to experiment with Python behavior, investigate errors, and test small examples before changing project code.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is pydantic/monty's own configuration. It tells Claude Code and Codex how to work on monty itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything monty configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is uv run playground/test.py.

About the project

Monty is a minimal Python interpreter written in Rust that runs AI-generated code in a restricted environment without direct filesystem, environment-variable, or network access. It is for AI agents that need to execute Python and type-checking tasks while allowing developers to control which host functions and objects the code can use, and the catalogue entries integrate it into agent workflows.

pydantic/monty · 8,801 stars · on GitHub · pydantic.dev

Reuse

Borrowing it

Nothing to install: this file belongs to pydantic/monty. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/pydantic/monty/main/.agents/skills/python-playground/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/pydantic/monty

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for python-playground

README.md
[![agentmods](https://agentmods.dev/badge/skills/pydantic/monty/python-playground/github.svg)](https://agentmods.dev/skills/pydantic/monty/python-playground)
Your own site
<a href="https://agentmods.dev/skills/pydantic/monty/python-playground"><img src="https://agentmods.dev/badge/skills/pydantic/monty/python-playground/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for python-playground

Your own site · 80×15
<a href="https://agentmods.dev/skills/pydantic/monty/python-playground"><img src="https://agentmods.dev/badge/skills/pydantic/monty/python-playground.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 378 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.00378
Opus 5.5 $0.00018 $0.00151
Sonnet 5.5 $0.00009 $0.00076
Haiku 4.5 $0.00004 $0.00038

Measured 1mo ago against content hash d9b93016d195, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

python-playground scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/python-playground/SKILL.md · 51 lines

What it actually says

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):

mkdir playground

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

def foo():
    raise ValueError('test')

foo()

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

uv 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
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed d9b93016d195
  2. 2mo ago First seen · 51 lines · 44 tokens per session scan A 543d16ac8f2a

Subscribe to this mod's changes

python-playground is a skill published in the GitHub repository pydantic/monty (8,801 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 378 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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