monty-skill

Execute Python code in a hardened sandbox with enforced time and memory limits.

356|66|Updated Oct 13, 2025
One-click install
npx skills add https://github.com/zeenie-ai/OpenCompany --skill monty-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: monty-skill
Source: https://github.com/zeenie-ai/OpenCompany/tree/main/server/skills/coding_agent/monty-skill
Command: npx skills add https://github.com/zeenie-ai/OpenCompany --skill monty-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill lets you execute AI-generated Python without giving it unrestricted access to your machine, making it safer to run code that may be untrusted or experimental.

Core Features & Use Cases

  • Hard sandboxing: Runs Python in a deny-by-default environment with enforced time and memory limits.
  • Controlled capabilities: Optionally grant minimal host access such as HTTP fetches or workspace file access when needed.
  • Deterministic execution: Useful for short analytical scripts, safe calculations, and processing upstream workflow data without full interpreter access.
  • Use Case: Analyze a set of upstream node results, compute a summary, and return a structured output while keeping the code isolated from the host system.

Quick Start

Use the monty skill to run this Python snippet in a sandbox and return the result as structured output.

Frequently Asked Questions about monty-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run untrusted Python code safely without giving it access to my host system?

To run untrusted Python code safely, you execute it in a hardened sandbox with deny-by-default host access, enforced time limits, and memory limits. This isolates the code so it cannot access your machine unless you explicitly grant capabilities.

What is a deny-by-default sandbox for executing Python scripts?

A deny-by-default sandbox is an isolated execution environment that blocks filesystem and network access by default. It restricts Python execution to a bounded environment, only allowing host access when you explicitly opt in to specific capabilities.

Can I grant filesystem or network access to a Python script running in a sandbox?

Yes, you can grant filesystem or network access to a sandboxed Python script through explicit opt-in capabilities. This allows you to provide minimal host access, such as HTTP fetches or workspace file access, only when required for the workflow.

How do I enforce execution time and memory limits on untrusted Python code?

You enforce time and memory limits on untrusted Python code by running it within a hardened sandbox environment. This prevents runaway scripts from consuming excessive resources and ensures safe, deterministic computation for bounded automation.

What are the limitations of using a restricted Python subset for controlled execution?

Using a restricted Python subset limits the available language features and built-in functions to ensure controlled execution. This means certain advanced Python operations may be unavailable to maintain the security and isolation of the sandbox environment.