sandbox

Execute and validate multi-language code snippets in a secure sandbox.

2|Updated Mar 17, 2026

Search Tags:#security #python #javascript #multi-language #ai-agent #sandbox #code-execution

Ready to run

npx skills add https://github.com/jeremylongshore/oss-agent-lab --skill sandbox-jeremylongshore

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sandbox
Source: https://github.com/jeremylongshore/oss-agent-lab/tree/main/agents/specialists/sandbox
Command: npx skills add https://github.com/jeremylongshore/oss-agent-lab --skill sandbox-jeremylongshore

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Safely execute code across multiple languages inside a container-backed sandbox, isolating runs and preventing side effects.

Core Features & Use Cases

Sandboxed execution across Python, JavaScript, TypeScript, Bash, Ruby, Go, Rust, Java, C, and C++ with memory and syscall isolation.
Static analysis and runtime discovery via validate_code and list_runtimes to pre-screen code and capabilities.
Unified output formatting returning stdout, stderr, exit_code, and execution_time for seamless integration with agents and workflows.

Quick Start

Invoke the sandbox to execute a code snippet and review the captured stdout, stderr, and exit code.

Frequently Asked Questions about sandbox

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

FAQPage Schema

How do I safely execute multi-language code snippets without side effects?▼

You can execute multi-language code snippets safely by running them inside a container-backed sandbox that isolates memory and syscalls to prevent side effects. This environment captures stdout, stderr, and exit codes for deterministic outputs.

What programming languages can I run in an isolated sandbox environment?▼

The isolated sandbox environment supports running and profiling code across Python, JavaScript, TypeScript, Bash, Ruby, Go, Rust, Java, C, and C++. It provides unified output formatting including execution time and exit codes.

How do I validate code and discover available runtimes before execution?▼

You can pre-screen code and discover capabilities by using static analysis and runtime discovery tools before execution. This validates the code and lists available runtimes to ensure compatibility before running.

Can AI agents capture structured execution results from a secure sandbox?▼

Yes, AI agents can capture structured execution results from a secure sandbox. The environment returns structured data including stdout, stderr, exit_code, execution_time, and an execution_id for seamless workflow integration.

What is the best way to integrate multi-language code execution into automated workflows?▼

The best way to integrate multi-language code execution into automated workflows is using a sandbox that provides unified output formatting. This returns structured stdout, stderr, and exit codes directly to agents for deterministic processing.