disler/agent-sandbox-skill

Registry

Summary

A Claude Skill for managing isolated execution environments, enabling secure and controlled code execution within agent workflows.

Key features

• Isolated execution environments
• Secure code execution
• Python-based implementation
• Agent workflow integration
• Managed environment control

Use cases

• Safe code testing in agent interactions
• Controlled script execution
• Isolated environment management
• Secure agent skill deployment
• Workflow automation with execution safety

README excerpt

# Agent Sandbox Skill An agent skill for managing isolated execution environments using [E2B Sandboxes](https://e2b.dev/). This skill enables AI agents (Gemini CLI, Claude Code, Codex CLI) to safely execute code, build full-stack applications, and perform arbitrary engineering tasks in a secure, isolated sandbox. Watch the [Gemini 3 Demo](https://youtu.be/V5IhsHEHXOg) or the newer [Claude Opus 4.5](https://youtu.be/3kgx0YxCriM) Demo to understand what this codebase/skill can do for your agentic coding. <img src="images/sandboxes.png" alt="Agent Sandboxes" width="800"> ## Why Use Agent Sandboxes? The **Value Proposition** > > Agent Sandboxes unlock 3 key capabilities for your agentic engineering: - **Isolation**: Each agent fork runs in a fully isolated, gated E2B sandbox, this means no matter what your agent does, it's secure and safe from your local filesystem and production environment. - **Scale**: You can run as many agent forks as you want, each fork is independent and has its own sandbox. This is a very literal way to scale your compute to scale your impact. - **Agency**: Your agents have full control over the sandbox environment, they can install packages, modify files, run commands, etc. This means they can handle more of the engineering process for you. ## 🚀 Features * **Isolated Execution**: Run untrusted code, tests, and binaries safely. * **Full-Stack Development**: Scaffold, build, and host Vue + FastAPI + SQLite apps. * **Browser Automation**: Built-in Playwright integration for visual validation. * **Agent-First Design**: Optimized for CLI agents with structured prompts and robust error handling. * **Persistent Context**: Tools to manage sandbox lifecycles across agent turns. ## 🛠️ Setup ### Prerequisites * Python >= 3.12 * `uv

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