agent-safehouse
Provides a sandbox environment for LLM coding agents on macOS, implementing least-privilege access control.
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: agent-safehouse. It is used for: Provides a sandbox environment for LLM coding agents on macOS, implementing least-privilege access control. Full Skill content: https://321skill.com/skills/agent-safehouse/raw/index.md Read that page and install it.
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Agent Safehouse is designed to address the security risks posed by AI coding agents (such as Claude, Cursor, etc.) when running locally. It leverages macOS's sandbox-exec tool to create a strict sandbox environment for these AI agents, which defaults to denying all file access and only permits access to the specific files and integrations necessary for the agent to complete its tasks. This prevents AI from accidentally or maliciously reading or modifying sensitive files.
Usage is highly flexible. You can install it with a single command via Homebrew or download it via script. At runtime, simply prepend the safehouse command and a corresponding configuration profile (e.g., safehouse claude) to the command used to launch your AI agent, placing it into the sandbox. It also supports dynamically adding or restricting access paths via command-line arguments and allows users to create local configuration files to override or append to the default rules.
This tool is ideal for developers, operations engineers, and agent developers who need to run AI coding agents securely on their local machines. Whether for daily development, reviewing AI-generated code, or running automated scripts, it can be used to isolate risks. For team collaboration or managing multiple project environments, it also helps establish a unified security baseline.
The recommended approach is to treat it as an important hardening layer, not an absolute security boundary. It's advised to start with the default configuration and gradually add allow rules based on the AI agent's actual needs (e.g., accessing specific project directories, Git repositories). For highly sensitive environments, you can use the --append-profile parameter to further tighten the default rules, such as removing exceptions like metadata access to the $HOME directory.
Key Features
Compared to similar tools, its core lies in adopting a practical least-privilege model of "default deny" and providing pre-configured, composable policy profiles for mainstream AI coding agents (such as Claude, Cursor, Windsurf). This makes security hardening usable out-of-the-box without hindering normal development efficiency. Additionally, it features built-in macOS system path resolution, automatically handling system symlinks to ensure sandbox policies take effect accurately on the real system.
Limitations
Only compatible with macOS systems, and primarily serves as a security hardening layer; it cannot defend against intentional, sophisticated attackers.
FAQ
Can Agent Safehouse completely prevent AI agents from causing damage?
No, it is primarily a hardening layer designed to prevent accidents and limit the attack surface; it is not an impenetrable security boundary.
Will it interfere with my normal development workflow?
It is designed to minimize interference. Through precise pre-configured policies and flexible rule configuration, it aims to allow AI agents to perform useful work securely.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agent-safehouse/raw/index.md to read the original Skill definition (Markdown format) for agent-safehouse, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agent-safehouse/raw/index.md