sandvault

🥈Silver

Run AI agents in a sandboxed macOS user account with restricted permissions. Ideal for operations teams needing to execute Claude Code, OpenAI Codex, Google Gemini, and shell commands safely. Connects to macOS environments and AI agent workflows.

8160Updated 1mo ago

Intermediate30min to implementautomation

Saves ~360 min per use

Quick InstallView Source

git clone https://github.com/webcoyote/sandvault.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/webcoyote/sandvault

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Create an AI agent named [AGENT_NAME] in a sandboxed macOS user account. The agent should have access to [SPECIFIC_TOOLS] and be configured to perform [TASK_DESCRIPTION]. Ensure the agent operates within the security constraints of the sandboxed environment.

Example Output

Agent 'DataProcessor' has been successfully created in the sandboxed macOS user account. The agent has access to the following tools: Python 3.9, Pandas, and NumPy. It is configured to process and analyze CSV files containing sales data. The agent will operate within the security constraints of the sandboxed environment, ensuring that it cannot access or modify files outside of its designated directory. The agent is ready to perform the task of processing and analyzing the sales data as specified.