Run AI agents in an isolated macOS virtual machine. Ideal for operations teams needing secure, sandboxed environments for AI agent execution. Connects to Claude Code for agent workflows.
git clone https://github.com/webcoyote/clodpod.gitRun AI agents in an isolated macOS virtual machine. Ideal for operations teams needing secure, sandboxed environments for AI agent execution. Connects to Claude Code for agent workflows.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/webcoyote/clodpodCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a secure macOS virtual machine sandbox using ClodPod to run AI agents for [COMPANY]. The agents should be configured to handle [INDUSTRY]-specific tasks like [DATA] processing. Ensure the environment is isolated and connected to Claude Code for agent workflows.
# ClodPod AI Agent Sandbox Setup ## Virtual Machine Configuration - **OS**: macOS 14.5.1 - **CPU**: 4 cores - **RAM**: 16GB - **Storage**: 100GB SSD - **Network**: Isolated with VPN access ## AI Agent Workflows - **Task 1**: Data processing for [INDUSTRY] reports - **Task 2**: Automated customer support responses - **Task 3**: Predictive maintenance analysis ## Security Measures - **Isolation**: No direct internet access - **Encryption**: AES-256 for all data in transit - **Access Control**: Multi-factor authentication ## Connection to Claude Code - **API Endpoint**: `https://api.claude.code/v1/agents` - **Authentication**: OAuth 2.0 - **Rate Limits**: 100 requests per minute ## Monitoring - **Logs**: Centralized logging with real-time alerts - **Performance Metrics**: CPU, RAM, and disk usage monitoring ## Example Agent Workflow ```python # Sample AI agent script for data processing import clodpod agent = clodpod.Agent(name='DataProcessor') agent.connect(claude_code_api='https://api.claude.code/v1/agents') agent.run(task='process_data', data=[DATA]) ```
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