sandbox-agent

🥈Silver

Universal API for automatic coding agents in sandboxes. Supports Claude Code, Codex, OpenCode, and Amp. Enables developers to interact with multiple coding agents using a single interface. Integrates with existing workflows for automated code generation and testing.

7740Updated 1mo ago

Intermediate30min to implementautomation

Saves ~180 min per use

Quick InstallView Source

git clone https://github.com/rivet-dev/sandbox-agent.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/rivet-dev/sandbox-agent

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

Act as a sandbox agent for [COMPANY] in the [INDUSTRY] sector. Use [API] to automatically generate, test, and deploy code snippets in a secure sandbox environment. Focus on [SPECIFIC TASK] and ensure the code adheres to [PROGRAMMING LANGUAGE] standards. Provide detailed feedback on the performance and suggest improvements.

Example Output

# Sandbox Agent Report for GreenTech Solutions

## Code Generation and Testing
- **Task**: Automated data processing script for IoT devices
- **Language**: Python
- **Status**: Successfully generated and tested
- **Performance Metrics**:
  - Execution Time: 1.2 seconds
  - Memory Usage: 45MB
  - Error Rate: 0.0%

## Recommendations
- Optimize the data parsing loop for better performance
- Implement error handling for network timeouts
- Consider using asyncio for concurrent data processing

## Deployment Readiness
- Code is ready for deployment
- Suggested deployment environment: AWS Lambda
- Estimated cost savings: 20% compared to current solution