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Sandbox Agent

Official
rivet-dev·vlatest·agents

Sandbox-agent by rivet-dev provides isolated, reproducible environments for testing and experimenting with AI models safely.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add rivet-dev/skills --skill sandbox-agent -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

rivet-dev

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 6 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as rivet-dev/skills.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The sandbox-agent skill provides a secure, isolated environment for running and testing AI agent code. It allows developers to execute scripts or applications without affecting the host system, making it ideal for experimentation and debugging.

When to use it

  • Testing new agent behaviors or integrations in a safe environment before deployment
  • Debugging complex workflows without risking data corruption or security breaches
  • Running untrusted or third-party code with restricted access to system resources

Key capabilities

  • Isolated execution environment
  • Resource usage monitoring and limits
  • Secure sandboxing of AI agent processes
  • Easy setup and integration with development workflows

Example prompts

  • "Run this agent script in a sandboxed environment to test its behavior."
  • "Execute the new plugin code inside a secure sandbox to ensure it doesn't compromise the system."
  • "Test the AI agent's response to edge cases within a controlled sandbox."

Tips & gotchas

  • Ensure that all dependencies are properly configured for the sandbox environment.
  • Be aware of resource limits—long-running or memory-intensive tasks may be restricted.