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Agent Sandbox

Checked
ruvnet·vlatest·agents·MIT

Simulate agent interactions in a controlled environment to test strategies and debug behavior safely before deployment.

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 ruvnet/ruflo --skill agent-sandbox --full-depth -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

ruvnet

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

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

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned ruvnet/claude-flow at 49da6ecc44.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
49da6ecc44
Manifest
.agents/skills/agent-sandbox/SKILL.md
Scanned
1 file, 79 lines
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 agent-sandbox skill provides a safe and isolated environment to test and debug AI agents. It allows you to run agents without impacting your main system or data, facilitating experimentation with different configurations and tools. This sandbox includes a simplified file system for agent interaction and observation of their execution flow.

When to use it

  • Debugging Agent Logic: Isolate and reproduce issues within an agent's code without affecting other processes.
  • Testing New Tools: Safely integrate and evaluate new tools or APIs into your agent workflows.
  • Experimenting with Configurations: Try out different prompt strategies, memory configurations, or agent parameters in a controlled setting.
  • Evaluating Agent Performance: Assess the efficiency and accuracy of agents under specific conditions without real-world consequences.

Key capabilities

  • Isolated execution environment
  • Simplified file system for agent interaction
  • Debugging tools for observing agent behavior
  • Safe testing of new tools and APIs

Example prompts

  • "Run this agent with the following configuration: [configuration details]"
  • "Execute this script within the sandbox, simulating a user interaction."
  • "Debug this agent's file reading process in the isolated environment."

Tips & gotchas

The agent-sandbox is designed for testing and debugging; it’s not intended for production workloads. Ensure that any sensitive data or critical operations are handled outside of the sandbox to avoid potential risks.