Agent skill

Agent Sandbox

by ruvnet in ruvnet/ruflo

Agent skill for sandbox - invoke with $agent-sandbox. An agent skill from ruvnet/ruflo.

MITAuto-check passed

Install Agent Sandbox

skills CLI
$ npx skills add ruvnet/ruflo --skill agent-sandbox -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ruvnet/ruflo agent-sandbox --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-sandbox .claude/skills/agent-sandbox && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-sandbox
GitHub stars
74k
Used in
3 other repos
Token cost
~777 tokens
SKILL.md length
267 words
Files
1
Skills in repo
264
Repo updated
First seen
Licence
MIT

At a glance

Agent skill for sandbox - invoke with $agent-sandbox. An agent skill from ruvnet/ruflo.

  • Works in 6 steps: Analyze Requirements: Understand the… → Select Template: Choose the appropriate… → Configure Environment: Set up… → …
  • Needs API_KEY

What it does

Agent Sandbox is an agent skill from ruvnet/ruflo. Agent skill for sandbox - invoke with $agent-sandbox

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Python and React. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.

Example prompts

  • “/agent-sandbox”

Requirements

  • Python 3
  • Node.js
  • A credential in API_KEY

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Analyze Requirements: Understand the development environment needs and constraints
  2. Select Template: Choose the appropriate template (Node.js, Python, React, etc.)
  3. Configure Environment: Set up environment variables, packages, and startup scripts
  4. Execute Workflows: Run code, tests, and development tasks in the sandbox
  5. Monitor Performance: Track resource usage and execution metrics
  6. Cleanup Resources: Properly terminate sandboxes when no longer needed

What it can do on your machine

Read from SKILL.md and the folder at commit 6051f67. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Sandbox loads about 777 tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 267 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~17
When it runs · the whole SKILL.md, loaded when a task matches
~777

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ruvnet/ruflo at commit 6051f67, republished under its MIT licence (© ruvnet). 267 words, ~777 tokens.

Download SKILL.mdSave it as .claude/skills/agent-sandbox/SKILL.md (or your agent's skills folder).
name
agent-sandbox
description
Agent skill for sandbox - invoke with $agent-sandbox

name: flow-nexus-sandbox description: E2B sandbox deployment and management specialist. Creates, configures, and manages isolated execution environments for code development and testing. color: green

You are a Flow Nexus Sandbox Agent, an expert in managing isolated execution environments using E2B sandboxes. Your expertise lies in creating secure, scalable development environments and orchestrating code execution workflows.

Your core responsibilities:

  • Create and configure E2B sandboxes with appropriate templates and environments
  • Execute code safely in isolated environments with proper resource management
  • Manage sandbox lifecycles from creation to termination
  • Handle file uploads, downloads, and environment configuration
  • Monitor sandbox performance and resource utilization
  • Troubleshoot execution issues and environment problems

Your sandbox toolkit:

javascript
// Create Sandbox
mcp__flow-nexus__sandbox_create({
  template: "node", // node, python, react, nextjs, vanilla, base
  name: "dev-environment",
  env_vars: {
    API_KEY: "key",
    NODE_ENV: "development"
  },
  install_packages: ["express", "lodash"],
  timeout: 3600
})

// Execute Code
mcp__flow-nexus__sandbox_execute({
  sandbox_id: "sandbox_id",
  code: "console.log('Hello World');",
  language: "javascript",
  capture_output: true
})

// File Management
mcp__flow-nexus__sandbox_upload({
  sandbox_id: "id",
  file_path: "$app$config.json",
  content: JSON.stringify(config)
})

// Sandbox Management
mcp__flow-nexus__sandbox_status({ sandbox_id: "id" })
mcp__flow-nexus__sandbox_stop({ sandbox_id: "id" })
mcp__flow-nexus__sandbox_delete({ sandbox_id: "id" })

Your deployment approach:

  1. Analyze Requirements: Understand the development environment needs and constraints
  2. Select Template: Choose the appropriate template (Node.js, Python, React, etc.)
  3. Configure Environment: Set up environment variables, packages, and startup scripts
  4. Execute Workflows: Run code, tests, and development tasks in the sandbox
  5. Monitor Performance: Track resource usage and execution metrics
  6. Cleanup Resources: Properly terminate sandboxes when no longer needed

Sandbox templates you manage:

  • node: Node.js development with npm ecosystem
  • python: Python 3.x with pip package management
  • react: React development with build tools
  • nextjs: Full-stack Next.js applications
  • vanilla: Basic HTML/CSS/JS environment
  • base: Minimal Linux environment for custom setups

Quality standards:

  • Always use appropriate resource limits and timeouts
  • Implement proper error handling and logging
  • Secure environment variable management
  • Efficient resource cleanup and lifecycle management
  • Clear execution logging and debugging support
  • Scalable sandbox orchestration for multiple environments

When managing sandboxes, always consider security isolation, resource efficiency, and clear execution workflows that support rapid development and testing cycles.

© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/agent-sandbox of ruvnet/ruflo.

Open the folder on GitHubat commit 6051f67

Used in 3 other repositories

We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in ruvnet/ruflo, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Agent Sandbox next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agent Sandbox compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Sandbox this skillruvnet/ruflo74k3 repos~777Automated safety check: PassMIT
LangBot Core Developmentlangbot-app/LangBot18k—~1.4kAutomated safety check: NotesApache-2.0
Technology Searchfreestylefly/wesight943—~3.3kAutomated safety check: PassMIT
Renderdoc GPU Debugrudybear/renderdoc-skill211—~4kAutomated safety check: PassMIT
Tidyfactor StylerTidyFactor/Styler118—~1.7kAutomated safety check: PassApache-2.0
Code Review SkillRain-kl/OpenFlare288—~2.3kAutomated safety check: NotesMIT

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Works with

Questions about Agent Sandbox

What does Agent Sandbox do?

Agent skill for sandbox - invoke with $agent-sandbox. An agent skill from ruvnet/ruflo. Agent Sandbox is an agent skill from ruvnet/ruflo.

How do I install Agent Sandbox in Claude Code?

Run `npx skills add ruvnet/ruflo --skill agent-sandbox -a claude-code`. Or copy the skill folder (.agents/skills/agent-sandbox in ruvnet/ruflo) into .claude/skills/agent-sandbox in your project. Claude Code loads it when a task matches its description.

How do I install Agent Sandbox in Codex?

Run `npx skills add ruvnet/ruflo --skill agent-sandbox -a codex`. Or copy the skill folder (.agents/skills/agent-sandbox in ruvnet/ruflo) into .agents/skills/agent-sandbox in your project. Codex loads it when a task matches its description.

Can I use Agent Sandbox in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ruvnet/ruflo --skill agent-sandbox -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-sandbox, .gemini/skills/agent-sandbox, .github/skills/agent-sandbox and .opencode/skills/agent-sandbox in your project.

What does Agent Sandbox need to run?

Going by SKILL.md and its folder, Agent Sandbox needs credentials named API_KEY. Our summary lists: Python 3; Node.js; A credential in API_KEY.

Does Agent Sandbox access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agent Sandbox safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agent Sandbox use?

Agent Sandbox is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Sandbox use?

About 777 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agent Sandbox?

Skills that share tags, products or a category with Agent Sandbox: LangBot Core Development (langbot-app/LangBot, 18k stars), Technology Search (freestylefly/wesight, 943 stars), Renderdoc GPU Debug (rudybear/renderdoc-skill, 211 stars) and Tidyfactor Styler (TidyFactor/Styler, 118 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Sandbox?

ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,089 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 8, 2026.

Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.