Cloud Sandbox Command Execution

VerifiedCaution

Execute a single command in an ephemeral sandbox on the Agentuity cloud platform. The sandbox is provisioned with specified runtime, resources, and environment variables, runs the command, and is then destroyed. This is ideal for testing scripts or running isolated tasks without permanent infrastructure.

Sby Skills Guide Bot
DevelopmentIntermediate
6/2/2026
Claude Code
#cloud-sandbox#one-shot-command#ephemeral-environment#agentuity

Recommended for

Automated summary

Runs a one-shot command in an ephemeral sandbox on the Agentuity cloud platform, with automatic creation and destruction.

Strengths

  • Full isolation with disposable sandboxes created on the fly
  • Fine-grained resource configuration (CPU, memory, disk, timeout)
  • Support for multiple runtimes (Bun, Python) and system tools via snapshots and dependencies
  • Integration with Agentuity's cloud ecosystem for workflows

Limitations

  • Requires prior authentication via `agentuity auth login`
  • Sandbox creation adds latency to execution time
  • No data persistence after sandbox is destroyed
When to use it

Best for securely running isolated commands in the cloud, such as testing code or executing scripts without affecting the local environment.

When not to use it

Avoid for long-running processes that need persistent state or real-time user interaction.

Security analysis

Caution
Quality score85/100

The skill is a wrapper for a cloud sandbox CLI, executing user-supplied commands in an ephemeral environment. While the sandbox is intended to isolate actions, the ability to run any command with optional network access poses a risk if the AI agent is manipulated to run harmful payloads. The skill itself is not inherently destructive, but the broad permission to run arbitrary code warrants caution.

Findings
  • •Executes arbitrary commands in a cloud sandbox with optional network access, which could be misused for malicious activities if the AI agent is tricked.
  • •Consumes cloud resources (CPU, memory, disk) that could be abused for cryptomining or denial-of-service if not properly restricted by the platform.
  • •Requires authentication, reducing unauthorized access, but still allows powerful actions within the sandbox.
How this analysis is made

Examples

Simple echo command
Run the command 'echo hello world' in a new Agentuity cloud sandbox using the default runtime.
Run a script with resource limits
Use Agentuity CLI to execute 'bun run index.ts' in a sandbox with 1Gi memory and 1000m CPU, timeout 5 minutes.
Fetch data with network access
Create a sandbox with network enabled and run 'curl https://api.example.com' using Agentuity cloud sandbox run.

name: agentuity-cli-cloud-sandbox-run description: "Run a one-shot command in a sandbox (creates, executes, destroys). Requires authentication. Use for Agentuity cloud platform operations" version: "0.1.24" license: Apache-2.0 allowed-tools: "Bash(agentuity:*)" argument-hint: "<command...>" metadata: command: "agentuity cloud sandbox run" tags: "slow requires-auth"

Cloud Sandbox Run

Run a one-shot command in a sandbox (creates, executes, destroys)

Prerequisites

  • Authenticated with agentuity auth login
  • Organization context required (--org-id or default org)

Usage

agentuity cloud sandbox run <command...> [options]

Arguments

| Argument | Type | Required | Description | |----------|------|----------|-------------| | <command...> | array | Yes | - |

Options

| Option | Type | Required | Default | Description | |--------|------|----------|---------|-------------| | --runtime | string | Yes | - | Runtime name (e.g., "bun:1", "python:3.14") | | --runtimeId | string | Yes | - | Runtime ID (e.g., "srt_xxx") | | --name | string | Yes | - | Sandbox name | | --description | string | Yes | - | Sandbox description | | --memory | string | Yes | - | Memory limit (e.g., "500Mi", "1Gi") | | --cpu | string | Yes | - | CPU limit in millicores (e.g., "500m", "1000m") | | --disk | string | Yes | - | Disk limit (e.g., "500Mi", "1Gi") | | --network | boolean | No | false | Enable outbound network access | | --timeout | string | Yes | - | Execution timeout (e.g., "5m", "1h") | | --env | array | Yes | - | Environment variables (KEY=VALUE) | | --file | array | Yes | - | Files to create in sandbox (sandbox-path:local-path) | | --timestamps | boolean | No | false | Include timestamps in output (default: true) | | --snapshot | string | Yes | - | Snapshot ID or tag to restore from | | --dependency | array | Yes | - | Apt packages to install (can be specified multiple times) | | --projectId | string | Yes | - | Project ID to associate this sandbox with |

Examples

Run a simple command:

bunx @agentuity/cli cloud sandbox run -- echo "hello world"

Run with resource limits:

bunx @agentuity/cli cloud sandbox run --memory 1Gi --cpu 1000m -- bun run index.ts

Run with network access enabled:

bunx @agentuity/cli cloud sandbox run --network -- curl https://api.example.com

Output

Returns JSON object:

{
  "sandboxId": "string",
  "exitCode": "number",
  "durationMs": "number",
  "output": "string"
}

| Field | Type | Description | |-------|------|-------------| | sandboxId | string | Sandbox ID | | exitCode | number | Exit code from the process | | durationMs | number | Duration in milliseconds | | output | string | Combined stdout/stderr output |

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/cloud-sandbox-command-execution-mm8o528v/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/cloud-sandbox-command-execution-mm8o528v' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/cloud-sandbox-command-execution-mm8o528v/download' --output '.skill-downloads/cloud-sandbox-command-execution-mm8o528v/SKILL.md.part' && mv '.skill-downloads/cloud-sandbox-command-execution-mm8o528v/SKILL.md.part' '.skill-downloads/cloud-sandbox-command-execution-mm8o528v/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

Tools declared by the author (check availability in your agent): Bash(agentuity:*)

Original excerpt: Prerequisites
  • Authenticated with agentuity auth login
  • Organization context required (--org-id or default org)

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code
test -f '.skill-downloads/cloud-sandbox-command-execution-mm8o528v/SKILL.md' && test -s '.skill-downloads/cloud-sandbox-command-execution-mm8o528v/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/agentuity-cli-cloud-sandbox-run' && cp -R '.skill-downloads/cloud-sandbox-command-execution-mm8o528v' '.claude/skills/agentuity-cli-cloud-sandbox-run'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/cloud-sandbox-command-execution-mm8o528v'

openskills read 'cloud-sandbox-command-execution-mm8o528v'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/cloud-sandbox-command-execution-mm8o528v/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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