Agent skill

agentuity-cli-cloud-sandbox-run

Run a one-shot command in a sandbox (creates, executes, destroys). Requires authentication. Use for Agentuity cloud platform operations

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/agentuity-cli-cloud-sandbox-run

Metadata

Additional technical details for this skill

tags
slow requires-auth
command
agentuity cloud sandbox run

SKILL.md

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

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

Arguments

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

Options

Option Type Required Default 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)

Examples

Run a simple command:

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

Run with resource limits:

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

Run with network access enabled:

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

Output

Returns JSON object:

json
{
  "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

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