Vercel Sandbox
Simulates Vercel deployments within a computeSDK sandbox environment for testing and development workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add computesdk-vercel-sandbox npx -- -y @trustedskills/computesdk-vercel-sandbox
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"computesdk-vercel-sandbox": {
"command": "npx",
"args": [
"-y",
"@trustedskills/computesdk-vercel-sandbox"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The computesdk-vercel-sandbox skill provides access to a VerCEL sandbox environment. This allows AI agents to execute code and interact with resources in an isolated, controlled setting. It's designed for testing, experimentation, and running small applications without impacting external systems.
When to use it
- Testing Code Snippets: Quickly run and debug short pieces of code within a safe environment.
- Experimenting with APIs: Safely explore and test API calls without risking unintended consequences on live data.
- Running Simple Applications: Deploy and execute lightweight applications or scripts for demonstration purposes.
- Sandboxed Development: Provide a secure space to develop and test AI agent actions before deploying them in production.
Key capabilities
- VerCEL Sandbox Environment Access
- Code Execution within the Sandbox
- Isolated Resource Interaction
Example prompts
- "Run this Python script:
print('Hello, world!')" - "Execute this Node.js code and show me the output."
- "Deploy this simple HTML file to the sandbox environment."
Tips & gotchas
The VerCEL sandbox has limitations on execution time and resource usage. Complex or long-running processes may be terminated automatically.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.