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Vercel Sandbox

Checked
computesdk·vlatest·cloud

Simulates Vercel deployments within a computeSDK sandbox environment for testing and development workflows.

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 computesdk/sandbox-skills --skill vercel-sandbox -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

computesdk

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 computesdk/sandbox-skills at 38f503bdaf.

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

Commit
38f503bdaf
Manifest
skills/vercel-sandbox/SKILL.md
Scanned
1 file, 75 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 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.