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Vercel Deploy

Official
openai·vlatest·cloud

Official openai skill covering OpenAI, Vercel, deployment for building AI and machine learning applications.

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 openai/skills --skill vercel-deploy -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

openai

Matched to the vendor's own GitHub organisation.

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: codex-deploy-skills.vercel.sh.

    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.

    Hosts contacted

    codex-deploy-skills.vercel.shundeclared

    What it found

    • skills/.curated/vercel-deploy/scripts/deploy.sh:9contacts codex-deploy-skills.vercel.sh
      DEPLOY_ENDPOINT="https://codex-deploy-skills.vercel.sh/api/deploy"

  • 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 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 openai/skills at 49f948faa9.

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

Commit
49f948faa9
Manifest
skills/.curated/vercel-deploy/SKILL.md
Scanned
4 files, 377 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 openai-vercel-deploy skill enables AI agents to deploy applications directly to Vercel, a serverless platform for frontend and full-stack developers. It streamlines the deployment process by integrating with Vercel's API, allowing users to push code changes automatically or on-demand.

When to use it

  • Automating deployments of web apps after code updates in a CI/CD pipeline.
  • Deploying static sites or Next.js applications quickly without manual intervention.
  • Setting up continuous deployment workflows for AI-powered frontend tools.

Key capabilities

  • Integration with Vercel's API for seamless deployment.
  • Support for deploying projects from local directories or remote repositories.
  • Automation of deployment triggers based on code changes or user commands.

Example prompts

  • "Deploy the latest version of my Next.js app to Vercel."
  • "Push the current branch to a new production environment on Vercel."
  • "Automate deployment every time I commit to the main branch."

Tips & gotchas

  • Ensure your project is configured correctly for Vercel, including vercel.json or .env files if needed.
  • API tokens must be securely managed and not exposed in public repositories or logs.