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Vercel

Checked
hoodini·vlatest·cloud

Automates deployment of Hoodini projects to Vercel with streamlined build processes and optimized performance.

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 hoodini/ai-agents-skills --skill vercel -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

hoodini

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 hoodini/ai-agents-skills at f7a43d8f85.

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

Commit
f7a43d8f85
Manifest
skills/vercel/SKILL.md
Scanned
1 file, 183 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

The hoodini-vercel skill enables AI agents to interact directly with Vercel's platform, allowing for the management of deployments, project configurations, and environment settings. It streamlines DevOps workflows by automating routine tasks within the Vercel ecosystem without requiring manual API key handling or complex scripting.

When to use it

  • Automate the deployment of new code changes to production or preview environments.
  • Manage multiple Vercel projects and switch contexts dynamically based on project requirements.
  • Retrieve current environment variables and configuration details for integration into other tools.
  • Monitor deployment statuses and handle rollback procedures when issues arise.

Key capabilities

  • Direct interaction with Vercel's API endpoints.
  • Automated deployment triggers and status tracking.
  • Project management and organization handling.
  • Environment variable retrieval and configuration updates.

Example prompts

  • "Deploy the latest changes from my repository to the production environment on Vercel."
  • "List all active projects in my Vercel account and show their current deployment status."
  • "Update the database URL for the staging environment in my Vercel project settings."

Tips & gotchas

Ensure your AI agent has the necessary authentication credentials (such as API tokens) configured securely before attempting to execute commands. Be mindful of rate limits imposed by Vercel's API to avoid deployment interruptions during high-frequency automated tasks.