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Vercel

Checked
tychohq·vlatest·cloud

Automates deployment of static websites to Vercel using a streamlined workflow from Tychohq.

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 tychohq/agent-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

tychohq

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 tychohq/agent-skills at 3fd6fe40b0.

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

Commit
3fd6fe40b0
Manifest
skills/vercel/SKILL.md
Scanned
1 file, 28 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 vercel skill allows AI agents to interact with Vercel deployments. It can be used to trigger deployments, check deployment status, and retrieve information about existing projects hosted on Vercel. This provides a programmatic way to manage and monitor your Vercel infrastructure directly from an AI agent.

When to use it

  • Automated Deployments: Trigger new deployments or redeploy existing ones based on code changes or other events.
  • Deployment Status Monitoring: Check the status of ongoing deployments and receive notifications about successes or failures.
  • Project Information Retrieval: Get details about Vercel projects, such as URLs, team members, and environment variables (with appropriate permissions).

Key capabilities

  • Trigger Deployments
  • Check Deployment Status
  • Retrieve Project Information

Example prompts

  • "Deploy the latest changes to my 'my-project' Vercel project."
  • "What is the status of the most recent deployment for 'my-project'?"
  • "Get the URL for the production environment of my 'my-project' Vercel project."

Tips & gotchas

  • Requires appropriate API keys and permissions to access your Vercel account. Ensure these are securely configured within the AI agent’s environment.