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Vercel Workflow

Listed
jakerains·vlatest·cloud·MIT

Automates deployment of projects to Vercel using a custom workflow defined by jakerains for streamlined updates.

Repository

Install on your platform

This skill no longer installs under the name vercel-workflow. jakerains/agentskills is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

jakerains

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 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: api.email.com.

    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

    api.email.comundeclared

    What it found

    • skills/vercel-workflow/SKILL.md:43contacts api.email.com
      const res = await fetch("https://api.email.com/send", {

  • 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 jakerains/agentskills at a9caf90007.

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

Commit
a9caf90007
Manifest
skills/vercel-workflow/SKILL.md
Scanned
4 files, 1,987 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

This skill, jakerains-vercel-workflow, automates deployments to Vercel. It handles tasks like pushing code changes, triggering builds, and managing environments directly from an AI agent's instructions. This streamlines the development workflow and reduces manual intervention in deployment processes.

When to use it

  • Automated Code Deployments: Automatically deploy new versions of a website or application whenever specific conditions are met (e.g., after code review).
  • Environment Management: Easily manage different Vercel environments (staging, production) and switch between them based on agent instructions.
  • CI/CD Pipelines: Integrate with existing CI/CD pipelines to trigger deployments as part of a larger automated process.
  • Rapid Prototyping: Quickly deploy experimental features or prototypes without manual configuration.

Key capabilities

  • Vercel deployment automation
  • Environment management (staging, production)
  • Integration with CI/CD pipelines
  • Code pushing and build triggering

Example prompts

  • "Deploy the latest changes to the staging environment."
  • "Trigger a new build for the main branch."
  • "Promote version 1.2.3 to production."

Tips & gotchas

  • Requires access to a Vercel account and project with appropriate permissions.
  • Ensure your Vercel CLI is properly configured before using this skill within an AI agent.