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Vercel Ai Gateway Setup

Listed
ergunsh·vlatest·cloud

Helps with Vercel, AI, setup and configuration as part of agent workflows workflows.

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 ergunsh/skills --skill vercel-ai-gateway-setup -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

ergunsh

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 2 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: ai-gateway.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

    ai-gateway.vercel.shundeclared

    What it found (3 of 4)

    • vercel-ai-gateway-setup/scripts/setup-vercel-ai-gateway.sh:170contacts ai-gateway.vercel.sh
      export ANTHROPIC_BASE_URL="https://ai-gateway.vercel.sh"
    • vercel-ai-gateway-setup/scripts/setup-vercel-ai-gateway.sh:179contacts ai-gateway.vercel.sh
      export ANTHROPIC_BASE_URL="https://ai-gateway.vercel.sh"
    • vercel-ai-gateway-setup/scripts/setup-vercel-ai-gateway.sh:195contacts ai-gateway.vercel.sh
      export ANTHROPIC_BASE_URL="https://ai-gateway.vercel.sh"
  • No credential access: failed

    Touches credential material in 3 places.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

    What it found

    • vercel-ai-gateway-setup/SKILL.md:95OS keychain / credential manager
      export ANTHROPIC_AUTH_TOKEN=$(security find-generic-password -a "$USER" -s "ANTHROPIC_AUTH_TOKEN" -w)
    • vercel-ai-gateway-setup/scripts/setup-vercel-ai-gateway.sh:171OS keychain / credential manager
      export ANTHROPIC_AUTH_TOKEN=\$(security find-generic-password -a "\$USER" -s "ANTHROPIC_AUTH_TOKEN" -w)
    • vercel-ai-gateway-setup/scripts/setup-vercel-ai-gateway.sh:196OS keychain / credential manager
      export ANTHROPIC_CUSTOM_HEADERS="x-ai-gateway-api-key: Bearer \$(security find-generic-password -a "\$USER" -s "ANTHROPIC_AUTH_TOKEN" -w)"
  • 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 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 ergunsh/skills at ea0ec1d830.

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

Scanned
2 files, 425 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 automates the setup of a Vercel AI Gateway. It simplifies deploying and managing AI models on Vercel, handling routing and infrastructure concerns. This allows users to quickly integrate their AI models into applications without complex configuration.

When to use it

  • You want to deploy an existing AI model (e.g., LLM) to a production environment using Vercel.
  • You need a simple way to route requests to different AI models based on specific criteria.
  • You're building a serverless application that requires AI inference capabilities and prefer the scalability of Vercel.
  • You want to avoid manually configuring infrastructure for your AI model deployment.

Key capabilities

  • Automated Vercel AI Gateway setup
  • Model routing configuration
  • Simplified deployment process

Example prompts

  • "Set up a Vercel AI Gateway for my Llama 2 model."
  • "Configure the gateway to route requests with 'image' in the query string to my image generation model."
  • “Deploy my Stable Diffusion model using this skill.”

Tips & gotchas

The skill requires familiarity with Vercel and basic understanding of AI models. Ensure your AI model is packaged appropriately for deployment (e.g., as a Docker container or serverless function).