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Browser Automation with agent-browser

Official
vercel-labs·vlatest·agents·Apache-2.0

Access and interact with web pages, extract data, and automate tasks directly through a browser interface.

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 vercel-labs/agent-browser --skill agent-browser -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

vercel-labs

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 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 vercel-labs/agent-browser at d01253d9db.

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

Scanned
1 file, 49 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 agent-browser skill allows users to discover, explore, and install AI agent skills from a centralized registry. It provides an interface to search through available skills, view their details, and integrate them into workflows or applications.

When to use it

  • You need to find new AI agent capabilities for your project.
  • You want to browse existing skills to see what's available before installing.
  • You're looking for documentation or metadata about a specific skill.
  • You are setting up an environment and need to quickly install relevant agent tools.

Key capabilities

  • Search for skills by name, author, or category.
  • View detailed descriptions and metadata of each skill.
  • Install skills directly from the registry.
  • Explore categories and popular skills for quick discovery.

Example prompts

  • "Find a skill for natural language processing."
  • "Show me all AI agent skills created by vercel-labs."
  • "Install the agent-browser skill in my project."

Tips & gotchas

  • Ensure you have internet access to browse and install skills.
  • Some skills may require additional setup or dependencies after installation.