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Gemini Research Browser Use

Listed
grasseed·vlatest·ai-ml·MIT

This skill leverages Gemini to perform web searches and summarize findings directly within your workflow, boosting research efficiency.

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 grasseed/google-search-browser-use --skill gemini-research-browser-use -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

grasseed

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 pipe-to-shell installers: failed

    Runs code fetched at install time in 3 places.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • skills/gemini-research-browser-use/SKILL.md:34remote script piped into an interpreter
      curl -s http://localhost:9222/json | python3 -m json.tool
    • skills/gemini-research-browser-use/SKILL.md:91remote script piped into an interpreter
      curl -s http://localhost:9222/json | python3 -m json.tool
    • skills/gemini-research-browser-use/SKILL.md:383remote script piped into an interpreter
      curl -s http://localhost:9222/json | python3 -c "import sys, json; pages = json.load(sys.stdin); gemini = [p for p in pages if p.get('type') == 'page' and 'gem…

  • 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.

  • Pinned to a commit: passed

    Scanned grasseed/google-search-browser-use at d456459f53.

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

Commit
d456459f53
Manifest
skills/gemini-research-browser-use/SKILL.md
Scanned
1 file, 584 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 enables AI agents to perform web searches using Google, allowing them to retrieve current information and browse the live internet. It bridges the gap between static knowledge and real-time data by executing queries directly within a browser environment.

When to use it

  • Real-time fact-checking: Verify breaking news or recent events that may not be in training data.
  • Market research: Gather up-to-date pricing, availability, or competitor analysis for specific products.
  • Current event synthesis: Summarize the latest developments in a rapidly changing field like technology or politics.
  • Link verification: Check if specific URLs are active and retrieve content from external websites.

Key capabilities

  • Executes Google search queries to find relevant web results.
  • Browses live internet pages to extract specific information.
  • Synthesizes findings from multiple search results into coherent answers.
  • Supports dynamic data retrieval for time-sensitive tasks.

Example prompts

  • "Search for the latest stock price of NVIDIA and summarize recent market trends."
  • "Find current reviews for the new iPhone 16 and compare them to the previous model."
  • "Browse the official website of the World Health Organization and summarize their latest guidelines on flu prevention."

Tips & gotchas

Ensure your AI agent has active internet access permissions enabled, as this skill relies entirely on external connectivity. Results may vary based on the user's geographic location and Google search settings, so specify a region if precision is critical.