gemini-research-browser-use

gemini-research-browser-use is a skill for Claude Code, Codex from Grasseed/google-search-browser-use. It costs 51 tokens per session (5,158 once invoked), scanned A, original, MIT.

A method for asking Google Gemini questions through an already signed-in Chrome browser using its developer connection.

In plain words
What is it for?
Use it to send research questions to Gemini and collect answers through Chrome.
Why use it?
It lets an agent use the user's browser session instead of needing a separate Gemini API connection, though it requires Chrome and setup for remote control.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 -m venv .venv && ./.venv/bin/pip install websockets.

Good fit Use it to send research questions to Gemini and collect answers through Chrome.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/Grasseed/google-search-browser-use
agentmods
npx agentmods add skills/grasseed/google-search-browser-use/gemini-research-browser-use

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gemini-research-browser-use

README.md
[![agentmods](https://agentmods.dev/badge/skills/grasseed/google-search-browser-use/gemini-research-browser-use/github.svg)](https://agentmods.dev/skills/grasseed/google-search-browser-use/gemini-research-browser-use)
Your own site
<a href="https://agentmods.dev/skills/grasseed/google-search-browser-use/gemini-research-browser-use"><img src="https://agentmods.dev/badge/skills/grasseed/google-search-browser-use/gemini-research-browser-use/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gemini-research-browser-use

Your own site · 80×15
<a href="https://agentmods.dev/skills/grasseed/google-search-browser-use/gemini-research-browser-use"><img src="https://agentmods.dev/badge/skills/grasseed/google-search-browser-use/gemini-research-browser-use.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,158 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. ✓ AI security review Sonnet 5 · 7 Sept 2026 📄 Read the review
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.05158
Opus 5 $0.00026 $0.02579
Sonnet 5 $0.00010 $0.01032
Haiku 4.5 $0.00005 $0.00516

Measured 10d ago against content hash f42c6163ca67, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

gemini-research-browser-use scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/gemini-research-browser-use/SKILL.md · 634 lines

How it starts

The opening of the file, as written. The whole thing — 634 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gemini Research Browser Use

Overview

Perform research or queries using Google Gemini via Chrome DevTools Protocol (CDP). This method reuses the user's existing Chrome login session to interact with the Gemini web interface (https://gemini.google.com/).

Prerequisites

  1. Python + websockets Verify:

    python3 --version
    python3 -m pip show websockets
    

    Install if missing:

    python3 -m pip install websockets
    
  2. Google Chrome Verify:

    "/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" --version
    
  3. CDP Port Availability Verify Chrome is listening (after launch in Step 2):

    curl -s http://localhost:9222/json | python3 -m json.tool
    
  4. Non-default user data directory (required by Chrome) Chrome CDP requires a non-default profile path. Use a cloned profile so you keep login state.

    rm -rf /tmp/chrome-gemini-profile
    rsync -a "$HOME/Library/Application Support/Google/Chrome/" /tmp/chrome-gemini-profile/
    

Method Comparison

Method Pros Cons Recommended
Chrome Remote Debugging (CDP) Uses existing login, full automation, reliable Requires Chrome restart with debugging flag Yes
browser-use --browser real Simple CLI Opens new session without login ❌ No
browser_subagent Visual feedback Rate limited, may fail ❌ No

This is the most reliable method that uses your system Chrome with existing Google login.

Prerequisites

  1. Python 3 with websockets library
  2. Google Chrome installed at /Applications/Google Chrome.app/
  3. User logged into Google in Chrome

Step 1: Install websockets (if needed)

pip3 install websockets
# Or in virtual environment:
python3 -m venv .venv && ./.venv/bin/pip install websockets

Step 2: Launch Chrome with Remote Debugging (Non-default profile)

Read the full file on GitHub · 634 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 634 lines · 51 tokens per session scan E f42c6163ca67

Subscribe to this mod's changes

gemini-research-browser-use is a skill published in the GitHub repository Grasseed/google-search-browser-use (3 stars, last pushed 7mo ago), licensed MIT. It adds 51 tokens to every session and 5,158 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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