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am-will/codex-skills1.2k installs

gemini-computer-use

Build and run Gemini 2.5 Computer Use browser-control agents with Playwright. Use when a user wants to automate web browser tasks via the Gemini Computer Use model, needs an agent loop (screenshot → function_call → action → function_response), or asks to integrate safety confirmation for risky UI actions.

How do I install this agent skill?

npx skills add https://github.com/am-will/codex-skills --skill gemini-computer-use
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill allows automated browser control using Gemini. It is generally safe but carries an inherent risk of indirect prompt injection from malicious web pages that the agent may visit.

  • Socketpass

    No alerts

  • Snykfail

    Risk: CRITICAL · No issues

  • Runlayerwarn

    4/4 files flagged

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

Gemini Computer Use

Quick start

  1. Source the env file and set your API key:

    cp env.example env.sh
    $EDITOR env.sh
    source env.sh
    
  2. Create a virtual environment and install dependencies:

    python -m venv .venv
    source .venv/bin/activate
    pip install google-genai playwright
    playwright install chromium
    
  3. Run the agent script with a prompt:

    python scripts/computer_use_agent.py \
      --prompt "Find the latest blog post title on example.com" \
      --start-url "https://example.com" \
      --turn-limit 6
    

Browser selection

  • Default: Playwright's bundled Chromium (no env vars required).
  • Choose a channel (Chrome/Edge) with COMPUTER_USE_BROWSER_CHANNEL.
  • Use a custom Chromium-based executable (e.g., Brave) with COMPUTER_USE_BROWSER_EXECUTABLE.

If both are set, COMPUTER_USE_BROWSER_EXECUTABLE takes precedence.

Core workflow (agent loop)

  1. Capture a screenshot and send the user goal + screenshot to the model.
  2. Parse function_call actions in the response.
  3. Execute each action in Playwright.
  4. If a safety_decision is require_confirmation, prompt the user before executing.
  5. Send function_response objects containing the latest URL + screenshot.
  6. Repeat until the model returns only text (no actions) or you hit the turn limit.

Operational guidance

  • Run in a sandboxed browser profile or container.
  • Use --exclude to block risky actions you do not want the model to take.
  • Keep the viewport at 1440x900 unless you have a reason to change it.

Resources

  • Script: scripts/computer_use_agent.py
  • Reference notes: references/google-computer-use.md
  • Env template: env.example

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/am-will/codex-skills/gemini-computer-use">View gemini-computer-use on skillZs</a>