mediar-ai/gemini-computer-use
packages/skills/skills/gemini-computer-use/SKILL.md
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.
$ install --global
skillsauthnpx skillsauth add mediar-ai/skillhubz gemini-computer-useInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 18, 2026, 6:46 AM70.3s1 file scanned
SKILL.md
- name:
- gemini-computer-use
- description:
- 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.
Gemini Computer Use
Quick start
-
Source the env file and set your API key:
cp env.example env.sh $EDITOR env.sh source env.sh -
Create a virtual environment and install dependencies:
python -m venv .venv source .venv/bin/activate pip install google-genai playwright playwright install chromium -
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)
- Capture a screenshot and send the user goal + screenshot to the model.
- Parse
function_callactions in the response. - Execute each action in Playwright.
- If a
safety_decisionisrequire_confirmation, prompt the user before executing. - Send
function_responseobjects containing the latest URL + screenshot. - 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
--excludeto 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
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