Agent Browser (projectamazonph)
/install projectamazonph-agent-browser
Agent Browser Skill
Fast browser automation using accessibility tree snapshots with refs for deterministic element selection.
Why Use This Over Built-in Browser Tool
Use agent-browser when:
- Automating multi-step workflows
- Need deterministic element selection
- Performance is critical
- Working with complex SPAs
- Need session isolation
Use built-in browser tool when:
- Need screenshots/PDFs for analysis
- Visual inspection required
- Browser extension integration needed
Core Workflow
# 1. Navigate and snapshot
agent-browser open https://example.com
agent-browser snapshot -i --json
# 2. Parse refs from JSON, then interact
agent-browser click @e2
agent-browser fill @e3 "text"
# 3. Re-snapshot after page changes
agent-browser snapshot -i --json
Key Commands
Navigation
agent-browser open \x3Curl>
agent-browser back | forward | reload | close
Snapshot (Always use -i --json)
agent-browser snapshot -i --json # Interactive elements, JSON output
agent-browser snapshot -i -c -d 5 --json # + compact, depth limit
agent-browser snapshot -s "#main" -i # Scope to selector
Interactions (Ref-based)
agent-browser click @e2
agent-browser fill @e3 "text"
agent-browser type @e3 "text"
agent-browser hover @e4
agent-browser check @e5 | uncheck @e5
agent-browser select @e6 "value"
agent-browser press "Enter"
agent-browser scroll down 500
agent-browser drag @e7 @e8
Get Information
agent-browser get text @e1 --json
agent-browser get html @e2 --json
agent-browser get value @e3 --json
agent-browser get attr @e4 "href" --json
agent-browser get title --json
agent-browser get url --json
agent-browser get count ".item" --json
Check State
agent-browser is visible @e2 --json
agent-browser is enabled @e3 --json
agent-browser is checked @e4 --json
Wait
agent-browser wait @e2 # Wait for element
agent-browser wait 1000 # Wait ms
agent-browser wait --text "Welcome" # Wait for text
agent-browser wait --url "**/dashboard" # Wait for URL
agent-browser wait --load networkidle # Wait for network
agent-browser wait --fn "window.ready === true"
Sessions (Isolated Browsers)
agent-browser --session admin open site.com
agent-browser --session user open site.com
agent-browser session list
State Persistence
agent-browser state save auth.json # Save cookies/storage
agent-browser state load auth.json # Load (skip login)
Screenshots & PDFs
agent-browser screenshot page.png
agent-browser screenshot --full page.png
agent-browser pdf page.pdf
Network Control
agent-browser network route "**/ads/*" --abort # Block
agent-browser network route "**/api/*" --body '{"x":1}' # Mock
agent-browser network requests --filter api # View
Cookies & Storage
agent-browser cookies # Get all
agent-browser cookies set name value
agent-browser storage local key # Get localStorage
agent-browser storage local set key val
Tabs & Frames
agent-browser tab new https://example.com
agent-browser tab 2 # Switch to tab
agent-browser frame @e5 # Switch to iframe
agent-browser frame main # Back to main
Snapshot Output Format
{
"success": true,
"data": {
"snapshot": "...",
"refs": {
"e1": {"role": "heading", "name": "Example Domain"},
"e2": {"role": "button", "name": "Submit"},
"e3": {"role": "textbox", "name": "Email"}
}
}
}
Best Practices
- Always use
-iflag — Focus on interactive elements - Always use
--json— Easier to parse - Wait for stability —
agent-browser wait --load networkidle - Save auth state — Skip login flows with
state save/load - Use sessions — Isolate different browser contexts
- Use
--headedfor debugging — See what's happening
Configuration
On this machine:
- CLI:
agent-browser(installed globally via npm, Node 24) - Chromium:
/root/.cache/ms-playwright/chromium-1223/chrome-linux/chrome - Config:
browser.executablePathset in~/.openclaw/openclaw.json
Credits
Skill created by Yossi Elkrief (@MaTriXy) agent-browser CLI by Vercel Labs
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install projectamazonph-agent-browser - After installation, invoke the skill by name or use
/projectamazonph-agent-browser - Provide required inputs per the skill's parameter spec and get structured output
What is Agent Browser (projectamazonph)?
Automate complex web workflows with fast, deterministic browser control using accessibility tree snapshots and session isolation. It is an AI Agent Skill for Claude Code / OpenClaw, with 12 downloads so far.
How do I install Agent Browser (projectamazonph)?
Run "/install projectamazonph-agent-browser" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Agent Browser (projectamazonph) free?
Yes, Agent Browser (projectamazonph) is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Agent Browser (projectamazonph) support?
Agent Browser (projectamazonph) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Agent Browser (projectamazonph)?
It is built and maintained by projectamazonph (@projectamazonph); the current version is v1.0.0.