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Browser automation CLI for AI agents.
Passed 22 of 22 test cases with the skill, and 12 of 22 without it.
and 10 more in the full report
10 fixed12 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am writing a browser CLI script that needs to pause until a modal element with reference `@e4` becomes visible, delay until the page URL matches the pattern `**/dashboard`, and also pause for an explicit 3000 milliseconds. Show the exact wait commands for these three conditions.
| Checked | Without skill | With skill |
|---|---|---|
| Pauses execution for URL dynamic routing changes using pattern flags. | Passed | Passed |
| Executes `wait 3000` for fixed millisecond delay pauses. | Missed | Passed |
The instructions your model reads when the skill loads.
Every browser automation follows this pattern:
agent-browser open <url>agent-browser snapshot -i (get element refs like @e1, @e2)agent-browser open https://example.com/form
agent-browser snapshot -i
# Output: @e1 [input type="email"], @e2 [input type="password"], @e3 [button] "Submit"
agent-browser fill @e1 "[email protected]"
agent-browser fill @e2 "password123"
agent-browser click @e3
agent-browser wait --load networkidle
agent-browser snapshot -i # Check result
# Navigation
agent-browser open <url> # Navigate (aliases: goto, navigate)
agent-browser close # Close browser
# Snapshot
agent-browser snapshot -i # Interactive elements with refs (recommended)
agent-browser snapshot -i -C # Include cursor-interactive elements (divs with onclick, cursor:pointer)
agent-browser snapshot -s "#selector" # Scope to CSS selector
# Interaction (use @refs from snapshot)
agent-browser click @e1 # Click element
agent-browser fill @e2 "text" # Clear and type text
agent-browser type @e2 "text" # Type without clearing
agent-browser select @e1 "option" # Select dropdown option
test cases passed, vs 12 / 22 without
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