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Browser automation CLI for AI agents.
Passed 22 of 22 test cases with the skill, and 5 of 22 without it.
and 18 more in the full report
17 fixed5 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write a single shell command to open 'https://portal.example.com', wait for all network activity to finish so dynamic loading completes, and generate interactive element reference labels.
| Checked | Without skill | With skill |
|---|---|---|
| Chains commands with && in a single shell line | Missed | Passed |
| Uses wait --load networkidle after navigation | 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
Commands can be chained with && in a single shell invocation. The browser persists between commands via a background daemon, so chaining is safe and more efficient than separate calls.
# Chain open + wait + snapshot in one call
agent-browser open https://example.com && agent-browser wait --load networkidle && agent-browser snapshot -i
# Chain multiple interactions
agent-browser fill @e1 "[email protected]" && agent-browser fill @e2 "password123" && agent-browser click @e3
# Navigate and capture
agent-browser open https://example.com && agent-browser wait --load networkidle && agent-browser screenshot page.png
When to chain: Use && when you don't need to read the output of an intermediate command before proceeding (e.g., open + wait + screenshot). Run commands separately when you need to parse the output first (e.g., snapshot to discover refs, then interact using those refs).
test cases passed, vs 5 / 22 without
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