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Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
Passed 19 of 21 test cases with the skill, and 6 of 21 without it.
and 18 more in the full report
14 fixed6 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
For a registration form, we need to select option value 'enterprise' from dropdown ref @e6, and check the terms agreement checkbox ref @e7. Provide the required CLI commands.
| Checked | Without skill | With skill |
|---|---|---|
| uses agent-browser select @e6 "enterprise" | Missed | Passed |
| uses agent-browser check @e7 | Missed | Passed |
The instructions your model reads when the skill loads.
Fast browser automation using accessibility tree snapshots with refs for deterministic element selection.
Use agent-browser when:
Use built-in browser tool when:
# 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
agent-browser open <url>
agent-browser back | forward | reload | close
test cases passed, vs 6 / 21 without
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