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Browser automation using Vercel's agent-browser CLI.
Passed 22 of 22 test cases with the skill, and 13 of 22 without it.
and 7 more in the full report
9 fixed13 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Element @e15 is located off-screen. What CLI command scrolls the document until @e15 is inside the visible viewport?
| Checked | Without skill | With skill |
|---|---|---|
| Uses 'scrollintoview @e15' command. | Missed | Passed |
The instructions your model reads when the skill loads.
Vercel's headless browser automation CLI designed for AI agents. Uses ref-based selection (@e1, @e2) from accessibility snapshots.
# Check installation
command -v agent-browser >/dev/null 2>&1 && echo "Installed" || echo "NOT INSTALLED - run: npm install -g agent-browser && agent-browser install"
npm install -g agent-browser
agent-browser install # Downloads Chromium
The snapshot + ref pattern is optimal for LLMs:
# Step 1: Open URL
agent-browser open https://example.com
# Step 2: Get interactive elements with refs
agent-browser snapshot -i --json
# Step 3: Interact using refs
agent-browser click @e1
agent-browser fill @e2 "search query"
# Step 4: Re-snapshot after changes
agent-browser snapshot -i
test cases passed, vs 13 / 22 without
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