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Get Started Free →reflexioai/agent-browser
Browser automation CLI for AI agents.
Passed 21 of 24 test cases with the skill, and 4 of 24 without it.
and 16 more in the full report
18 fixed4 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 18 test cases the skill fixed. Same model, same prompt, with and without the skill.
Inspect what changed in the page accessibility tree immediately after clicking submit button @e2.
| Checked | Without skill | With skill |
|---|---|---|
| Uses agent-browser diff snapshot to show additions and removals. | Missed | Passed |
The instructions your model reads when the skill loads.
The CLI uses Chrome/Chromium via CDP directly. Install via npm i -g agent-browser, brew install agent-browser, or cargo install agent-browser. Run agent-browser install to download Chrome.
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
test cases passed, vs 4 / 24 without
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