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Browser automation CLI for AI agents.
Passed 20 of 22 test cases with the skill, and 3 of 22 without it.
and 15 more in the full report
17 fixed3 passed either way2 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.
The diagnostic check reported missing browser binaries and corrupted profile state. What command flag instructs the diagnostic tool to automatically apply destructive repairs like reinstalling binaries?
| Checked | Without skill | With skill |
|---|---|---|
| Applies the --fix flag with the doctor command | Missed | Passed |
The instructions your model reads when the skill loads.
Fast browser automation CLI for AI agents. Chrome/Chromium via CDP, no
Playwright or Puppeteer dependency. Accessibility-tree snapshots with compact
@eN refs let agents interact with pages in ~200-400 tokens instead of
parsing raw HTML.
Most normal web tasks (navigate, read, click, fill, extract, screenshot) are covered here. Load a specialized skill when the task falls outside browser web pages — see When to load another skill.
agent-browser open <url> # 1. Open a page
agent-browser snapshot -i # 2. See what's on it (interactive elements only)
agent-browser click @e3 # 3. Act on refs from the snapshot
agent-browser snapshot -i # 4. Re-snapshot after any page change
Refs (@e1, @e2, ...) are assigned fresh on every snapshot. They become
stale the moment the page changes — after clicks that navigate, form
submits, dynamic re-renders, dialog opens. Always re-snapshot before your
next ref interaction.
# Install once
npm i -g agent-browser && agent-browser install
# Take a screenshot of a page
agent-browser open https://example.com
agent-browser screenshot home.png
agent-browser close
# Search, click a result, and capture it
agent-browser open https://duckduckgo.com
agent-browser snapshot -i # find the search box ref
agent-browser fill @e1 "agent-browser cli"
test cases passed, vs 3 / 22 without
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