Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add metahub-tech/agent-fleet --skill using-fleet-browsergit clone --depth 1 https://github.com/metahub-tech/agent-fleetWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/metahub-tech/agent-fleet/using-fleet-browser)<a href="https://agentmods.dev/skills/metahub-tech/agent-fleet/using-fleet-browser"><img src="https://agentmods.dev/badge/skills/metahub-tech/agent-fleet/using-fleet-browser/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/metahub-tech/agent-fleet/using-fleet-browser"><img src="https://agentmods.dev/badge/skills/metahub-tech/agent-fleet/using-fleet-browser.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00093 | $0.01791 |
| Opus 5.5 | $0.00037 | $0.00716 |
| Sonnet 5.5 | $0.00019 | $0.00358 |
| Haiku 4.5 | $0.00009 | $0.00179 |
Grade A, and why
using-fleet-browser scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using agent_browser
agent_browser is a proxied capability: an agent-fleet device server (e.g. mac-device) grafts Playwright MCP and drives real, headed Chrome on that host. Discover it via list_capabilities (origin proxied, status enabled); load the tools you need by name.
agent-fleet never runs headless — each browser is a real window on the host's GUI session, suitable for end-to-end testing. (It drives via CDP, so it does NOT need the screen to be awake.)
agent_browser vs human_browser (routing)
- agent_browser (this skill): DOM/semantic control via Playwright. Fast, precise, token-efficient. Has automation traces (CDP /
navigator.webdriver) and runs in an isolated profile (~/.fleet/agent-browser-profile, NOT the user's identity/login). Use for: end-to-end web testing, scraping/reading, browsing to learn, automation where traces are fine. - human_browser (separate capability): drives the host's real Chrome via OS-level input, zero automation traces, real logged-in identity; page localization via human_dom (DOM-precise) or screenshots. Use when acting as the human on real accounts.
★ Rule — real accounts → human_browser + human_dom, NEVER agent_browser (even to "just check"): if you log into a real account here in agent_browser, the login lands in the isolated profile, invisible to human_browser — so the operator's later human_browser runs are logged out and re-login forever (a real bug we hit). For a real account/identity, use human_browser + human_dom from the first navigation through every op (human_dom gives agent_browser-grade DOM precision without the traces; see using-human-browser / using-human-dom). agent_browser is for non-identity work on throwaway/isolated profiles.
Multi-profile + lease model (IMPORTANT — read before driving)
agent_browser supports multiple profiles running truly in parallel — each profile is a separate Chrome (own user-data-dir, own state/cookies/tabs). Every browser_* tool takes two extra params:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 80 lines · 93 tokens per session scan A 77d4b7ffa716
using-fleet-browser is a skill published in the GitHub repository metahub-tech/agent-fleet (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 93 tokens to every session and 1,791 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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