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 agentmods add skills/fusengine/agents/fuse-browser-usagenpx skills add fusengine/agents --skill fuse-browser-usagegit clone --depth 1 https://github.com/fusengine/agentsWhat 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 | $0.00055 | $0.00819 |
| Opus 5 | $0.00028 | $0.00409 |
| Sonnet 5 | $0.00011 | $0.00164 |
| Haiku 4.5 | $0.00006 | $0.00082 |
Grade A, and why
fuse-browser-usage 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 2d 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
It covers only the raw browser tooling. The full design pipeline (identity -> generate -> audit) is NOT here -- that lives in fuse-design:design-web and the fuse-design:design-review gate.
fuse-browser — Efficient Usage
Canonical doctrine for every mcp__fuse-browser__* call. Read this skill FIRST, then load the one reference matching your goal. Default engine is patchright (stealth identity auto-generated); the Chromium binary comes from setup.sh.
4 Rules (ZERO TOLERANCE)
- Fast-path FIRST (no browser launch, ~10× faster) —
browser_fetch/browser_fetch_batch/browser_crawl/browser_serp_batchto read a page, bulk-fetch, crawl a site, or scrape Google SERP. Open a live session ONLY when you need interaction, JS rendering, or pixels. - One session, always closed —
browser_openonce → reuse thesessionIdacrossbrowser_navigatecalls →browser_closewhen done. Never leak sessions; the 2-min TTL is a safety net, not a substitute for closing. - Batch over loops —
browser_serp_batch(N queries),browser_fetch_batch/browser_shots_batch(N URLs),browser_screenshot { viewports:[...], colorScheme }(responsive + dark in ONE call). Never write a per-URL loop. - Deterministic extraction —
browser_extract_schemawithcontainerSelector(card-by-card, correlated fields) over manualbrowser_snapshotparsing.
Routing — pick the profile, load the reference
| Goal | Profile | Reference |
|---|---|---|
| Read docs, bulk-fetch, crawl, scrape SERP (no pixels) | Research / docs | references/research-docs.md |
| Test a running webapp (console, network, interactions) | Webapp testing | references/webapp-testing.md |
| Screenshots, responsive + dark, visual regression | Visual / design | references/visual-design.md |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 45 lines · 55 tokens per session scan A f3c4f6a4a205
fuse-browser-usage is a skill published in the GitHub repository fusengine/agents (25 stars, last pushed 29d ago), licensed MIT. It adds 55 tokens to every session and 819 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
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