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/osaurus-ai/osaurus-tools/browsernpx skills add osaurus-ai/osaurus-tools --skill browsergit clone --depth 1 https://github.com/osaurus-ai/osaurus-toolsWrote 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/osaurus-ai/osaurus-tools/browser)<a href="https://agentmods.dev/skills/osaurus-ai/osaurus-tools/browser"><img src="https://agentmods.dev/badge/skills/osaurus-ai/osaurus-tools/browser.svg" alt="Measured on agentmods" 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 | $0.00055 | $0.02109 |
| Opus 5 | $0.00028 | $0.01055 |
| Sonnet 5 | $0.00011 | $0.00422 |
| Haiku 4.5 | $0.00006 | $0.00211 |
Grade A, and why
osaurus-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 4d 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Osaurus Browser
Headless browser automation via element refs. Every action returns a page snapshot automatically — you rarely need to call browser_snapshot separately.
Per-agent persistent sessions
Your browser session is persistent across runs and isolated per agent. Cookies, localStorage, and IndexedDB are stored on disk, keyed by the active agent. That means:
- Never ask the user for passwords, 2FA codes, OAuth approvals, or any credentials in chat. The user signs in once via the helper window (see
browser_open_login); after that you simply callbrowser_navigateand run logged-in. - Don't try to type credentials into login forms yourself. Captchas, risk-based 2FA, and OAuth all break that flow. Use
browser_open_logininstead. - Two different agents have completely separate browser profiles — agent A signing into Gmail does not log agent B in.
Sign-in flow
When browser_navigate returns a LOGIN_REQUIRED error envelope, the response includes the login URL the page redirected to. Your job is:
- Acknowledge in chat: "I need to sign in to . I'm opening a browser window for you."
- Call
browser_open_loginwith the suggested URL. - Wait for the user to confirm in chat that they're done signing in (the tool also returns when the window closes).
- Retry the original
browser_navigate.
// 1. Got LOGIN_REQUIRED from browser_navigate
// 2. Open the helper window
{ "url": "https://github.com/login" }
// 3. After the user signs in and closes the window, retry
{ "url": "https://github.com/notifications" }
If sign-in fails repeatedly (wrong password, expired session, 2FA issues), ask the user before calling browser_reset_session — that tool wipes the entire profile, including any other sites the user signed into for this agent.
Typical Flow (2 calls)
1. browser_navigate(url) → snapshot with refs [E1] [E2] [E3]
2. browser_do([type E1, type E2, click E3]) → snapshot of result page
Key Concepts
What ships with it
21 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.
- CHANGELOG.md 6.6 KB
- Package.resolved 323 B
- Package.swift 1.1 KB
- Sources/OsaurusBrowser/LoginWindow.swift 8.4 KB
- Sources/OsaurusBrowser/Plugin.swift 131 KB
- Sources/OsaurusBrowser/SessionManager.swift 4.6 KB
- Tests/OsaurusBrowserTests/ActionSnapshotTests.swift 4.4 KB
- Tests/OsaurusBrowserTests/BatchDoTests.swift 7.3 KB
- Tests/OsaurusBrowserTests/BrowserTestCase.swift 2.9 KB
- Tests/OsaurusBrowserTests/DispatchFailureTests.swift 9.6 KB
- Tests/OsaurusBrowserTests/EndToEndTests.swift 5.4 KB
- Tests/OsaurusBrowserTests/EscapeSelectorTests.swift 1.5 KB
- Tests/OsaurusBrowserTests/Fixtures/interactive-elements.html 3.7 KB
- Tests/OsaurusBrowserTests/Fixtures/login-form.html 3.2 KB
- Tests/OsaurusBrowserTests/FormatSnapshotTests.swift 7.7 KB
- Tests/OsaurusBrowserTests/LockTests.swift 3.3 KB
- Tests/OsaurusBrowserTests/ManifestTests.swift 10 KB
- Tests/OsaurusBrowserTests/NavigateTests.swift 2.5 KB
- Tests/OsaurusBrowserTests/NormalizeResultTests.swift 3.0 KB
- Tests/OsaurusBrowserTests/SDKConformanceTests.swift 2.1 KB
- Tests/OsaurusBrowserTests/WebKitSmokeTest.swift 553 B
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.
- 4d ago First seen · 228 lines · 55 tokens per session scan A bf65e7720048
osaurus-browser is a skill published in the GitHub repository osaurus-ai/osaurus-tools (56 stars, last pushed 14d ago), licensed MIT. It adds 55 tokens to every session and 2,109 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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