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 antibrow/anti-detect-browser-skills --skill anti-detect-browsergit clone --depth 1 https://github.com/antibrow/anti-detect-browser-skillsWrote 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/antibrow/anti-detect-browser-skills/anti-detect-browser)<a href="https://agentmods.dev/skills/antibrow/anti-detect-browser-skills/anti-detect-browser"><img src="https://agentmods.dev/badge/skills/antibrow/anti-detect-browser-skills/anti-detect-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/antibrow/anti-detect-browser-skills/anti-detect-browser"><img src="https://agentmods.dev/badge/skills/antibrow/anti-detect-browser-skills/anti-detect-browser.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk fail
- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 111 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 127 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 234 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium Rogue Agent · line 258 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00222 | $0.09106 |
| Opus 5 | $0.00111 | $0.04553 |
| Sonnet 5 | $0.00044 | $0.01821 |
| Haiku 4.5 | $0.00022 | $0.00911 |
Grade A, and why
anti-detect-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 11d 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 — 598 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anti-Detect Browser SDK
Launch Chromium instances with real-device fingerprints via standard Playwright APIs. Every profile carries one coherent, real-device identity that is frozen at creation and replayed byte-for-byte on every later launch.
- npm package:
anti-detect-browser(Node >= 18) - PyPI package:
antibrow(Python 3.9 - 3.13) - Dashboard:
https://antibrow.com - REST API base:
https://antibrow.com/api/v1/ - Documentation:
https://antibrow.com/docs
Authorized use only. This is for automating systems you own or are permitted to use: your own accounts, your own site's bot detection and anti-fraud stack, publicly available data, and region-specific views of your own ads and pricing. Do not use it to access systems without authorization, to log into accounts that are not yours, to create fake accounts or engagement, or to work around a platform's enforcement decision. Respect each site's terms,
robots.txtand rate limits, and applicable law - see Acceptable use.
What this does not claim. A coherent real-device fingerprint removes the contradictions a synthetic browser leaves behind. It is not a guaranteed pass against enterprise bot managers, which also score network reputation, request patterns, behaviour and account history - none of which a fingerprint touches. Measure with the suites listed under What detection actually tests rather than assuming.
Every code sample below reads credentials from the environment; none contain literal keys or proxy passwords.
Why antibrow
- Spoofing lives in the engine, not in a script. A custom Chromium kernel answers Canvas, WebGL, WebGPU, audio, fonts,
navigator, screen, DOMRect and timezone inside C++/Blink. There is no injected script to find, no property descriptor out of place, and worker contexts return exactly what the main thread does. - Real TLS and HTTP layer. It is Chromium, so the ClientHello, cipher order and HTTP/2-3 behaviour are a genuine Chrome build's - the network half that a patched headless browser can never fake coherently.
- One coherent persona per profile. 30+ categories and 500+ parameters sampled from the same real machine. Independently randomized values contradict each other (an AMD renderer next to an Intel vendor string, a 1.0 DPR on a 1536x864 screen); these do not.
- Timezone and geo follow the proxy. The exit IP is resolved through the proxy before launch, then written into the fingerprint along with the WebRTC identity.
- Proxy auth handled in the network stack. HTTP/HTTPS 407 and SOCKS5 RFC 1929 are answered by the kernel, so nothing appears in
chrome://extensions- a classic anti-detect tell avoided. - Unlimited local profiles, free. A profile is a directory; name one and it exists. Plans cap concurrent browsers, not identities.
- Desktop or phone.
deviceType: 'android'gives a profile a real phone's identity - mobile client hints, touch, portrait screen, mobile GPU - on the machine you already have. - Drop-in Playwright API in both JS and Python - existing scripts change only their launch line.
- Runs as an MCP server so AI agents drive it directly via tool calls.
What ships with it
2 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.
- 11d ago First seen · 598 lines · 222 tokens per session scan A 5fabadf20b5a
anti-detect-browser is a skill published in the GitHub repository antibrow/anti-detect-browser-skills (218 stars, last pushed 14d ago), licensed MIT. It adds 222 tokens to every session and 9,106 once invoked, about $0.0011 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 2026-08-31.
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