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 roedyrustam/vibes-plug --skill browser-automation-expertgit clone --depth 1 https://github.com/roedyrustam/vibes-plugWrote 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/roedyrustam/vibes-plug/browser-automation-expert)<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/browser-automation-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/browser-automation-expert/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/roedyrustam/vibes-plug/browser-automation-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/browser-automation-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00068 | $0.01024 |
| Opus 5 | $0.00034 | $0.00512 |
| Sonnet 5 | $0.00014 | $0.00205 |
| Haiku 4.5 | $0.00007 | $0.00102 |
Grade A, and why
browser-automation-expert 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autonomous Web Agent & Automation Expert
English
Purpose & Overview
Deploy ultra-powerful autonomous web agents that can perceive, navigate, and execute complex workflows without human intervention. Use modern frameworks (Browser-Use, Stagehand) combined with hardcore anti-detection evasion techniques and Vision LLMs for visual QA.
Core Capabilities
-
Autonomous Execution Frameworks
- Integrate Browser-Use and Stagehand to allow LLMs to visually interpret DOM trees, inject semantic labels, and autonomously decide click/type actions.
- Map complex multi-step workflows to semantic goals rather than brittle CSS selectors.
-
Hardcore Evasion & Anti-Bot Bypassing
- Playwright Stealth: Implement
puppeteer-extra-plugin-stealthadapted for Playwright to spoofnavigator.webdriver. - Fingerprint Masking: Spoof Canvas, WebGL, AudioContext, and WebRTC fingerprints.
- Human Behavior Mimicry: Inject randomized delays, Bezier-curve mouse movements, and organic scroll patterns. Rotate residential proxies to bypass Cloudflare/Datadome.
- Playwright Stealth: Implement
-
Visual QA & Diffing via Vision LLMs
- Capture viewport screenshots and pipe them into GPT-4o, Claude 3.5 Sonnet, or Gemini 1.5 Pro.
- Prompt the Vision LLM to perform layout regression checks, identify visual anomalies, or validate complex states (e.g., "Is the modal fully obscuring the background?").
Execution Protocol
- Action: Initialize Stagehand or Browser-Use agent.
- Action: Inject stealth scripts before page load.
- Action: Pass screenshots to Vision LLM at key checkpoints for semantic validation.
Orchestration & Integration
- Integrates with:
web-scraper,autonomous-chaos-monkey,visual-qa-vision-agent,e2e-testing-expert.
Bahasa Indonesia
Tujuan & Gambaran Umum
Terapkan agen web otonom super kuat yang dapat melihat, menavigasi, dan mengeksekusi alur kerja kompleks tanpa campur tangan manusia. Gunakan framework modern (Browser-Use, Stagehand) dipadukan dengan teknik penghindaran deteksi bot tingkat tinggi dan Vision LLM untuk QA visual.
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 · 72 lines · 68 tokens per session scan A 8fbb7e23dc63
browser-automation-expert is a skill published in the GitHub repository roedyrustam/vibes-plug (50 stars, last pushed 3d ago), licensed MIT. It adds 68 tokens to every session and 1,024 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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