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 notforyou23/home23 --skill browser-automationgit clone --depth 1 https://github.com/notforyou23/home23Wrote 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/notforyou23/home23/browser-automation)<a href="https://agentmods.dev/skills/notforyou23/home23/browser-automation"><img src="https://agentmods.dev/badge/skills/notforyou23/home23/browser-automation/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/notforyou23/home23/browser-automation"><img src="https://agentmods.dev/badge/skills/notforyou23/home23/browser-automation.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 | $0.00020 | $0.00371 |
| Opus 5 | $0.00010 | $0.00186 |
| Sonnet 5 | $0.00004 | $0.00074 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
Browser Automation 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 9d 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.
What it actually says
Browser Automation
Use this skill when a live browser pass is a better fit than plain HTTP fetches.
When to use
Use browser-automation for:
- page screenshots
- extracting rendered text
- checking that a page loads correctly in the live browser
Actions
navigate
Input:
{
"url": "https://example.com",
"waitMs": 3000
}
extract
Input:
{
"url": "https://example.com",
"selector": "main",
"waitMs": 3000
}
screenshot
Input:
{
"url": "https://example.com",
"waitMs": 3000
}
Gotchas
- This skill requires the Home23 browser controller to be available.
- Heavy client-side pages may need a longer
waitMs. - Use this when rendering matters. If plain HTTP text is enough,
web_browsemay be cheaper.
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.
- 9d ago First seen · 77 lines · 20 tokens per session scan A 13a8481a78a9
Browser Automation is a skill published in the GitHub repository notforyou23/home23 (11 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 371 once invoked, about $0.0001 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.
Other skills, from other repositories
browser-automation
AI browser automation - navigate, interact, extract, verify via browser-use MCP.
browser-automation
Web automation with 4-layer escalation (Fetch, Genesis Browser, On-Demand MCP, Computer Use), anti-detection, and persistent profiles.
browserbase-mcp
Allow LLMs to control a browser with Browserbase and Stagehand for AI-powered web automation, intelligent data extraction, and screenshot capture.
visual-recon
Screenshot all live hosts for rapid visual triage and technology fingerprinting.
stealth-browser
Anti-detection behavioral rules for stealth browser automation.
fuse-browser-usage
Use when about to call any mcpfuse-browser tool. Routes fetch/crawl/SERP vs live browser session vs screenshot capture, and enforces the 4 ZERO-TOLERANCE rules -- read BEFORE the tool call.