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/ruvnet/ruview/browsernpx skills add ruvnet/RuView --skill browsergit clone --depth 1 https://github.com/ruvnet/RuViewWhat 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 | $0.00015 | $0.01384 |
| Opus 5 | $0.00008 | $0.00692 |
| Sonnet 5 | $0.00003 | $0.00277 |
| Haiku 4.5 | $0.00002 | $0.00138 |
Grade A, and why
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 today.
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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Browser Automation Skill
Web browser automation using agent-browser with AI-optimized snapshots. Reduces context by 93% using element refs (@e1, @e2) instead of full DOM.
Core Workflow
# 1. Navigate to page
agent-browser open <url>
# 2. Get accessibility tree with element refs
agent-browser snapshot -i # -i = interactive elements only
# 3. Interact using refs from snapshot
agent-browser click @e2
agent-browser fill @e3 "text"
# 4. Re-snapshot after page changes
agent-browser snapshot -i
Quick Reference
Navigation
| Command | Description |
|---|---|
open <url> |
Navigate to URL |
back |
Go back |
forward |
Go forward |
reload |
Reload page |
close |
Close browser |
Snapshots (AI-Optimized)
| Command | Description |
|---|---|
snapshot |
Full accessibility tree |
snapshot -i |
Interactive elements only (buttons, links, inputs) |
snapshot -c |
Compact (remove empty elements) |
snapshot -d 3 |
Limit depth to 3 levels |
screenshot [path] |
Capture screenshot (base64 if no path) |
Interaction
| Command | Description |
|---|---|
click <sel> |
Click element |
fill <sel> <text> |
Clear and fill input |
type <sel> <text> |
Type with key events |
press <key> |
Press key (Enter, Tab, etc.) |
hover <sel> |
Hover element |
select <sel> <val> |
Select dropdown option |
check/uncheck <sel> |
Toggle checkbox |
scroll <dir> [px] |
Scroll page |
Get Info
| Command | Description |
|---|---|
get text <sel> |
Get text content |
get html <sel> |
Get innerHTML |
get value <sel> |
Get input value |
get attr <sel> <attr> |
Get attribute |
get title |
Get page title |
get url |
Get current URL |
Wait
| Command | Description |
|---|---|
wait <selector> |
Wait for element |
wait <ms> |
Wait milliseconds |
wait --text "text" |
Wait for text |
wait --url "pattern" |
Wait for URL |
wait --load networkidle |
Wait for load state |
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.
- today First seen · 205 lines · 15 tokens per session scan A fe216d9664f5
browser is a skill published in the GitHub repository ruvnet/RuView (92,406 stars, last pushed today), licensed MIT. It adds 15 tokens to every session and 1,384 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 2026-09-03.
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Use when writing E2E tests with Playwright, setting up test infrastructure, or debugging flaky browser tests. Invoke for browser automation, E2E tests, Page Object Model, test flakiness, visual testing.