Borrowing it
Nothing to install: this file belongs to cacity/VideoHub. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cacity/VideoHub/main/.agents/skills/browser-use/SKILL.mdgit clone --depth 1 https://github.com/cacity/VideoHubWrote 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/cacity/videohub/browser-use)<a href="https://agentmods.dev/skills/cacity/videohub/browser-use"><img src="https://agentmods.dev/badge/skills/cacity/videohub/browser-use/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/cacity/videohub/browser-use"><img src="https://agentmods.dev/badge/skills/cacity/videohub/browser-use.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 | $0.00047 | $0.01956 |
| Opus 5.5 | $0.00019 | $0.00782 |
| Sonnet 5.5 | $0.00009 | $0.00391 |
| Haiku 4.5 | $0.00005 | $0.00196 |
Grade A, and why
browser-use 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 1mo 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- browser-use — 100% identical, 0 lines differ
- browser-use — 100% identical, 1 lines differ
How it starts
The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Browser Automation with browser-use CLI
The browser-use command provides fast, persistent browser automation. A background daemon keeps the browser open across commands, giving ~50ms latency per call.
Prerequisites
browser-use doctor # Verify installation
For setup details, see https://github.com/browser-use/browser-use/blob/main/browser_use/skill_cli/README.md
Core Workflow
- Navigate:
browser-use open <url>— starts browser if needed - Inspect:
browser-use state— returns clickable elements with indices - Interact: use indices from state (
browser-use click 5,browser-use input 3 "text") - Verify:
browser-use stateorbrowser-use screenshotto confirm - Repeat: browser stays open between commands
- Cleanup:
browser-use closewhen done
Browser Modes
browser-use open <url> # Default: headless Chromium
browser-use --headed open <url> # Visible window
browser-use --profile "Default" open <url> # Real Chrome with Default profile (existing logins/cookies)
browser-use --profile "Profile 1" open <url> # Real Chrome with named profile
browser-use --connect open <url> # Auto-discover running Chrome via CDP
browser-use --cdp-url ws://localhost:9222/... open <url> # Connect via CDP URL
--connect, --cdp-url, and --profile are mutually exclusive.
Commands
# Navigation
browser-use open <url> # Navigate to URL
browser-use back # Go back in history
browser-use scroll down # Scroll down (--amount N for pixels)
browser-use scroll up # Scroll up
browser-use switch <tab> # Switch to tab by index
browser-use close-tab [tab] # Close tab (current if no index)
# Page State — always run state first to get element indices
browser-use state # URL, title, clickable elements with indices
browser-use screenshot [path.png] # Screenshot (base64 if no path, --full for full page)
# Interactions — use indices from state
browser-use click <index> # Click element by index
browser-use click <x> <y> # Click at pixel coordinates
browser-use type "text" # Type into focused element
browser-use input <index> "text" # Click element, then type
browser-use keys "Enter" # Send keyboard keys (also "Control+a", etc.)
browser-use select <index> "option" # Select dropdown option
browser-use upload <index> <path> # Upload file to file input
browser-use hover <index> # Hover over element
browser-use dblclick <index> # Double-click element
browser-use rightclick <index> # Right-click element
# Data Extraction
browser-use eval "js code" # Execute JavaScript, return result
browser-use get title # Page title
browser-use get html [--selector "h1"] # Page HTML (or scoped to selector)
browser-use get text <index> # Element text content
browser-use get value <index> # Input/textarea value
browser-use get attributes <index> # Element attributes
browser-use get bbox <index> # Bounding box (x, y, width, height)
# Wait
browser-use wait selector "css" # Wait for element (--state visible|hidden|attached|detached, --timeout ms)
browser-use wait text "text" # Wait for text to appear
# Cookies
browser-use cookies get [--url <url>] # Get cookies (optionally filtered)
browser-use cookies set <name> <value> # Set cookie (--domain, --secure, --http-only, --same-site, --expires)
browser-use cookies clear [--url <url>] # Clear cookies
browser-use cookies export <file> # Export to JSON
browser-use cookies import <file> # Import from JSON
# Python — persistent session with browser access
browser-use python "code" # Execute Python (variables persist across calls)
browser-use python --file script.py # Run file
browser-use python --vars # Show defined variables
browser-use python --reset # Clear namespace
# Session
browser-use close # Close browser and stop daemon
browser-use sessions # List active sessions
browser-use close --all # Close all sessions
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.
- 1mo ago First seen · 203 lines · 47 tokens per session scan A 67ead9e22037
browser-use is a skill published in the GitHub repository cacity/VideoHub (171 stars, last pushed 15d ago), licensed MIT. It adds 47 tokens to every session and 1,956 once invoked, about $0.0002 per session on Opus 5.5. 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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stage-plan
The "ingest + plan" half of end-to-end video orchestration — ingest the user's material from evidence, then decompose intent into ONE cross-modal EDL (plan.json: edit/generate/compose/provided segments + narration/music/caption tracks + a delivery promise), validate it with ovs plan validate. Trigger when the…
gate-control
Canonical VideoStudio review authorization and state-transition policy. Use after any Gate B/C/Preview/D decision, post-gate revision, resumed approval, or exhausted visual-QA result across COMPOSE/AUTO/GENERATE/EDIT; maps explicit user authority and durable artifact state to one next action with ovs gate transition.…
stage-edit
Intelligent editing of real user-supplied footage—understand it with transcript/inspected-frame/scene/silence/quality evidence, then choose deterministic timeline operations or a constrained semantic AI edit. Trigger for repurpose, montage, cleanup, localization, narration, or local content changes.
design-system-importer
Reference-media and design-system input layer for OrkasVideoStudio. Treat reference images, videos, screenshots, brand guides, and design notes uniformly, compiling reproduce/edit/guide intent into executable spatial and temporal constraints.