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Claw Browser skill

AI agent browser automation. State-first workflow.

Install in one line

$ mfkvault install claw-browser-skill

Requires the MFKVault CLI. Prefer MCP?

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🤖 Claude Code⚡ Cursor💻 Codex🦞 OpenClaw
FREE

Free to install — no account needed

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Instant access • No coding needed • No account needed

What you get in 5 minutes

  • Full skill code ready to install
  • Works with 4 AI agents
  • Lifetime updates included
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Description

# Claw Browser skill AI agent browser automation. State-first workflow. ## Setup ```bash # Install CLI (optional - also works without) sudo ./scripts/install-global-commands.sh # Start ./scripts/start.sh ``` Optional `.env` overrides: ```bash echo "API_KEY=$(openssl rand -hex 32)" >> .env echo "VNC_PASSWORD=$(openssl rand -base64 16)" >> .env ``` Rules: - Never use `docker compose` directly; use scripts only. - Never use `npm run dev`; use `./scripts/build-client.sh`. - `./scripts/start.sh` auto-starts the client server on `http://localhost:3000`. ## Credentials - `API_KEY` in `.env` (optional) - enables API auth - Configure in client Settings ## Commands ```bash browser-cmd ls # List tabs browser-cmd nw [url] # New tab browser-cmd st --tab <ID> # Page state browser-cmd st --agent --tab <ID> # Compact JSON browser-cmd clk <target> --tab <ID> # Click browser-cmd in <target> <text> --tab <ID> # Input browser-cmd scr --stdout --tab <ID> # Screenshot ``` ## Workflow 1. `browser-cmd ls` → get tab ID 2. `browser-cmd st --tab <ID>` → see page 3. `browser-cmd clk <n> --tab <ID>` → interact 4. Re-run `st` to see results ## Tips - Use `--limit 20` to reduce output - Use `--agent` flag for compact JSON - Use `--id` or `--selector` for precise clicks

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