A private WebSocket gateway that establishes a secure, self-hosted bridge between iOS devices and local AI agents.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install shellphone-gateway
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install shellphone-gateway using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
ShellPhone Gateway is a specialized tool within the ecosystem of Openclaw Skills designed to provide a direct, encrypted line between your iPhone and self-hosted AI bots. Unlike traditional integrations that rely on Telegram or Discord, this gateway ensures your messages never touch third-party servers, keeping your data entirely on your hardware.
By integrating seamlessly with local LLM providers like Ollama, it allows developers and enthusiasts to extend the reach of their AI agents to mobile platforms without sacrificing privacy or performance. This is a foundational piece for anyone building robust Openclaw Skills that require reliable mobile access while maintaining full ownership of their communication stack.
To begin using this with your Openclaw Skills, run the gateway via Docker:
git clone https://github.com/loserbcc/openclaw-gateway.git
cd openclaw-gateway
docker compose up
Alternatively, install via Python:
pip install openclaw-gateway
openclaw-gateway
After starting, visit http://localhost:8770/setup to scan the QR code with the ShellPhone iOS app available via TestFlight.
The gateway utilizes a WebSocket-based messaging protocol to handle real-time data flow for your Openclaw Skills.
| Component | Description |
|---|---|
| WebSocket URL | wss://your-server:8770/gateway |
| Auth Token | Generated on startup for secure pairing |
| LLM Integration | Automatic detection of local Ollama API endpoints |
| Audio Processing | Stateless TTS/ASR requests routed through ScrappyLabs |
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