A specialized automation skill for executing AutoJS scripts and Android UI tasks on remote cloud devices using the mcporter CLI.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cloudphone
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 cloudphone using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The cloudphone skill provides a robust interface for developers to manage and execute Android automation tasks within a cloud environment. By utilizing mcporter to interact with the cpc-mcp-server, this skill enables AI agents to perform complex mobile operations such as app regression testing, smoke tests, and scripted UI interactions. It is a core part of the Openclaw Skills ecosystem, designed to bridge the gap between local development environments and remote Android hardware.
This skill is particularly valuable for teams that require scalable mobile automation without the overhead of maintaining physical device labs. It leverages AutoJS-based agents to interpret instructions and perform actions on cloud phones, returning results like screenshots and logs directly to the user. By integrating this into Openclaw Skills, users can automate entire mobile workflows using natural language instructions.
To enable this skill in your Openclaw Skills environment, follow these installation steps:
npm install -g mcporter
export CLOUDPHONE_API_KEY="your_api_key_here"
The cloudphone skill interacts with tasks and sessions using the following data structure:
| Attribute | Description | Required |
|---|---|---|
| instruction | The natural language description of the Android task. | Yes |
| lang | The language code for the task instructions (e.g., en). | Yes |
| taskId | The unique identifier returned by the cloud service for the task. | No |
| app_package | The package identifier of the Android app being automated. | No |
| result_type | The type of output requested (screenshot, log, or text). | Yes |
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