Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    Mobile Harness

    1

    Control Android and iOS devices from your AI agent using the Mobilerun framework for local and cloud orchestration.

    $7

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    See it in action

    You say

    Connect to my local Android device via ADB and open the Settings app to check the current Wi-Fi SSID.

    Your agent does

    Using mobilerun-core to initialize Mobilerun(). Device connected via local ADB. Action: Open Settings app. Action: Navigate to Network & Internet > Wi-Fi. Result: Current SSID is 'Office_Guest_5G'.

    What you get

    Execute cross-platform mobile UI automation using a single Python interface.Securely manage mobile credentials and OTP bypass during agent sessions.Orchestrate local physical devices and remote cloud instances interchangeably.Troubleshoot device connectivity issues with built-in recovery protocols.

    About this skill

    The problem

    Controlling mobile devices from an AI agent is typically a mess of fragmented ADB commands and fragile XCUITest scripts. Agents struggle to maintain consistent sessions across local hardware and cloud providers while handling sensitive authentication flows safely.

    What it does

    • Orchestrates Android and iOS device control through a unified Mobilerun interface.
    • Manages connections for local Android ADB, iOS simulators, and remote cloud devices.
    • Provides structured patterns for handling OTPs, logins, and payment screens without hardcoding secrets.
    • Enforces safety boundaries to prevent unauthorized destructive actions or privacy changes during automation.

    Frameworks & tools

    mobilerun-core, Android ADB, iOS Simulator, macOS, Python, mobilerun-core-local.

    Why this beats prompting it yourself

    It eliminates the need to teach your agent device-specific connection logic or driver dependencies. The skill provides a hardened architecture for state management and credential safety that generic prompts lack.

    Use cases

    • Automate end-to-end testing on real Android and iOS hardware.
    • Perform cross-platform UI audits using cloud device farms.
    • Handle complex mobile authentication flows including OTP and biometric prompts.
    • Build AI-driven mobile app scrapers that navigate native navigation stacks.

    Known limitations

    Requires mobilerun-core installation and active device connection via ADB or Portal HTTP. Developers must manually review QUICKSTART.md for initial environment configuration.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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