Can I use this for browser-based automation?

It is specifically used for 'browser chrome' elements—such as address bars, navigation buttons, and tab switchers—which are native components rather than web content.

What is the benefit of using DSL batch execution?

Batch execution allows multiple automation steps (tap, type, wait, assert) to be sent in a single request, making the automation much faster and more reliable than executing one step at a time.

How does it handle unexpected popups or system dialogs?

The skill utilizes 'if_exists' conditional logic within its DSL scripts to identify and interact with elements like permission dialogs or cookie banners only when they appear.

Does this skill work on both iOS and Android?

Yes, the Native Runner is designed to interact with native UI components across both major mobile platforms by leveraging the device accessibility tree.

How do I verify if an action was successful?

You can use built-in assertion actions like 'assert_exists', 'assert_property', or 'assert_screen_changed' to programmatically verify the UI state after an interaction.

Mobile Native UI Runner

Name: Mobile Native UI Runner
Author: MobAI-App

byMobAI-App

•

Mobile Development

Automates native mobile application interfaces and browser navigation using a high-performance DSL batch execution engine.

Native Mobile Runner is a specialized execution agent designed for complex mobile UI automation tasks across iOS and Android devices. It leverages a powerful Domain Specific Language (DSL) to perform batch actions such as element tapping, text input, and semantic scrolling, significantly reducing the latency associated with step-by-step LLM interactions. Whether testing native applications like Settings and Instagram or interacting with native browser chrome elements in Safari and Chrome, this skill provides precise control through accessibility tree analysis and element predicates, ensuring robust automation, state verification, and UI testing of mobile workflows.

Key Features

01Advanced element targeting using text, type, labels, and spatial predicates

02Built-in UI state assertions and screen change detection for reliable testing

033 GitHub stars

04Semantic scrolling and gesture-based navigation (swipe, toggle, navigate)

05Batch DSL execution to minimize LLM round-trips and maximize performance

06Deep interaction with native mobile components and browser navigation bars

Use Cases

01End-to-end automated testing for iOS and Android native applications

02Accessibility auditing and UI state verification across mobile operating systems

03Mobile browser automation involving native address bars and tab management

Key Features

01Advanced element targeting using text, type, labels, and spatial predicates

02Built-in UI state assertions and screen change detection for reliable testing

033 GitHub stars

04Semantic scrolling and gesture-based navigation (swipe, toggle, navigate)

05Batch DSL execution to minimize LLM round-trips and maximize performance

06Deep interaction with native mobile components and browser navigation bars

Use Cases

01End-to-end automated testing for iOS and Android native applications

02Accessibility auditing and UI state verification across mobile operating systems

03Mobile browser automation involving native address bars and tab management