Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/nphausg/ai-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/nphausg/ai-agent-skills/android_ui_testing)<a href="https://agentmods.dev/rules/nphausg/ai-agent-skills/android_ui_testing"><img src="https://agentmods.dev/badge/rules/nphausg/ai-agent-skills/android_ui_testing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/nphausg/ai-agent-skills/android_ui_testing"><img src="https://agentmods.dev/badge/rules/nphausg/ai-agent-skills/android_ui_testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00010 | $0.00139 |
| Opus 5.5 | $0.00004 | $0.00056 |
| Sonnet 5.5 | $0.00002 | $0.00028 |
| Haiku 4.5 | $0.00001 | $0.00014 |
Grade A, and why
android_ui_testing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
- Use Espresso for testing classic Android Views; use Compose Testing APIs for Jetpack Compose UI.
- Keep UI tests focused on user interactions and visible UI changes.
- Avoid complex logic in UI tests; delegate business logic testing to unit tests.
- Use Idling Resources or
composeTestRule.awaitIdle()to synchronize asynchronous events. - Use clear, descriptive test names that reflect user behavior being tested.
- Isolate UI tests from backend dependencies by using mock servers or test doubles.
- Run UI tests on real or emulated devices to catch platform-specific issues.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 12 lines · 10 tokens per session scan A 9e5df5acd717
android_ui_testing is a cursor rule published in the GitHub repository nphausg/ai-agent-skills (2 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 10 tokens to every session and 139 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other cursor rules, from other repositories
testing
Vitest toolchain and testing discipline - two runtimes, no watch for agents, authoring gate, junk patterns.
swift-testing-playbook
Comprehensive guide for migrating from XCTest to Swift Testing with best practices from WWDC 2024.
swift-observable
Migration guide for updating SwiftUI apps from ObservableObject to the @Observable macro.
safari-automation
Patterns and best practices for automating Safari browser interactions for web UI automation and testing.
modern-swift
Write idiomatic SwiftUI code following Apple's latest architectural recommendations and best practices.
compose-testing
Compose testing: createComposeRule, semantic matchers, Paparazzi screenshot tests, Hilt + Compose test setup, runTest for coroutines, Turbine for Flow assertions, fake repositories over mocks. Agent-requested.