Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ckorhonen/claude-skillsnpx agentmods add skills/ckorhonen/claude-skills/ios-app-testerWrote 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/skills/ckorhonen/claude-skills/ios-app-tester)<a href="https://agentmods.dev/skills/ckorhonen/claude-skills/ios-app-tester"><img src="https://agentmods.dev/badge/skills/ckorhonen/claude-skills/ios-app-tester/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/skills/ckorhonen/claude-skills/ios-app-tester"><img src="https://agentmods.dev/badge/skills/ckorhonen/claude-skills/ios-app-tester.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 | $0.00050 | $0.01810 |
| Opus 5 | $0.00025 | $0.00905 |
| Sonnet 5 | $0.00010 | $0.00362 |
| Haiku 4.5 | $0.00005 | $0.00181 |
Grade A, and why
ios-app-tester 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iOS App Tester (AXe CLI)
Overview
Test and automate iOS Simulator applications using AXe, a command-line tool that leverages Apple's Accessibility APIs for programmatic simulator control. AXe runs as a single binary with no server setup required.
When to Use
- Automating iOS Simulator UI interactions for testing
- Auditing accessibility labels and VoiceOver descriptions
- Recording test execution videos
- Scripting repeatable test scenarios
- CI/CD pipeline iOS testing integration
Prerequisites
- macOS with Xcode installed
- iOS Simulator (included with Xcode)
- Homebrew (for installation)
Installation
brew tap cameroncooke/axe
brew install axe
Verify installation:
axe --help
Quick Start
- Find your simulator UDID:
axe list-simulators
- Tap a coordinate:
axe tap -x 200 -y 400 --udid <SIMULATOR_UDID>
- Inspect accessibility elements:
axe describe-ui --udid <SIMULATOR_UDID>
Command Reference
Simulator Discovery
# List all available simulators with UDIDs
axe list-simulators
Touch Interactions
# Tap at coordinates
axe tap -x 100 -y 200 --udid <UDID>
# Swipe gesture
axe swipe --start-x 100 --start-y 500 --end-x 100 --end-y 200 --udid <UDID>
# Low-level touch events
axe touch-down -x 100 -y 200 --udid <UDID>
axe touch-up -x 100 -y 200 --udid <UDID>
Preset Gestures
# Scrolling
axe gesture scroll-up --udid <UDID>
axe gesture scroll-down --udid <UDID>
axe gesture scroll-left --udid <UDID>
axe gesture scroll-right --udid <UDID>
# Edge swipes (for navigation)
axe gesture swipe-from-left-edge --udid <UDID>
axe gesture swipe-from-right-edge --udid <UDID>
axe gesture swipe-from-top-edge --udid <UDID>
axe gesture swipe-from-bottom-edge --udid <UDID>
Text Input
# Type text directly
axe type 'Hello World!' --udid <UDID>
# Type from stdin (useful for passwords/sensitive data)
echo "secret" | axe type --stdin --udid <UDID>
# Type from file
axe type --file input.txt --udid <UDID>
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.
- 12d ago First seen · 289 lines · 50 tokens per session scan A b4fc57e03aeb
ios-app-tester is a skill published in the GitHub repository ckorhonen/claude-skills (14 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 1,810 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
Other skills, from other repositories
ios-device-qa
Use when the user runs /ios-device-qa to drive a real iPhone over USB through a debug-bridge daemon and return a device QA report with verified interactions. Do not use for remote, credential, publish, deploy, or irreversible changes.
xcode-simulator-testing
Use when asked to run /xcode-simulator-testing with a scheme name or current to build and launch an iOS app in a simulator. Not for project regeneration: use ios-build-fix.
android-ui-journey-testing
XML-specified Android UI journey testing, interactive step execution, assertion verification, and JSON outcome reporting.
android_ui_verification
Automated end-to-end UI testing and verification on an Android Emulator using ADB.
dogfood
Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.
solopi-ai
A command-line framework for testing Android apps and devices with SoloPi, including on-device or cloud AI decision models. It manages devices, test cases, recorded interactions, replays, performance history, and evidence.