# testa

> testa — valewnrt-testa. Use this tool when you need to automate interactions with the iOS Simulator, such as testing and validating app functionality. It solves problems like simulating human-like gestures and reading screen content through OCR and accessibility tree analysis. It takes in test scripts and outputs simulation results, ideal for use in continuous integration pipelines like git.

Canonical page: https://skillsregistry.net/skills/valewnrt-testa  
JSON: https://api.skillsregistry.net/v1/skills/valewnrt-testa

## Description

Drive the iOS Simulator like a human — from an AI agent. Real HID gestures, a11y-tree + OCR reading, deterministic flows, MCP server. Zero third-party deps.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/valewnrt/testa)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "valewnrt-testa"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/valewnrt-testa` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/valewnrt-testa/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt