# midscene-ios-automation

> midscene-ios-automation — quanru-midscene-ios-automation. Use this tool when you need to automate interactions with iOS devices using visual inputs, ideal for testing and automating tasks on iOS devices with complex user interfaces. It solves problems such as automating repetitive tasks, testing iOS apps, and interacting with devices programmatically. The tool takes visual inputs and outputs automated interactions, making it a suitable choice for scenarios where traditional automation methods are insufficient.

Canonical page: https://skillsregistry.net/skills/quanru-midscene-ios-automation  
JSON: https://api.skillsregistry.net/v1/skills/quanru-midscene-ios-automation

## Description

Vision-driven iOS device automation using Midscene CLI.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/quanru-midscene-ios-automation)

## 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": "quanru-midscene-ios-automation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/quanru-midscene-ios-automation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/quanru-midscene-ios-automation/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