# agent-safari

> agent-safari — handlecusion-agent-safari. Use this tool when you need to control a Safari or WebKit browser instance locally for automation, testing, or data extraction tasks, providing a programmatic interface for AI agents to interact with web pages. It solves problems related to web scraping, automated browsing, and testing of web applications, accepting inputs such as URLs, scripts, and commands. Outputs include rendered web pages, extracted data, and execution results, making it ideal for use cases requiring local browser control and automation.

Canonical page: https://skillsregistry.net/skills/handlecusion-agent-safari  
JSON: https://api.skillsregistry.net/v1/skills/handlecusion-agent-safari

## Description

Local-first Safari/WebKit MCP browser control for AI agents

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/handlecusion/agent-safari)

## 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": "handlecusion-agent-safari"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/handlecusion-agent-safari` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/handlecusion-agent-safari/pull`

---
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