# js-eyes

> js-eyes — imjszhang-js-eyes. Use this tool when you need to automate browser interactions for AI agents, enabling control over tabs, content extraction, script execution, and cookie management. It solves problems related to web scraping, automated testing, and browser-based data processing through a WebSocket interface. This tool accepts script commands as input and outputs extracted data or execution results, ideal for use cases requiring programmatic browser control.

Canonical page: https://skillsregistry.net/skills/imjszhang-js-eyes  
JSON: https://api.skillsregistry.net/v1/skills/imjszhang-js-eyes

## Description

Browser automation for AI agents — control tabs, extract content, execute scripts and manage cookies via WebSocket.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/imjszhang-js-eyes)

## 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": "imjszhang-js-eyes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/imjszhang-js-eyes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/imjszhang-js-eyes/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