# Web UX Evaluator

> Use this tool when you need to automate the evaluation of web application user experiences through simulated browser interactions. It solves problems such as identifying usability issues and providing recommendations for improvement, and accepts inputs such as web application URLs, generating outputs like detailed reports on UX/UI analysis. Ideal for UX researchers, web developers, and product teams seeking AI-powered insights without manual testing.

Canonical page: https://skillsregistry.net/skills/operative-sh-web-ux-evaluator  
JSON: https://api.skillsregistry.net/v1/skills/operative-sh-web-ux-evaluator

## Description

Web-QA-Agent is an MCP server implementation that enables AI assistants to evaluate web application user experiences through automated browser interactions. Built by Operative-Sh, it leverages Playwright for browser automation and integrates with Claude AI models to perform UX/UI analysis tasks. The server provides a specialized tool for assessing web interfaces, capturing console logs and network requests during evaluation, and generating detailed reports on usability issues and recommendations. This implementation is particularly valuable for UX researchers, web developers, and product teams who need AI-powered analysis of web application interfaces without manual testing.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/operative-sh-web-ux-evaluator)
- **Repository:** <https://github.com/refreshdotdev/web-eval-agent>

## 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": "operative-sh-web-ux-evaluator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/operative-sh-web-ux-evaluator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/operative-sh-web-ux-evaluator/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
