# Frontend Review

> Use this tool when you need to verify visual changes in frontend modifications, as it provides an objective review of UI edits by comparing before and after screenshots. It solves the problem of manual inspection by analyzing changes and returning a confirmation or detailed explanation of any discrepancies. The tool accepts screenshot paths and edit request descriptions as input and returns a verification result, making it ideal for developers and AI assistants working on frontend projects.

Canonical page: https://skillsregistry.net/skills/zukai-frontend-review  
JSON: https://api.skillsregistry.net/v1/skills/zukai-frontend-review

## Description

Frontend Review MCP Server provides a visual review tool for UI edit requests by comparing before and after screenshots. Built by ZukAi-MCP, it uses the Hyperbolic API to analyze whether visual changes satisfy the original edit request, with intelligent model fallback across Qwen, Llama, and Pixtral vision models. The server accepts screenshot paths and edit request descriptions, then returns either a confirmation or detailed explanation of why the changes don't meet requirements. It's particularly valuable for developers and AI assistants working on frontend modifications who need objective visual verification without manually inspecting each change.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zukai-frontend-review)
- **Repository:** <https://github.com/fefergrgrgrg/cs-wallet>

## 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": "zukai-frontend-review"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zukai-frontend-review` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zukai-frontend-review/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