# Goodeye

> Use this tool when you need to design and run AI workflows with reliable image output, solving problems related to image processing and verification. Goodeye allows you to create, save, and execute outcome-aligned workflows and verifiers, taking in custom inputs and producing verified image outputs. Ideal for use cases requiring consistent and accurate image results, such as quality control or data validation.

Canonical page: https://skillsregistry.net/skills/dev-goodeye-goodeye  
JSON: https://api.skillsregistry.net/v1/skills/dev-goodeye-goodeye

## Description

Design, save, and run outcome-aligned AI workflows and verifiers, with reliable image output.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.19.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/dev.goodeye%2Fgoodeye)
- **Repository:** <https://github.com/Goodeye-Labs/goodeye-cli>

## Use it

MCP endpoint published by the skill: `https://mcp.goodeye.dev/mcp`

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": "dev-goodeye-goodeye"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dev-goodeye-goodeye` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dev-goodeye-goodeye/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