# iris

> iris — tools-for-agents-iris. Use this tool when you need to test and refine the visual aspects of your project, such as layout, readability, and design consistency. Iris analyzes your build at various viewports and themes, detecting issues like overflow, clipping, and contrast problems, and provides insights to improve user experience. It offers a command-line interface, web interface, and multi-channel publishing, with no dependencies required.

Canonical page: https://skillsregistry.net/skills/tools-for-agents-iris  
JSON: https://api.skillsregistry.net/v1/skills/tools-for-agents-iris

## Description

👁 The agent's eye: render what you built at real viewports and themes, and measure what a glance would catch — overflow, clipping, contrast, unreadable type, collisions, design drift, dead game loops. CLI + web + MCP. Zero deps.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/tools-for-agents/iris)

## 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": "tools-for-agents-iris"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tools-for-agents-iris` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tools-for-agents-iris/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