# Janux

> Janux — aralroca-janux. Use this tool when you need to create a unified interface for both human users and AI agents, leveraging its dual-faced component to provide a UI for humans and MCP tools for AI agents, with integration capabilities via git. It solves problems of fragmented development and communication between human and AI interfaces. Ideal for use cases requiring seamless interaction between humans and AI agents in a full-stack framework.

Canonical page: https://skillsregistry.net/skills/aralroca-janux  
JSON: https://api.skillsregistry.net/v1/skills/aralroca-janux

## Description

Janux - One component, two faces: UI for humans, MCP tools for AI agents. The agent-native fullstack framework.

## Trust

- **Trust score (0–1):** 0.94
- **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/aralroca/Janux)

## 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": "aralroca-janux"
    }
  }
}
```

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