# proteus

> proteus — muhammadmustafa18-proteus. Use this tool when you need to manage multiple large language models (LLMs) and integrate them with various tools and services in a unified workspace. Proteus solves problems related to AI model management, workflow automation, and goal-oriented task verification, providing a clean and intuitive interface for users to interact with. It accepts inputs from git and other tools, and outputs verified results, making it ideal for use cases that require flexible and customizable AI workflows.

Canonical page: https://skillsregistry.net/skills/muhammadmustafa18-proteus  
JSON: https://api.skillsregistry.net/v1/skills/muhammadmustafa18-proteus

## Description

Proteus is a self-hosted AI workspace with multi-provider LLM support, MCP server integration, tool-calling agents, and a built-in goal/verifier system — all behind a clean dark UI.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/MuhammadMustafa18/proteus)

## 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": "muhammadmustafa18-proteus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/muhammadmustafa18-proteus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/muhammadmustafa18-proteus/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
