# moses

> moses — sunrisesillneversee-moses. Use this tool when you need to evaluate and operate enterprise AI systems, solving problems related to AI operator performance and efficiency. It provides a marketing site and MCP server, accepting git inputs and outputting operator evaluation results. Ideal for use cases requiring standardized AI operator assessments, such as enterprise IT and technology development contexts.

Canonical page: https://skillsregistry.net/skills/sunrisesillneversee-moses  
JSON: https://api.skillsregistry.net/v1/skills/sunrisesillneversee-moses

## Description

MO§ES™ — Enterprise AI Operator Evaluations. Marketing site + MCP server. mos2es.org

## Trust

- **Trust score (0–1):** 0.98
- **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/SunrisesIllNeverSee/moses)

## 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": "sunrisesillneversee-moses"
    }
  }
}
```

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

---
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