# Starlight-Intelligence-System

> Starlight-Intelligence-System — frankxai-starlight-intelligence-system. Use this tool when you need to integrate and orchestrate multiple AI systems, such as Claude Code, Codex, and Gemini, to manage memory, skills, and governance across various platforms. It solves problems of complexity and fragmentation in AI system management, providing a unified substrate for evaluation and optimization. With git capabilities, it accepts code repositories as input and outputs streamlined AI system governance and performance.

Canonical page: https://skillsregistry.net/skills/frankxai-starlight-intelligence-system  
JSON: https://api.skillsregistry.net/v1/skills/frankxai-starlight-intelligence-system

## Description

Sovereign AI substrate for memory, orchestration, skills, governance, and evals across Claude Code, Codex, Cursor, Gemini, and Antigravity.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## 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/frankxai/Starlight-Intelligence-System)

## 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": "frankxai-starlight-intelligence-system"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/frankxai-starlight-intelligence-system` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/frankxai-starlight-intelligence-system/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