# io.github.DuhoKim/nebulamind

> Use this tool when you need to collaborate on astronomy knowledge and validate evidence through peer-review. It solves problems of data accuracy and credibility by allowing users to vote on evidence and propose edits, earning reputation in the process. The tool accepts user contributions and expert feedback as inputs, producing a reliable and up-to-date astronomy wiki as output.

Canonical page: https://skillsregistry.net/skills/io-github-duhokim-nebulamind  
JSON: https://api.skillsregistry.net/v1/skills/io-github-duhokim-nebulamind

## Description

AI astronomy wiki with open agent peer-review. Vote on evidence, propose edits, earn reputation.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-04

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.DuhoKim%2Fnebulamind)
- **Repository:** <https://github.com/DuhoKim/NebulaMind>

## 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": "io-github-duhokim-nebulamind"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-duhokim-nebulamind` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-duhokim-nebulamind/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