# Comad World

> Use this tool when you need to build a personalized knowledge base by aggregating and organizing information from various sources, such as RSS feeds, research papers, and GitHub repositories. It solves problems of information overload and knowledge discovery by constructing searchable knowledge graphs with entity scoring and community detection. The Comad World system takes in diverse data sources and outputs a Neo4j knowledge graph, making it ideal for applications requiring complex information retrieval and analysis.

Canonical page: https://skillsregistry.net/skills/kinkos1234-comad-world  
JSON: https://api.skillsregistry.net/v1/skills/kinkos1234-comad-world

## Description

Modular AI agent system that builds personal knowledge systems by crawling RSS feeds, papers, and GitHub repositories. Constructs searchable Neo4j knowledge graphs with GraphRAG retrieval, entity confidence scoring, and community detection across multiple specialized agent modules.

## Trust

- **Trust score (0–1):** 0.31
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kinkos1234-comad-world)
- **Repository:** <https://github.com/kinkos1234/comad-world>

## 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": "kinkos1234-comad-world"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kinkos1234-comad-world` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kinkos1234-comad-world/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