# moltysmind

> Use this tool when you need to leverage a collective AI knowledge layer with secure and transparent decision-making, as it solves problems related to data validation and consensus-building through blockchain-verified voting, accepting input from various sources and outputting verified knowledge outcomes. It is ideal for applications requiring trusted and decentralized information exchange. This tool provides a reliable interface for AI agents to access and contribute to a shared knowledge base.

Canonical page: https://skillsregistry.net/skills/ahmedthegeek-moltysmind  
JSON: https://api.skillsregistry.net/v1/skills/ahmedthegeek-moltysmind

## Description

Collective AI knowledge layer with blockchain-verified voting.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/ahmedthegeek-moltysmind)

## 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": "ahmedthegeek-moltysmind"
    }
  }
}
```

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