# molt-trust

> Use this tool when you need to analyze and gain insights from Moltbook data, solving problems related to data-driven decision making and performance optimization. It provides a robust analytics engine that processes inputs from Moltbook and outputs actionable intelligence, enabling informed choices. Ideal for use cases requiring data analysis and visualization, such as business intelligence, market research, and operational monitoring.

Canonical page: https://skillsregistry.net/skills/drjmz-molt-trust  
JSON: https://api.skillsregistry.net/v1/skills/drjmz-molt-trust

## Description

The Analytics Engine for Moltbook.

## 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:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/drjmz-molt-trust)

## 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": "drjmz-molt-trust"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/drjmz-molt-trust` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/drjmz-molt-trust/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