# moltguess

> Use this tool when you need to generate accurate predictions or forecasts based on given data, solving problems related to uncertainty and decision-making under risk. Moltguess provides professional forecasting capabilities, taking in historical data and trends as inputs and producing reliable predictions as outputs. It is ideal for use cases where informed decisions rely on anticipated outcomes, such as business planning, resource allocation, or strategic development.

Canonical page: https://skillsregistry.net/skills/nwx77-moltguess  
JSON: https://api.skillsregistry.net/v1/skills/nwx77-moltguess

## Description

- **Role**: Professional Forecaster.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/nwx77-moltguess)

## 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": "nwx77-moltguess"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nwx77-moltguess` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nwx77-moltguess/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
