# ask-the-forecast

> ask-the-forecast — jediasaf-ask-the-forecast. Use this tool when you need to generate and evaluate forecasting plans using a large language model (LLM) and backtesting capabilities. It solves problems related to predicting outcomes and analyzing failures by providing structured output and measured evaluations. Ideal for use cases requiring strict tooling and Git integration for version control and collaboration.

Canonical page: https://skillsregistry.net/skills/jediasaf-ask-the-forecast  
JSON: https://api.skillsregistry.net/v1/skills/jediasaf-ask-the-forecast

## Description

LLM planning agent over a forecasting backtest — strict tools, structured output, measured eval with failure analysis

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/jediasaf/ask-the-forecast)

## 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": "jediasaf-ask-the-forecast"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jediasaf-ask-the-forecast` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jediasaf-ask-the-forecast/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