# mcp-foresea

> Use this tool when you need to generate calibrated probability forecasts for uncertain events or questions, leveraging evidence and prediction market insights to inform decision-making. It solves problems of uncertainty and risk assessment, providing a reliable edge in forecasting with live resolved track records. The tool takes in resolvable questions as input and outputs probabilistic forecasts with supporting evidence.

Canonical page: https://skillsregistry.net/skills/pareelamre-analyzing-llm-rationale  
JSON: https://api.skillsregistry.net/v1/skills/pareelamre-analyzing-llm-rationale

## Description

Calibrated probability forecasts for any resolvable question — with evidence, prediction-market edge (Polymarket/Kalshi), and a live resolved track record.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x1b7pq43qd)
- **Repository:** <https://github.com/pareelamre/analyzing-llm-rationale>

## 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": "pareelamre-analyzing-llm-rationale"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pareelamre-analyzing-llm-rationale` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pareelamre-analyzing-llm-rationale/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