# crystal-ball

> crystal-ball — bradleybond512-crystal-ball. Use this tool when you need to analyze complex data and predict outcomes with explainable AI, leveraging a 3D globe interface, real-time panels, and advanced algorithms for truth scoring and risk assessment. It solves problems related to data visualization, predictive modeling, and decision-making, providing outputs such as forecast calibrations and evidence graphs. Ideal for use cases requiring in-depth insights and contextual understanding, such as shortage and weather forecasting, with inputs from various data sources and outputs in the form of actionable intelligence.

Canonical page: https://skillsregistry.net/skills/bradleybond512-crystal-ball  
JSON: https://api.skillsregistry.net/v1/skills/bradleybond512-crystal-ball

## Description

Tauri 2 desktop intelligence platform — Cesium.js 3D globe, 185 live panels, MCP server for Claude Code, and an explainable algorithm intelligence layer (truth scoring, evidence graph, compound risk, forecast calibration) plus shortage / weather / insights engines. 600+ deterministic tests.

## Trust

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

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/bradleybond512/crystal-ball)

## 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": "bradleybond512-crystal-ball"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bradleybond512-crystal-ball` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bradleybond512-crystal-ball/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