# aurora-lens

> aurora-lens — aniruddhaadak80-aurora-lens. Use this tool when you need to monitor and analyze live solar storm and seismic activity, leveraging NOAA and USGS feeds to inform operational decisions. The aurora-lens provides a deterministic risk engine and MCP agent tools, with secure hash-chained seals for data integrity. Ideal for applications requiring real-time geophysical event tracking and risk assessment.

Canonical page: https://skillsregistry.net/skills/aniruddhaadak80-aurora-lens  
JSON: https://api.skillsregistry.net/v1/skills/aniruddhaadak80-aurora-lens

## Description

Live solar-storm + seismic ops globe: NOAA/USGS feeds, deterministic risk engine, MCP agent tools, hash-chained seals.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/aniruddhaadak80/aurora-lens)

## 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": "aniruddhaadak80-aurora-lens"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aniruddhaadak80-aurora-lens` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aniruddhaadak80-aurora-lens/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