# testweather

> Use this tool when you need to retrieve or analyze weather data, solve problems related to climate or meteorological conditions, or integrate weather information into your projects. It accepts location or date inputs and provides corresponding weather outputs. Ideal for use cases involving environmental monitoring, forecasting, or research, where git version control is also utilized.

Canonical page: https://skillsregistry.net/skills/kikakika-testweather  
JSON: https://api.skillsregistry.net/v1/skills/kikakika-testweather

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** maps-location
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/kikakika/testweather)

## 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": "kikakika-testweather"
    }
  }
}
```

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