# WEATHGARDS

> Use this tool when you need to integrate remote Large Language Models (LLMs) with local system resources, enabling real-time querying of Docker containers, OS processes, and system services. It solves problems related to accessing and monitoring local environments from remote AI models, providing a seamless interface for data exchange. By using WEATHGARDS, you can leverage MCP tools to fetch real-time data from local systems, facilitating informed decision-making and automation.

Canonical page: https://skillsregistry.net/skills/liamdbav-weathgards  
JSON: https://api.skillsregistry.net/v1/skills/liamdbav-weathgards

## Description

Exposes MCP tools that enable remote LLMs to query local Docker containers, OS processes, and system services in real time.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sp2x9ckujr)
- **Repository:** <https://github.com/liambuild/WEATHGARDS>

## 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": "liamdbav-weathgards"
    }
  }
}
```

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