# cloud-command

> Use this tool when you need to dynamically manage AWS EC2 instances or run remote commands on existing instances. It solves problems such as automating infrastructure deployment, scaling, and maintenance, and allows for interactive shell access to instances. The cloud-command tool takes input parameters like instance type, commands, and credentials, and outputs instance status, command results, and error messages.

Canonical page: https://skillsregistry.net/skills/androsh7-cloud-command  
JSON: https://api.skillsregistry.net/v1/skills/androsh7-cloud-command

## Description

Enables LLMs to create, destroy, and manage AWS EC2 instances, including running commands via interactive shells.

## Trust

- **Trust score (0–1):** 0.66
- **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/a70vplbklc)
- **Repository:** <https://github.com/Androsh7/cloud_command>

## 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": "androsh7-cloud-command"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/androsh7-cloud-command` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/androsh7-cloud-command/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