# ai.kaiv/docker-facts

> ai.kaiv/docker-facts — ai-kaiv-docker-facts. Use this tool when you need to verify the existence of Docker tags, retrieve real-time information on tag sizes, and check supported platforms directly from Docker Hub. It solves problems related to Docker image management, such as avoiding non-existent or outdated tags, and provides inputs like tag names and outputs like tag availability and size. Use it when working with Docker images to ensure accuracy and efficiency in your development workflow.

Canonical page: https://skillsregistry.net/skills/ai-kaiv-docker-facts  
JSON: https://api.skillsregistry.net/v1/skills/ai-kaiv-docker-facts

## Description

Does that Docker tag actually exist? Real tags, sizes and platforms, live from Docker Hub.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-04

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.kaiv%2Fdocker-facts)

## Use it

MCP endpoint published by the skill: `https://api.kaiv.ai/api/bridge/mcp/docker-facts-adc41b39`

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": "ai-kaiv-docker-facts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-kaiv-docker-facts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-kaiv-docker-facts/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