# AI-Stack-Doctor

> AI-Stack-Doctor — dwnjuguna-ai-stack-doctor. Use this tool when you need to perform deep health checks on modern AI infrastructure and ensure compliance with various frameworks. It solves problems related to governance auditing, integration, and trend analysis, providing insights across 44 company profiles and 5 regions. The AI-Stack-Doctor tool takes in AI infrastructure data and outputs comprehensive audit reports and trend dashboards, making it ideal for use cases involving MCP integration and compliance monitoring.

Canonical page: https://skillsregistry.net/skills/dwnjuguna-ai-stack-doctor  
JSON: https://api.skillsregistry.net/v1/skills/dwnjuguna-ai-stack-doctor

## Description

Deep health checks for modern AI infrastructure — 44 company profiles across 5 regions, 14 compliance frameworks, governance auditing, MCP integration, and trend dashboard

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **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/dwnjuguna/AI-Stack-Doctor)

## 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": "dwnjuguna-ai-stack-doctor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dwnjuguna-ai-stack-doctor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dwnjuguna-ai-stack-doctor/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
