# hive-mcp-audit-readiness

> hive-mcp-audit-readiness — srotzin-hive-mcp-audit-readiness. Use this tool when you need to assess and improve your AI system's compliance with multi-jurisdictional regulations, computing readiness scores and identifying gaps through sourced penalty math. It provides output in the form of compliance scores, gap analysis, and audit tier recommendations, taking in inputs such as regulatory requirements and system data. This tool is ideal for organizations seeking to ensure AI audit readiness and mitigate potential penalties across various jurisdictions.

Canonical page: https://skillsregistry.net/skills/srotzin-hive-mcp-audit-readiness  
JSON: https://api.skillsregistry.net/v1/skills/srotzin-hive-mcp-audit-readiness

## Description

Computes multi-jurisdictional AI compliance readiness scores with sourced penalty math, enabling gap analysis and audit tier recommendations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/resmvxb6r8)
- **Repository:** <https://github.com/srotzin/hive-mcp-audit-readiness>

## 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": "srotzin-hive-mcp-audit-readiness"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/srotzin-hive-mcp-audit-readiness` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/srotzin-hive-mcp-audit-readiness/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