# GIA Governance

> Use this tool when you need to govern and control your AI workforce with a centralized platform, solving compliance and risk management problems across multiple vendors and regulatory frameworks, including NIST, CMMC, and EU AI Act. It provides inputs for AI decision classification, compliance scoring, and risk assessment, and outputs audited and governed AI actions through a single contract. Ideal for enterprises requiring robust AI governance and compliance management.

Canonical page: https://skillsregistry.net/skills/knowledgepa3-gia-governance  
JSON: https://api.skillsregistry.net/v1/skills/knowledgepa3-gia-governance

## Description

AI workforce governance control plane. 29 governed MCP tools for decision classification (MAI framework), compliance scoring, audit chain verification, risk assessment, and multi-vendor AI governance. Built for enterprise AI compliance including NIST 800-53, CMMC 2.0, EU AI Act, and SOC 2. Every AI action is classified, audited, and governed through one contract.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/knowledgepa3/gia-governance)

## 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": "knowledgepa3-gia-governance"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/knowledgepa3-gia-governance` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/knowledgepa3-gia-governance/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