# mcp-governance-validation

> mcp-governance-validation — bin-ini-mcp-governance-validation. Use this tool when you need to evaluate and validate the effectiveness of agent governance controls, solving problems related to ensuring reliable and trustworthy AI systems. It provides a framework with six key properties and four experiments to assess governance controls, accepting git inputs and producing validation outputs. Ideal for use cases requiring rigorous testing and falsification of AI governance systems.

Canonical page: https://skillsregistry.net/skills/bin-ini-mcp-governance-validation  
JSON: https://api.skillsregistry.net/v1/skills/bin-ini-mcp-governance-validation

## Description

A framework for evaluating agent governance controls as falsifiable systems — six properties, four experiments, and an invitation to prove it wrong.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/bin-ini/mcp-governance-validation)

## 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": "bin-ini-mcp-governance-validation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bin-ini-mcp-governance-validation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bin-ini-mcp-governance-validation/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