# dingdawg-governance

> Use this tool when you need to establish a universal governance layer for AI agents, ensuring fail-closed security and transparent interpretability. It solves problems of accountability and trust by providing governed receipts, IPFS audit proofs, and rollback capabilities for any agent in any framework. This tool is ideal for use cases requiring secure, transparent, and auditable AI decision-making.

Canonical page: https://skillsregistry.net/skills/dingdawg-governance-sdk  
JSON: https://api.skillsregistry.net/v1/skills/dingdawg-governance-sdk

## Description

Universal governance layer for AI agents — MCP-native,
fail-closed, LNN interpretability. Governed receipts, IPFS audit proofs, and
rollback for any agent in any framework.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f216lrifra)
- **Repository:** <https://github.com/dingdawg/governance-sdk>

## 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": "dingdawg-governance-sdk"
    }
  }
}
```

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