# protocol-enforcer-core

> protocol-enforcer-core — gmhelmold-protocol-enforcer-core. Use this tool when you need to enforce deterministic state-machine protocols for AI agents, ensuring compliance and transparency through notarized transcripts. It solves problems related to protocol adherence and auditing, providing a passive and reliable enforcement mechanism. Ideal for use cases requiring step-by-step protocol execution and verification, with inputs from AI agents and outputs of notarized transcripts.

Canonical page: https://skillsregistry.net/skills/gmhelmold-protocol-enforcer-core  
JSON: https://api.skillsregistry.net/v1/skills/gmhelmold-protocol-enforcer-core

## Description

Passive, deterministic MCP state-machine enforcer for AI agents — reveals one bounded step at a time, notarized transcripts (Apache-2.0 core)

## Trust

- **Trust score (0–1):** 0.51
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/gmhelmold/protocol-enforcer-core)

## 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": "gmhelmold-protocol-enforcer-core"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gmhelmold-protocol-enforcer-core` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gmhelmold-protocol-enforcer-core/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