# HL7-HSRA_E2-SysMLv2Repository

> HL7-HSRA_E2-SysMLv2Repository — slotti64-hl7-hsra-e2-sysmlv2repository. Use this tool when you need to manage and reuse SysML v2 models, or require a centralized repository for implemented systems and specifications. It solves problems of model fragmentation and inaccessibility by exposing standard APIs and utilizing the Model Context Protocol (MCP). The tool accepts SysML v2 models as input and provides a curated knowledge base as output, ideal for use cases involving system design, implementation, and reuse.

Canonical page: https://skillsregistry.net/skills/slotti64-hl7-hsra-e2-sysmlv2repository  
JSON: https://api.skillsregistry.net/v1/skills/slotti64-hl7-hsra-e2-sysmlv2repository

## Description

The system purpose is to realize a SysML v2 model repository exposing standard APIs and to make the repository accessible through the Model Context Protocol (MCP). The end goal is a curated knowledge base of implemented systems and reusable specification.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** GPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/slotti64/HL7-HSRA_E2-SysMLv2Repository)

## 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": "slotti64-hl7-hsra-e2-sysmlv2repository"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/slotti64-hl7-hsra-e2-sysmlv2repository` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/slotti64-hl7-hsra-e2-sysmlv2repository/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