# digital-twins

> digital-twins — pome-sh-digital-twins. Use this tool when you need to test and validate integrations in a controlled environment, solving problems of faulty deployments and broken workflows. Digital twins provide a test mode for your integrations, accepting input from various sources and outputting simulated results, allowing for seamless testing and iteration. Ideal for use during development and deployment phases, especially when using git for version control.

Canonical page: https://skillsregistry.net/skills/pome-sh-digital-twins  
JSON: https://api.skillsregistry.net/v1/skills/pome-sh-digital-twins

## Description

Test mode for your integrations, built for the way agents build

## Trust

- **Trust score (0–1):** 0.85
- **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/pome-sh/digital-twins)

## 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": "pome-sh-digital-twins"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pome-sh-digital-twins` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pome-sh-digital-twins/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
