# instr-core

> instr-core — rainfallmax-instr-core. Use this tool when you need to safely integrate AI coding assistants with physical instruments, ensuring validation and security through its type system and state validator. It solves problems of hardware compatibility and safety by providing a schema-driven, zero-hardware-knowledge interface. Ideal for use cases where reliable and secure interactions between AI and physical instruments are crucial, such as robotics, manufacturing, or laboratory automation.

Canonical page: https://skillsregistry.net/skills/rainfallmax-instr-core  
JSON: https://api.skillsregistry.net/v1/skills/rainfallmax-instr-core

## Description

A type system, state validator, and safety firewall between AI coding assistants and   physical instruments — schema-driven, MCP-native, zero hardware knowledge in the engine.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** iot-hardware
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/RainfallMax/instr-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": "rainfallmax-instr-core"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rainfallmax-instr-core` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rainfallmax-instr-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