# canonic

> canonic — mischuh-canonic. Use this tool when you need to standardize and manage data agent interactions, providing a unified context layer for seamless integration and collaboration. Canonic solves problems of data inconsistency and agent compatibility, enabling efficient data exchange and processing. It accepts git-based inputs and outputs standardized data formats, ideal for use cases requiring data harmonization and agent orchestration.

Canonical page: https://skillsregistry.net/skills/mischuh-canonic  
JSON: https://api.skillsregistry.net/v1/skills/mischuh-canonic

## Description

The Open Context Layer for Data Agents

## Trust

- **Trust score (0–1):** 0.78
- **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/mischuh/canonic)

## 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": "mischuh-canonic"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mischuh-canonic` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mischuh-canonic/pull`

---
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