# publisher

> publisher — malloydata-publisher. Use this tool when you need to define and manage data models across multiple applications, and integrate them with version control systems like Git. It solves problems of data model consistency and reuse, allowing for seamless analytics across different platforms. With Publisher, you input data models and output unified, actionable insights that can be used everywhere.

Canonical page: https://skillsregistry.net/skills/malloydata-publisher  
JSON: https://api.skillsregistry.net/v1/skills/malloydata-publisher

## Description

Publisher is the open-source analytics engine for Malloy. It lets you define data models once — and use them everywhere.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/malloydata/publisher)

## 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": "malloydata-publisher"
    }
  }
}
```

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