# yavio

> yavio — teamyavio-yavio. Use this tool when you need to analyze and gain visibility into ChatGPT and MCP apps, providing insights into their performance and usage. It solves problems related to app monitoring, debugging, and optimization, offering a clear understanding of app behavior. With git integration, yavio accepts app data as input and outputs actionable analytics and visibility metrics.

Canonical page: https://skillsregistry.net/skills/teamyavio-yavio  
JSON: https://api.skillsregistry.net/v1/skills/teamyavio-yavio

## Description

The Open Source Analytics and Visibility Layer for ChatGPT Apps and MCP Apps.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** data-analytics
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/teamyavio/yavio)

## 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": "teamyavio-yavio"
    }
  }
}
```

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