# tubelab-api

> tubelab-api — antoniojps-tubelab-api. Use this tool when you need to analyze YouTube data or conduct research on YouTube channels and videos. The tubelab-api provides core functionality for retrieving YouTube analytics, solving problems such as tracking video performance, identifying trends, and informing content strategies. It accepts query inputs and returns relevant data outputs, making it ideal for use cases requiring YouTube data insights, such as marketing research or social media monitoring.

Canonical page: https://skillsregistry.net/skills/antoniojps-tubelab-api  
JSON: https://api.skillsregistry.net/v1/skills/antoniojps-tubelab-api

## Description

YouTube analytics and research API.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** social-media
- **Updated:** 2026-09-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/antoniojps-tubelab-api)

## 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": "antoniojps-tubelab-api"
    }
  }
}
```

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