# videoanalyzer

> videoanalyzer — zedit42-videoanalyzer. Use this tool when you need to analyze video content, as it downloads videos, extracts transcripts, and captures frames, solving problems such as video data extraction and content review. It takes video URLs or files as input and outputs transcripts and frame captures, making it ideal for use cases like video research, content moderation, and media analysis. This tool is particularly useful when you need to quickly extract insights from video data without manually watching each video.

Canonical page: https://skillsregistry.net/skills/zedit42-videoanalyzer  
JSON: https://api.skillsregistry.net/v1/skills/zedit42-videoanalyzer

## Description

Download videos, extract transcripts, capture frames.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-09-24

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/zedit42-videoanalyzer)

## 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": "zedit42-videoanalyzer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zedit42-videoanalyzer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zedit42-videoanalyzer/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