What makes DD Video Analyzer notable?

957 downloads. Trust evidence available

How should DD Video Analyzer be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

DD Video Analyzer

Download videos, extract transcripts, capture frames. Analyze YouTube, tutorials, DD videos with yt-dlp + Whisper + ffmpeg. Skill: DD Video Analyzer Owner: zedit42 Summary: Download videos, extract transcripts, capture frames. Analyze YouTube, tutorials, DD videos with yt-dlp + Whisper + ffmpeg. Tags: latest:1.0.0 Version history: v1.0.0 | 2026-02-23T23:56:18.285Z | user Initial release: download, transcribe, screenshot videos for DD analysis Archive index: Archive v1.0.0: 7 files, 4764 bytes Files: config.json (214b), package.json (440b)

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

957

Updated

Oct 12, 2026

Version

1.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 957 downloads reported by the source. Last updated 10/12/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 12, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 12, 2026
Adoption signal: 957 downloadsadoption · observed Oct 12, 2026
Latest release: 1.0.0release · observed Feb 23, 2026
Handshake status: UNKNOWNsecurity

What changed

Newest first. Only changes that point at a source are listed.

Release 1.0.0release
Initial release: download, transcribe, screenshot videos for DD analysis
Observed Feb 23, 2026 · source

Install and run

Setup complexity: low.

clawhub skill install s170m7v3rpycjvwkcq2rnpzbfs885e34:dd-video-analyzer

Node.js workspace detected. Install dependencies securely: run `npm ci --ignore-scripts` to prevent post-install lifecycle triggers from running arbitrary code, then selectively audit the dependency tree.
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-zedit42-dd-video-analyzer/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

4,763 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: video-watcher
description: Download videos, extract transcripts, capture frames. Analyze YouTube, tutorials, DD videos with yt-dlp + Whisper + ffmpeg.
metadata: {"clawdbot":{"requires":{"bins":["yt-dlp","ffmpeg","whisper"]}}}
---

# Video Watcher

Download, transcribe, and screenshot videos for analysis.

## Requirements

```bash
brew install yt-dlp ffmpeg openai-whisper
```

## Quick Start

```bash
./scripts/analyze.sh "https://youtube.com/watch?v=..."
```

## Output

```
outputs/
├── video.mp4           # Downloaded video
├── audio.mp3           # Extracted audio
├── transcript.txt      # Plain text
├── transcript.srt      # Subtitles
└── frames/             # Screenshots every 30s
```

## Commands

### Analyze video
```bash
./scripts/analyze.sh "URL" [output-dir] [frame-interval] [whisper-model]
```

### Summarize transcript
```bash
./scripts/summarize.sh ./outputs/transcript.txt
```

Or with AI:
```bash
cat outputs/transcript.txt | clawdbot ask "Summarize this"
```

## Config

`config.json`:
```json
{
  "whisper_model": "medium",
  "frame_interval": 30,
  "output_dir": "./outputs"
}
```

## Use Cases

- DD (Due Diligence) videos
- Lecture notes
- Podcast summaries
- Tutorial documentation
- Meeting recordings

README.md

# 🎬 Video Watcher

Download videos, extract transcripts, capture frames. Perfect for analyzing DD videos, tutorials, podcasts.

## Features

- **Download** - YouTube, Vimeo, most video sites (via yt-dlp)
- **Transcribe** - Local speech-to-text (via Whisper)
- **Frames** - Screenshot every N seconds (via ffmpeg)
- **Summarize** - AI-ready transcript for quick summaries

## Requirements

```bash
brew install yt-dlp ffmpeg openai-whisper
```

## Quick Start

```bash
./scripts/analyze.sh "https://youtube.com/watch?v=..."
```

## Output

```
outputs/
├── video.mp4           # Downloaded video
├── audio.mp3           # Extracted audio
├── transcript.txt      # Plain text transcript
├── transcript.srt      # Subtitle format
└── frames/             # Screenshots
    ├── 00_00_00.jpg    # At 0:00
    ├── 00_00_30.jpg    # At 0:30
    └── ...
```

## Configuration

`config.json`:
```json
{
  "whisper_model": "medium",
  "frame_interval": 30,
  "output_dir": "./outputs",
  "languages": ["en", "tr"]
}
```

### Whisper Models
- `tiny` - Fastest, least accurate
- `base` - Fast
- `small` - Balanced
- `medium` - Good accuracy (recommended)
- `large` - Best accuracy, slow

## Usage Examples

### Analyze a YouTube video
```bash
./scripts/analyze.sh "https://youtube.com/watch?v=xyz"
```

### Custom output directory
```bash
./scripts/analyze.sh "URL" ./my-output
```

### Different frame interval (every 60 seconds)
```bash
./scripts/analyze.sh "URL" ./output 60
```

### Use larger Whisper model
```bash
./scripts/analyze.sh "URL" ./output 30 large
```

## Summarize Transcript

After analysis:
```bash
./scripts/summarize.sh ./outputs/transcript.txt
```

Or pipe to your AI:
```bash
cat outputs/transcript.txt | clawdbot ask "Summarize this video"
```

## Use Cases

- DD (Due Diligence) video analysis
- Lecture notes extraction
- Podcast summaries
- Tutorial documentation
- Meeting recordings

## Notes

- First Whisper run downloads the model (~1.5GB for medium)
- Long videos = long transcription time
- Frame extraction is fast, transcription is slow

_meta.json

{
  "ownerId": "kn7ceb1y530x51472dca60vr1s80sn9r",
  "slug": "dd-video-analyzer",
  "version": "1.0.0",
  "publishedAt": 1771890978285
}

config.json

{
  "whisper_model": "medium",
  "frame_interval": 30,
  "output_dir": "./outputs",
  "video_format": "mp4",
  "audio_format": "mp3",
  "max_duration": 7200,
  "languages": ["tr", "en"],
  "cleanup_after": false
}

package.json

{
  "name": "video-watcher",
  "version": "1.0.0",
  "description": "Download videos, extract transcripts, capture frames. Analyze YouTube, tutorials, DD videos with yt-dlp + Whisper + ffmpeg.",
  "author": "Zedit42",
  "keywords": ["video", "transcript", "whisper", "youtube", "analysis", "yt-dlp", "ffmpeg", "clawdbot"],
  "license": "MIT",
  "repository": {
    "type": "git",
    "url": "https://github.com/Zedit42/video-watcher"
  }
}

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