Auto-Pilot
Updated a month ago

yt-dlp-skill

Llwmxiaobei
0.0k
lwmxiaobei/yt-dlp-skill
72
Agent Score

💡 Summary

An AI agent skill that automatically detects and downloads videos or extracts audio from various platforms using yt-dlp.

🎯 Target Audience

Content curators and researchersPodcasters and musicians needing audio samplesEducators creating offline learning materialsSocial media managers archiving campaign contentIndividuals with poor internet connectivity

🤖 AI Roast:It's a glorified wrapper for yt-dlp that adds auto-detection, but the real skill is navigating the legal gray area of downloading content.

Security AnalysisLow Risk

The skill executes shell commands via yt-dlp to download arbitrary files from the internet, posing risks from malicious URLs or compromised dependencies. Mitigation: Run the agent in a sandboxed environment with restricted network and filesystem access, and regularly audit the yt-dlp dependency supply chain.


name: yt-dlp description: Download videos and extract audio from various platforms using yt-dlp. Use when user provides a video URL, asks to download a video, or when conversation contains video links from YouTube, Twitter/X, Vimeo, TikTok, Instagram, etc.

yt-dlp Video Downloader Skill

This skill provides tools for downloading videos and extracting audio from various platforms using yt-dlp.

Features

  • Download videos from multiple platforms (YouTube, Twitter/X, Vimeo, TikTok, Instagram, Facebook, etc.)
  • Extract audio from videos
  • Auto-detect video URLs in conversations
  • Support for different quality settings and formats

Usage Patterns

1. Command-based Download

When user explicitly asks to download a video:

User: Download this video https://youtube.com/watch?v=...

Action: Extract URL and call download script

2. Auto-detection in Conversations

When conversation contains video URLs:

User: Check out this video https://twitter.com/... and let me know what you think

Action: Detect video URL, ask user if they want to download it

3. Audio Extraction

When user wants to extract audio only:

User: Extract the audio from https://youtu.be/...

Action: Use audio extraction script

Available Scripts

Note: Scripts are located in the scripts/ directory

download_video.py

Main video downloader with quality and format options.

Usage:

# Download video scripts/download_video.py <url> -o <output_dir> # Download with specific quality scripts/download_video.py <url> --quality 720p scripts/download_video.py <url> --quality audio # For audio only # Custom format selector scripts/download_video.py <url> --format "bestvideo[height<=1080]+bestaudio/best" # Extract info only scripts/download_video.py <url> --info-only

Quality options: best, 1080p, 720p, 480p, audio

extract_audio.py

Extract audio from videos in various formats.

Usage:

# Extract as MP3 (default) /scripts/extract_audio.py <url> -o <output_dir> # Extract as M4A /scripts/extract_audio.py <url> --format m4a # Custom quality /scripts/extract_audio.py <url> --quality 320

Formats: mp3, m4a, opus, flac, wav

extract_urls.py

Extract video URLs from text or files.

Usage:

# Extract from text argument /scripts/extract_urls.py "Check https://youtube.com/watch?v=..." # Extract from file /scripts/extract_urls.py <file_path> # Read from stdin cat file.txt | /scripts/extract_urls.py

Video Platform Support

The skill recognizes URLs from:

  • YouTube (youtube.com, youtu.be)
  • Twitter/X (twitter.com, x.com)
  • Vimeo (vimeo.com)
  • TikTok (tiktok.com)
  • Instagram (instagram.com)
  • Facebook (facebook.com, fb.watch)
  • Twitch (twitch.tv, clips.twitch.tv)
  • Dailymotion (dailymotion.com)
  • Reddit (reddit.com)
  • Streamable (streamable.com)
  • And many more supported by yt-dlp

Workflow

When User Provides Video URL

  1. Extract URL from user's input using extract_urls.py
  2. Confirm with user what action to take:
    • Download video
    • Extract audio
    • Show video info
  3. Execute appropriate script based on user's choice
  4. Notify user of success/failure and file location

When Auto-detecting URLs

  1. Scan conversation text with extract_urls.py (can process stdin)
  2. If video URLs found, ask user: "I found video URLs in this conversation. Would you like me to download them?"
  3. If yes, proceed with download workflow
  4. If no, continue with conversation

Handling Multiple URLs

  • For single URL: Direct download
  • For multiple URLs: Ask user if they want to download all or select specific ones
  • Provide option to download as playlist if URLs are from the same source

Quality and Format Selection

When user doesn't specify preferences:

  • Default to best available quality
  • For audio: Default to MP3 at 192kbps

When options needed:

# Ask user for quality preference if not specified # Options: best (default), 1080p, 720p, 480p, audio # Ask for format if extracting audio # Options: mp3 (default), m4a, opus, flac, wav

Error Handling

Common issues and solutions:

  1. yt-dlp not installed:

    • Check with yt-dlp --version
    • Install with pip install yt-dlp or brew install yt-dlp
  2. ffmpeg not installed (required for format conversion):

    • Install with brew install ffmpeg (macOS)
    • Or apt install ffmpeg (Linux)
  3. Video not available:

    • Check if URL is accessible
    • Some videos may require authentication
    • Age-restricted content may need cookies
  4. Network errors:

    • Retry download
    • Check internet connection

Dependencies

  • yt-dlp: Main video downloader
  • ffmpeg: Audio/video processing (required for format conversion)
  • python3 with standard library

All scripts are self-contained and use only built-in Python modules.

5-Dim Analysis
Clarity8/10
Novelty4/10
Utility9/10
Completeness7/10
Maintainability8/10
Pros & Cons

Pros

  • High utility with broad platform support
  • Clear workflow for auto-detection and user confirmation
  • Flexible quality and format options for downloads

Cons

  • Legal and copyright risks are not addressed
  • Heavily dependent on external yt-dlp tool and its maintenance
  • No built-in dependency management or installation script

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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author lwmxiaobei.