benchflow-ai/skillsbench/audio-extractor

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Extract audio from video files to WAV format. Use when you need to analyze audio from video, prepare audio for energy calculation, or convert video audio to standard format for processing.

Install

npx vskill@latest install benchflow-ai/skillsbench/audio-extractor

SKILL.md

Audio Extractor

Extracts audio from video files to WAV format for further analysis. Converts to mono 16kHz PCM format optimized for speech/energy analysis.

Use Cases

  • Extracting audio for speech analysis
  • Preparing audio for energy calculation
  • Converting video audio to standard format

Usage

bash
python3 /root/.claude/skills/audio-extractor/scripts/extract_audio.py \
    --video /path/to/video.mp4 \
    --output /path/to/audio.wav
Parameters
  • --video: Path to input video file
  • --output: Path to output WAV file
  • --sample-rate: Audio sample rate in Hz (default: 16000)
  • --duration: Optional duration limit in seconds (default: full video)
Output Format
  • Format: WAV (PCM 16-bit signed)
  • Channels: Mono
  • Sample rate: 16000 Hz (default)

Dependencies

  • ffmpeg

Example

bash
# Extract first 10 minutes of audio
python3 /root/.claude/skills/audio-extractor/scripts/extract_audio.py \
    --video lecture.mp4 \
    --duration 600 \
    --output audio.wav

Notes

  • Output is always mono for consistent analysis
  • 16kHz sample rate is sufficient for speech analysis and reduces file size
  • Supports any video format that ffmpeg can read

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

See the full security report

Quality evaluation

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Source

Popularity

Repository stars
1,770
Repository forks
367
7-day trend score
37

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 13 Sep 2026, a month ago.

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