emar-audio-tools音视频处理工具集。支持以下操作: - 从视频文件中提取音频并保存为 WAV 格式 - 对音频文件按指定开始时间和持续时长进行截取 - 播放指定的视频或音频文件(调用系统默认播放器) - 语音识别转文字(Whisper),输出 JSON 格式(含时间戳、置信度) - 提取音频/视频元数据(码率、采样率、时长、编码等...
Install via ClawdBot CLI:
clawdbot install risehorizon/emar-audio-toolsGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
eval(Calls external URL not in known-safe list
https://ffmpeg.org/download.htmlAudited Apr 22, 2026 · audit v1.0
Generated May 22, 2026
Students or educators can extract audio from video lectures and transcribe it to text using Whisper, creating accurate captions for accessibility. The JSON output with timestamps enables synchronized subtitles.
Podcasters can clip interesting segments from long audio files (e.g., starting at 30s for 60s), extract the clip, and share it on social media. The metadata extraction helps verify audio quality before sharing.
Broadcast engineers can extract metadata (bitrate, sample rate, codec) from audio/video files to ensure they meet broadcast standards. The ffprobe-backed tool provides detailed technical info.
Content creators can quickly play video/audio files in their working directory using the skill's playback command, without leaving the command line. This is useful for previewing edits or verifying files.
Corporate users can transcribe meeting recordings (audio or video) into text for note-taking and search. The skill outputs both JSON and plain text, enabling integration with document management systems.
Offer basic audio extraction, clipping, and playback for free, while charging for advanced features like Whisper transcription (pay-per-use or subscription). Users can upgrade for higher accuracy or larger models.
License the skill to enterprises that need automated media processing pipelines (e.g., for content moderation or archiving). Integration with existing systems via JSON output enables seamless workflow automation.
Offer cloud-hosted transcription using this skill, charging per minute of audio processed. Target customers include podcasters, journalists, and researchers who need high-quality, timestamped transcripts.
💬 Integration Tip
Ensure ffmpeg is installed in D:\workbuddy\skills\audio-tools\bin\ for optimal performance; the skill automatically falls back to moviepy if ffmpeg is missing.
Scored May 22, 2026
Local speech-to-text with the Whisper CLI (no API key).
Transcribe audio files with speaker diarization (who speaks when). Supports 100+ languages, automatic language detection, and timestamps. Use for meetings, interviews, podcasts, or voice messages. Requires AssemblyAI API key.
Search and manage Spotify playlists, tracks, albums, artists, and playback state via the Spotify Web API. Use this skill when users want to search for music,...
使用 poocr 库识别发票并导出 Excel。当用户需要识别增值税发票、批量处理发票文件或提取发票信息到 Excel 时调用此技能。
Transcribe long audio files safely on 16GB RAM machines using auto-chunking with Whisper’s base model and seamless transcript merging.
Use when the user has audio or video and wants a timestamped transcript (SRT) in the source language. Routes by source language — Chinese defaults to Volcano...