Audio
Process, enhance, and convert audio files with noise removal, normalization, format conversion, transcription, and podcast workflows.
MIT-0 · Free to use, modify, and redistribute. No attribution required.
⭐ 2 · 863 · 3 current installs · 3 all-time installs
byIván@ivangdavila
MIT-0
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (audio processing, noise removal, normalization, format conversion, transcription, podcast workflows) match the declared requirements (ffmpeg, ffprobe) and the provided command examples. Optional tools (sox, whisper, demucs) are appropriate for the advanced features the skill describes.
Instruction Scope
SKILL.md and the included docs instruct the agent to run FFmpeg/SoX/Whisper commands on user-provided files, inspect files with ffprobe, and run batch scripts. This is within scope. The docs also include examples of using external APIs (AssemblyAI) and diarization tools that require tokens—these are explicit, optional, and consistent with transcription use cases, but they do introduce network interactions if the user chooses them.
Install Mechanism
Instruction-only skill with no install spec or downloaded code. That minimizes disk-write and supply-chain risk; the only runtime requirement is that the environment has the declared binaries installed.
Credentials
The skill declares no required environment variables or credentials. Optional examples mention API tokens (AssemblyAI, Hugging Face) only where those services are used. There are no unrelated secrets requested.
Persistence & Privilege
always is false and the skill contains no installation steps or actions that modify other skills or system-wide agent settings. The included batch scripts operate on files in the working directory (expected for a file-processing skill).
Assessment
This skill is a documentation-only helper for running FFmpeg/Whisper-style audio workflows and appears coherent with its purpose. Before using: (1) ensure ffmpeg and ffprobe are installed from trusted packages, (2) review any shell snippets (especially batch scripts) before running them to avoid accidental mass changes to files in the current directory, (3) be aware optional transcription/diarization examples call external APIs and require API keys — only provide those keys if you trust the service, and (4) confirm how your agent is allowed to access files/network (if the agent has broad file or network privileges, treat any automated commands cautiously). If you want a lower-risk test, run commands on a disposable/sample file or in a sandboxed environment first.Like a lobster shell, security has layers — review code before you run it.
Current versionv1.0.1
Download ziplatest
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🔊 Clawdis
OSLinux · macOS · Windows
Binsffmpeg, ffprobe
SKILL.md
Requirements
Required:
ffmpeg/ffprobe— core audio processing
Optional (for advanced features):
sox— additional noise reductionwhisper— local transcription (or use API)demucs— stem separation
Quick Reference
| Situation | Load |
|---|---|
| FFmpeg commands by task | commands.md |
| Loudness standards by platform | loudness.md |
| Podcast production workflow | podcast.md |
| Transcription workflow | transcription.md |
Core Capabilities
| Task | Method |
|---|---|
| Convert formats | FFmpeg (-acodec) |
| Remove noise | FFmpeg filters or SoX |
| Normalize loudness | ffmpeg-normalize or -af loudnorm |
| Transcribe | Whisper → text, SRT, VTT |
| Separate stems | Demucs (vocals, drums, bass, other) |
Execution Pattern
- Clarify goal — What format? What loudness? What platform?
- Analyze source —
ffprobefor codec, sample rate, channels, duration - Process — FFmpeg/SoX for transformation
- Verify — Check output plays, meets specs, sounds correct
- Deliver — Provide file to user
Common Requests → Actions
| User says | Agent does |
|---|---|
| "Convert to MP3" | -acodec libmp3lame -q:a 2 |
| "Remove background noise" | Apply highpass/lowpass or dedicated denoiser |
| "Normalize for podcast" | -af loudnorm=I=-16:TP=-1.5:LRA=11 |
| "Transcribe this" | Whisper → output SRT/VTT/TXT |
| "Extract audio from video" | -vn -acodec copy or re-encode |
| "Make it smaller" | Lower bitrate: -b:a 128k or -b:a 96k |
| "Speed up 1.5x" | -af atempo=1.5 |
Format Quick Reference
| Format | Use Case | Quality |
|---|---|---|
| WAV | Master, editing | Lossless |
| FLAC | Archive, audiophile | Lossless compressed |
| MP3 | Universal sharing | Lossy, 128-320 kbps |
| AAC/M4A | Apple, podcasts | Lossy, efficient |
| OGG/Opus | WhatsApp, Discord | Lossy, very efficient |
Quality Defaults
- Podcast: -16 LUFS (Spotify), -19 LUFS (Apple)
- Music: -14 LUFS (Spotify), -16 LUFS (Apple Music)
- MP3 quality: VBR
-q:a 2(~190 kbps) or CBR-b:a 192k - Sample rate: 44.1kHz for music, 48kHz for video sync
Scope
This skill:
- Processes audio files user explicitly provides
- Runs FFmpeg commands on user request
- Does NOT access cloud services without user knowing
- Does NOT store files persistently (user manages their files)
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