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Install in OpenClaw
/install audio
Description
Process, enhance, and convert audio files with noise removal, normalization, format conversion, transcription, and podcast workflows.
README (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)
Usage Guidance
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.
Capability Analysis
Type: OpenClaw Skill
Name: audio
Version: 1.0.1
The skill bundle is classified as suspicious due to significant shell injection vulnerabilities. Specifically, the use of `ffmpeg -f concat -safe 0` in `commands.md` and `podcast.md` allows arbitrary file paths in the concatenation list, posing a risk if the agent constructs this list from unsanitized user input. Additionally, other shell commands involving command substitution and arithmetic (`$()`, `bc`) in `commands.md` and `podcast.md` could lead to arbitrary code execution if user-provided input is not properly sanitized by the OpenClaw agent before being passed to the shell.
Capability Assessment
Purpose & 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).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install audio - After installation, invoke the skill by name or use
/audio - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Declare required binaries (ffmpeg, ffprobe), add requirements section with optional deps, add explicit scope
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is Audio?
Process, enhance, and convert audio files with noise removal, normalization, format conversion, transcription, and podcast workflows. It is an AI Agent Skill for Claude Code / OpenClaw, with 1443 downloads so far.
How do I install Audio?
Run "/install audio" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Audio free?
Yes, Audio is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Audio support?
Audio is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).
Who created Audio?
It is built and maintained by Iván (@ivangdavila); the current version is v1.0.1.
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