Skill flagged — suspicious patterns detected

ClawHub Security flagged this skill as suspicious. Review the scan results before using.

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
VirusTotalVirusTotal
Suspicious
View report →
OpenClawOpenClaw
Benign
high confidence
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).
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 zip
latestvk972sjg7r701mk55hegrntbt4s8164sz

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 reduction
  • whisper — local transcription (or use API)
  • demucs — stem separation

Quick Reference

SituationLoad
FFmpeg commands by taskcommands.md
Loudness standards by platformloudness.md
Podcast production workflowpodcast.md
Transcription workflowtranscription.md

Core Capabilities

TaskMethod
Convert formatsFFmpeg (-acodec)
Remove noiseFFmpeg filters or SoX
Normalize loudnessffmpeg-normalize or -af loudnorm
TranscribeWhisper → text, SRT, VTT
Separate stemsDemucs (vocals, drums, bass, other)

Execution Pattern

  1. Clarify goal — What format? What loudness? What platform?
  2. Analyze sourceffprobe for codec, sample rate, channels, duration
  3. Process — FFmpeg/SoX for transformation
  4. Verify — Check output plays, meets specs, sounds correct
  5. Deliver — Provide file to user

Common Requests → Actions

User saysAgent 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

FormatUse CaseQuality
WAVMaster, editingLossless
FLACArchive, audiophileLossless compressed
MP3Universal sharingLossy, 128-320 kbps
AAC/M4AApple, podcastsLossy, efficient
OGG/OpusWhatsApp, DiscordLossy, 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)

Files

5 total
Select a file
Select a file to preview.

Comments

Loading comments…