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skill

audiogear

CCaution

lIkesimba9/audiogear

Annotate speech/TTS datasets with per-clip quality metrics (MOS, SNR, STOI, pitch, bandwidth, speaking rate, WER/CER, gender/emotion), multi-ASR consensus transcription and speaker labeling using the audiogear pipeline; then filter clips by quality and build listenable HTML QA reports. Use when asked to compute audio dataset metrics, build extended_metadata.csv, transcribe unlabeled audio, select clean TTS training data, or QA a speech dataset.

audiogear got grade C on our automated scan on 2026-10-19.

Why this grade

  • Runs commands with sudo.

What grade C means · How the scan works

Details

Source

Public file: https://github.com/lIkesimba9/audiogear/blob/07f5b240eb0a413e649e7a4e13930cf31f5c85a6/SKILL.md

Last scanned: (Oct 19, 2026, 8:14 a.m. ET)

Category: uncategorized

License: Present

View source on GitHub

Before you install

  1. Read any scripts this skill ships.
  2. Note every URL it fetches.
  3. Check allowed-tools and hooks.

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