Audio Transcription (Whisper)

Trust Score 80/100

Step-by-step instructions to transcribe audio files (podcasts, MP3s, interviews) locally using OpenAI Whisper CLI, with model recommendations and output formats

triggers:transcribe audiowhisper clipodcast transcriptionaudio to textgenerate subtitles

GitHub SKILL.md

What it does

Guides a developer through transcribing audio files locally using the OpenAI Whisper CLI. Includes how to obtain audio (download from a URL or find podcast MP3s), recommended model choices (tiny→large tradeoffs), example whisper command lines, and tips for long files and subtitle outputs.

When to use it

Use this skill when asked to "listen to" or transcribe podcasts, interviews, or other audio files, especially when a local Whisper CLI workflow is preferred. Good for ad-hoc transcription, subtitle generation (srt), or quick drafts where privacy/local processing is desired.

What's included

Scripts: none (relies on external whisper CLI).
References: none bundled.
Instructions: download audio, run whisper with suggested flags, choose model based on speed/accuracy, and locate output files.

Compatible agents

Useful for developer/workflow agents and local automation tools that can run shell commands and manage files.

Audit Summary

A clean, simple skill for transcribing audio files using OpenAI Whisper CLI. No bundled scripts — it's purely instructional, guiding the agent to download audio and run whisper commands. The SKILL.md is well-written with clear steps, model recommendations, and practical tips. No security concerns beyond downloading arbitrary URLs with curl.

Watch Out

Requires whisper CLI installed via Homebrew (brew install openai-whisper)
First run downloads model weights which can be large

Notes

Pure instruction skill with no scripts. Clean frontmatter, clear documentation. Very low security risk — only uses curl to download to file and whisper for local transcription. No network exfiltration or destructive commands.

Information

Repository: dotfiles
Stars: 947

Trust Score

Overall80

Security95

Code Quality68

Architecture62

Usefulness75

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