Openai Whisper
Local speech-to-text with the Whisper CLI (no API key).
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Safety (NVIDIA SkillSpector)
Risk score
0/100
Recommendation
SAFE
Severity
LOW
Savant decision
Passed
SkillSpector rated the package safe. SkillSpector 2.12.0, static analysis.
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Structure
- Instructions are thinSKILL.md has 378 characters of instructions.
- No license declaredConfirm you may reuse this skill before importing it into your repository.
SKILL.md
---
name: openai-whisper
description: Local speech-to-text with the Whisper CLI (no API key).
homepage: https://openai.com/research/whisper
metadata: {"clawdbot":{"emoji":"🎙️","requires":{"bins":["whisper"]},"install":[{"id":"brew","kind":"brew","formula":"openai-whisper","bins":["whisper"],"label":"Install OpenAI Whisper (brew)"}]}}
---
# Whisper (CLI)
Use `whisper` to transcribe audio locally.
Quick start
- `whisper /path/audio.mp3 --model medium --output_format txt --output_dir .`
- `whisper /path/audio.m4a --task translate --output_format srt`
Notes
- Models download to `~/.cache/whisper` on first run.
- `--model` defaults to `turbo` on this install.
- Use smaller models for speed, larger for accuracy.