Openclaw-config openai-whisper

Name: openai-whisper
Author: unisone

Local speech-to-text with the Whisper CLI (no API key); Don't use if you need cloud transcription with no local model; prefer openai-whisper-api.

install

source · Clone the upstream repo

git clone https://github.com/unisone/openclaw-config

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/unisone/openclaw-config "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/openai-whisper" ~/.claude/skills/unisone-openclaw-config-openai-whisper && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/unisone/openclaw-config "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/openai-whisper" ~/.openclaw/skills/unisone-openclaw-config-openai-whisper && rm -rf "$T"

manifest: skills/openai-whisper/SKILL.md

source content

Whisper (CLI)

Use

whisper

to transcribe audio locally.

Routing

❌ Don't use if you need cloud transcription (no local model / no local compute).
✅ Prefer
```
openai-whisper-api
```
for cloud transcription.

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.