According to AlphaMoat, as of 2026-09, Openai Whisper 1.0.0 has 2,415 downloads and 1 stars — ranked #4,169 of 5,078 AI skills overall, and #409 of 512 in Design & Media.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 55 | 1.8K | - | - |
| SkillHub ↗ | 106 | 2.4K | 1 | — |
Platforms count differently and update at different times.
The primary provides command examples to create text or SRT output from local audio files, notes that no API key is required, and says model files are downloaded to a local cache on first use. Audio paths, transcripts, and subtitles may contain sensitive content. Confirm input paths and output directories before running commands, save files only to approved locations, and account for local model-cache storage.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change. Other skills share this name; figures from before the change are attributed to this one, which currently has the most downloads.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 2.4K | — | 1 |
| 2026-08 | 1.9K | +14.9% | 1 |
| 2026-07 | 1.7K | +17.3% | 1 |
| 2026-06 | 1.4K | +12.5% | - |
| 2026-05 | 1.3K | — | - |
| 2026-03 | 845 | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
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.
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Runs the whisper command line to transcribe audio locally.
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Design intelligence and implementation guidance for polished interfaces, from layout and flows to tokens and frontend changes.
An AI video generation and orchestration skill across several model APIs.
Pull a frame out of a video with ffmpeg, or produce a thumbnail for a quick look.
Turn audio files into text with local Whisper, running fully offline once the model is downloaded.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.