openai-whisper is agent-read markdown (skill) from trpc-group/trpc-agent-go: Local speech-to-text with the Whisper CLI (no API key)..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 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.
Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
GET https://markdownregistry.com/api/v1/artifacts/art_vpdkb4x7lgwgfdkw
GET https://markdownregistry.com/api/v1/resolve?ref=trpc-group/trpc-agent-go/openai-whisper
GET https://markdownregistry.com/api/v1/blob/6211652a4ffe7f58cb2a27017419a80d5b8977b7f6ec6958c9c1e2a75dbc4b00
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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