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Openai Whisper
by
utromaya-code
· GitHub ↗
· v1.0.0
· MIT-0
159
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0
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Active Installs
1
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Install in OpenClaw
/install whisper-local-stt
Description
Local speech-to-text with the Whisper CLI (no API key).
Usage Guidance
This skill appears to do what it says: run a local Whisper CLI to transcribe audio. Before installing, verify the Homebrew formula source (run 'brew info/openai-whisper' or inspect the formula) to ensure you're installing an official/trusted package. Be aware that the first run will download model files to ~/.cache/whisper (potentially large and requiring network access); if you need stronger isolation, consider installing in a container or VM. After installation, check 'which whisper' and review 'whisper --help' or the formula contents to confirm there are no unexpected network callbacks or telemetry. If you require guaranteed offline behavior or strict provenance, obtain models and the CLI from an auditable upstream source.
Capability Assessment
Purpose & Capability
Name/description (local speech-to-text) match the requirements and instructions: the skill only needs a 'whisper' CLI and shows local transcription commands. Nothing requested appears unrelated to the stated purpose.
Instruction Scope
SKILL.md only instructs running the local 'whisper' binary against local audio files. It does mention that models will be downloaded to ~/.cache/whisper on first run — which implies network activity and persistent storage of model files (large disk usage). This is expected for a local model CLI but is worth noting.
Install Mechanism
Install uses a Homebrew formula (openai-whisper) which is a low-to-moderate risk install mechanism. The manifest does not specify the tap or source repository for the formula; Homebrew formulas are usually safe but you should verify the formula's origin before installing to avoid pulling an untrusted binary.
Credentials
The skill requests no environment variables, credentials, or config paths — proportional to a local CLI STT tool.
Persistence & Privilege
Skill is not marked 'always' and does not request persistent system-wide privileges. Its persistent effect is limited to installing a binary and the CLI's own model cache (~/.cache/whisper).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install whisper-local-stt - After installation, invoke the skill by name or use
/whisper-local-stt - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Whisper local speech-to-text skill:
- Adds integration with the OpenAI Whisper CLI for local audio transcription and translation.
- No API key needed; all processing is done on your device.
- Includes quick start commands for transcribing and translating audio files.
- Provides installation instructions via Homebrew.
- Models are managed locally and default to the "turbo" model for fast performance.
Metadata
Frequently Asked Questions
What is Openai Whisper?
Local speech-to-text with the Whisper CLI (no API key). It is an AI Agent Skill for Claude Code / OpenClaw, with 159 downloads so far.
How do I install Openai Whisper?
Run "/install whisper-local-stt" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Openai Whisper free?
Yes, Openai Whisper is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Openai Whisper support?
Openai Whisper is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Openai Whisper?
It is built and maintained by utromaya-code (@utromaya-code); the current version is v1.0.0.
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