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Install in OpenClaw
/install openai-whisper-andy27725
Description
Local speech-to-text with the Whisper CLI (no API key).
Usage Guidance
This skill appears to do what it claims: run the local Whisper CLI to transcribe audio. Before installing: (1) verify the Homebrew formula 'openai-whisper' comes from a trusted tap (inspect the formula and its source repository); (2) be aware that model files will be downloaded to ~/.cache/whisper (network activity and disk usage); (3) confirm the installed 'whisper' binary is the expected implementation (run whisper --version or check upstream repo); (4) note a minor documentation inconsistency: the SKILL.md mentions a default model named 'turbo', which is not a standard Whisper model name — treat that as a documentation error, not a credential or access red flag. If you are unsure about the brew formula's provenance, install in a sandbox/VM or build the upstream project from source instead.
Capability Assessment
Purpose & Capability
The name/description (local speech-to-text with Whisper CLI) matches the declared requirement (whisper binary) and the included install spec (brew formula that provides a whisper binary). There are no unrelated credentials, binaries, or config paths requested.
Instruction Scope
SKILL.md only instructs the agent to run the whisper CLI against local audio files and notes that models download to ~/.cache/whisper. It does not request reading unrelated files or environment variables. Note: model downloads are network activity and will write to disk (cache directory).
Install Mechanism
Install spec uses a brew formula (openai-whisper) which is a low-risk mechanism in general. However the formula's tap/source is not specified here; a third-party tap could install arbitrary code. Recommend verifying the formula's origin and audit the formula before installing.
Credentials
The skill requests no environment variables, credentials, or config paths — appropriate for a local CLI-based transcription tool.
Persistence & Privilege
always is false and the skill does not request permanent presence or elevated privileges. It will cause model files to be cached on first run but does not modify other skills or global settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install openai-whisper-andy27725 - After installation, invoke the skill by name or use
/openai-whisper-andy27725 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of openai-whisper skill.
- Enables local speech-to-text transcription using the Whisper CLI (no API key required).
- Supports multiple audio formats and transcription/translation tasks.
- Quick commands and notes included for easy setup and use.
- Models are cached locally for faster access on subsequent runs.
- Brew installation instructions provided.
Metadata
Frequently Asked Questions
What is Openai Whisper Andy27725?
Local speech-to-text with the Whisper CLI (no API key). It is an AI Agent Skill for Claude Code / OpenClaw, with 151 downloads so far.
How do I install Openai Whisper Andy27725?
Run "/install openai-whisper-andy27725" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Openai Whisper Andy27725 free?
Yes, Openai Whisper Andy27725 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Openai Whisper Andy27725 support?
Openai Whisper Andy27725 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Openai Whisper Andy27725?
It is built and maintained by Andy27725 (@andy27725); the current version is v1.0.0.
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