Aj Openai Whisper

PassAudited by ClawScan on May 1, 2026.

Overview

This is a simple instruction-only Whisper CLI skill whose local transcription behavior matches its description, with only expected external install/model-download considerations.

This skill appears safe for its stated purpose. Before installing, understand that it depends on the Homebrew `openai-whisper` package and may download Whisper model files to your local cache; review the audio file paths and output locations when using it.

Findings (3)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

Installing the skill may require installing the Whisper CLI package through Homebrew.

Why it was flagged

The skill relies on an external Homebrew package to provide the CLI. This is expected for the skill's purpose, but it means installation depends on that package's provenance and behavior.

Skill content
brew | formula: openai-whisper | creates binaries: whisper
Recommendation

Install only if you are comfortable trusting the Homebrew `openai-whisper` package and your local package manager.

What this means

The agent can help run local Whisper commands against audio files you specify.

Why it was flagged

The skill's core behavior is running a local CLI command. This is disclosed and directly aligned with local speech-to-text functionality.

Skill content
Use `whisper` to transcribe audio locally.
Recommendation

Review the audio path and output directory before running transcription commands.

What this means

First use may download model files and use local disk space.

Why it was flagged

The first use may fetch model files and store them locally. This is disclosed and normal for Whisper, but it is still an external download and local persistence.

Skill content
Models download to `~/.cache/whisper` on first run.
Recommendation

Ensure you have sufficient disk space and are comfortable with Whisper downloading model files to your local cache.