Openai Whisper 1.0.0

PassAudited by VirusTotal on May 12, 2026.

Overview

Type: OpenClaw Skill Name: openai-whisper-1-0-0 Version: 1.0.0 The skill bundle describes the installation and usage of the legitimate OpenAI Whisper CLI for local speech-to-text. The `SKILL.md` file provides standard `brew` installation instructions for `openai-whisper` and example commands for local audio transcription. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, prompt injection attempts against the agent, or any other indicators of malicious intent. All described actions are consistent with the stated purpose of the skill.

Findings (0)

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 or first running the skill may download software and model files onto the local machine.

Why it was flagged

The skill depends on an external Homebrew package and a first-run model download. That is expected for a local Whisper CLI skill, but it is still a supply-chain and local storage point users should notice.

Skill content
metadata: {"clawdbot":{"requires":{"bins":["whisper"]},"install":[{"id":"brew","kind":"brew","formula":"openai-whisper","bins":["whisper"]}]}} ... Models download to `~/.cache/whisper` on first run.
Recommendation

Install from trusted Homebrew sources, keep the package updated, and be aware that Whisper model files will be stored locally in the cache.

What this means

The agent may run the local `whisper` command on audio files you provide and write transcript files where requested.

Why it was flagged

The skill instructs use of a local CLI command. This is central to the stated purpose and the examples are scoped to user-provided audio files, so it is a notice rather than a concern.

Skill content
Use `whisper` to transcribe audio locally. Quick start - `whisper /path/audio.mp3 --model medium --output_format txt --output_dir .`
Recommendation

Use clear file paths and output directories, and review commands before allowing transcription of sensitive audio.