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Openai Whisper

Checked
steipete·vlatest·ai-ml·MIT

Transcribes audio into text using OpenAI's Whisper model, enabling voice command processing and content analysis.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add openclaw/openclaw --skill openai-whisper -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

steipete

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned steipete/clawdis at db197f9a8f.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
db197f9a8f
Manifest
skills/openai-whisper/SKILL.md
Scanned
1 file, 39 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The steipete-openai-whisper skill enables AI agents to transcribe audio files into text using OpenAI's Whisper model. It supports multiple languages and can handle various audio formats, making it useful for converting spoken words into written content.

When to use it

  • Transcribing voice recordings into text for documentation or analysis.
  • Converting interviews or meetings into written notes.
  • Processing customer service calls for sentiment or keyword analysis.

Key capabilities

  • Audio transcription using OpenAI's Whisper model
  • Support for multiple languages
  • Compatibility with common audio file formats

Example prompts

  • "Transcribe this audio file into text."
  • "Convert the voice recording to written English."
  • "Extract the spoken words from the provided MP3 file."

Tips & gotchas

  • Ensure the audio files are clear and not too distorted for accurate transcription.
  • Be aware of any language-specific limitations or model constraints when using Whisper.