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Openai Whisper

Checked
heldinhow·vlatest·ai-ml·MIT

Transcribes audio into text using OpenAI's Whisper model for accurate speech-to-text conversion.

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 heldinhow/openclaw-swarm --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

heldinhow

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 heldinhow/openclaw-swarm at 013c36ee60.

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

Commit
013c36ee60
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

This skill leverages OpenAI's Whisper model to transcribe audio into text. It can handle various audio formats and languages, providing accurate transcriptions suitable for meetings, lectures, or any spoken content. The resulting transcripts are readily usable for summarization, analysis, or further processing by other AI agents.

When to use it

  • Meeting Transcription: Automatically generate a written record of team meetings for later review and action items.
  • Lecture Note Taking: Transcribe lectures or online courses to create searchable notes and improve comprehension.
  • Voice Memo Conversion: Convert voice memos into text documents for easier organization and sharing.
  • Podcast Summarization: Extract key information from podcast episodes by transcribing the audio content.

Key capabilities

  • Audio transcription
  • Support for multiple languages (specific language support not detailed)
  • Handles various audio formats (specific format details not provided)
  • Integration with OpenAI's Whisper model

Example prompts

  • "Transcribe this audio file: [audio_file_path]"
  • "Generate a transcript of the following recording: [recording_url]"
  • "Can you transcribe this and provide a summary?"

Tips & gotchas

The quality of transcription depends heavily on the clarity of the audio. Background noise or poor microphone quality can significantly impact accuracy. Ensure the audio input is as clean as possible for optimal results.