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Openai Whisper

Checked
jiulingyun·vlatest·ai-ml·MIT

Transcribes audio into text using OpenAI's Whisper model, powered by jiulingyun for enhanced accuracy and integration.

Repository

Install on your platform

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

Installs under a different name. Its SKILL.md names it OpenAI Whisper, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add mf-yang/openclaw-cn --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

jiulingyun

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 jiulingyun/openclaw-cn at 558f272e6c.

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

Commit
558f272e6c
Manifest
skills/openai-whisper/SKILL.md
Scanned
1 file, 20 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 perform speech recognition. It can transcribe audio into text, allowing AI agents to understand spoken language and convert it into a usable format. The tool supports various languages and offers robust performance for accurate transcriptions.

When to use it

  • Meeting transcription: Automatically generate transcripts of online meetings or conference calls.
  • Voice command processing: Enable an agent to respond to voice commands, such as controlling smart home devices.
  • Audio note summarization: Convert spoken notes into written text for easy review and organization.
  • Podcast captioning: Create accurate captions for podcasts and other audio content.

Key capabilities

  • Speech-to-text transcription
  • Support for multiple languages
  • Utilizes OpenAI's Whisper model
  • Audio processing

Example prompts

  • "Transcribe this audio file: [audio_file_url]"
  • "What was said in this recording? [audio_file_url]"
  • "Can you give me a text summary of this voice memo? [audio_file_url]"

Tips & gotchas

The quality of the transcription depends heavily on the audio clarity. Background noise and poor microphone quality can negatively impact accuracy.