Openai Whisper

Name: Openai Whisper
Author: insight68

Checked

insight68·vlatest·ai-ml·MIT

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

Repository

Install on your platform

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

Run this in your project

terminal

$ npx skills add insight68/skills --skill openai-whisper -a claude-code

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

insight68

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 1 Oct 2026

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 insight68/skills at 06f4c92a43.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: 06f4c92a43
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 note-taking, meeting summaries, or creating captions. The transcribed text is then returned as a string.

When to use it

Transcribe recorded lectures or presentations for later review.
Generate written summaries of meetings or interviews from audio recordings.
Create subtitles or captions for videos.
Convert voice memos into editable text documents.
Process spoken commands or instructions in a conversational AI application.

Key capabilities

Audio transcription
Support for various audio formats
Multi-language support
Returns transcribed text as a string

Example prompts

"Transcribe this audio file: [audio_file_url]"
"What was said in this recording? [audio_file_url]"
"Can you give me the transcript of this meeting? [audio_file_url]"

Tips & gotchas

The accuracy of transcription depends heavily on the quality of the audio input. Ensure clear audio with minimal background noise for optimal results.