Whisper Transcription

Name: Whisper Transcription
Author: openclaw

Featured

openclaw·v1.1.0·ai-ml·MIT

Transcribe audio and video files to text using OpenAI Whisper. Supports 50+ languages with automatic language detection.

Repository

Install on your platform

Showing OpenClaw.

1
Run this in your terminal
terminal
```
$ openclaw skills install whisper
```

What we know about this skill

Publisher

openclaw

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

Install target

Pinned to 7b5e64ef

Installs fetch a stored snapshot of that commit, so the code can't change after the fact.

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 20 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 openclaw/openclaw at f12a8dee23.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: f12a8dee23
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 whisper skill enables an AI agent to transcribe spoken words into text, allowing for voice-to-text conversion. It supports multiple languages and can be used to convert audio recordings or live speech into written format with high accuracy.

When to use it

Transcribing interviews or meetings for documentation
Converting voice memos into editable text
Capturing live speech during presentations or lectures

Key capabilities

Real-time speech recognition
Multi-language support
High accuracy in transcription

Example prompts

"Transcribe this audio file into text."
"Convert the voice recording to written words."
"What did the speaker say in this clip?"

Tips & gotchas

Ensure clear audio input for best results. Background noise can reduce accuracy.
Some dialects or accents may require additional training or tuning for optimal performance.

Requirements

Required binaries

ffmpeg

Environment variables

OPENAI_API_KEY

This skill expects these to be set in its environment — it will have access to their values.