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Openai Whisper

Checked
openclaw·v2026.3.2·ai-ml·MIT

Local speech-to-text with the Whisper CLI (no API key).

Repository

Install on your platform

Showing OpenClaw.

  1. 1

    Run this in your terminal

    terminal
    $ openclaw skills install openai-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

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

OpenClaw is a personal AI assistant designed to operate locally on user devices, providing fast and always-on responsiveness. It integrates with various communication channels like WhatsApp, Telegram, Slack, Discord, and more. The system can both speak and listen on macOS/iOS/Android platforms and offers a live, controllable Canvas interface.

When to use it

  • Personalized Communication: Use OpenClaw to manage and respond to messages across multiple messaging apps without switching between them.
  • Local Processing: Ideal for users who prioritize privacy and want their AI interactions processed locally rather than on remote servers.
  • Hands-Free Interaction: Leverage the voice input capabilities on mobile devices (macOS/iOS/Android) for quick commands or information retrieval.
  • Canvas Control: Utilize the live Canvas feature to interact with visual elements or applications through the AI assistant.

Key capabilities

  • Integration with multiple messaging platforms (WhatsApp, Telegram, Slack, Discord, etc.)
  • Voice input and output on macOS/iOS/Android devices
  • Live Canvas interface for interactive control
  • Local processing of data for privacy
  • Personalized, single-user assistant experience

Example prompts

  • "OpenClaw, summarize my latest messages in Slack."
  • "Hey OpenClaw, remind me to call John tomorrow at 2 PM."
  • "OpenClaw, show me the weather forecast for London on the Canvas."

Tips & gotchas

  • The preferred setup method is running openclaw onboard in your terminal. This guides you through initial configuration.