Openclaw Openai Whisper

Openai Whisper Local speech-to-text with the Whisper CLI (no API key). MIT-0 · Free to use, modify, and redistribute. No attribution required. ⭐ 250 · 58k · 1.7k current installs · 1.7k all-time installs by Peter Steinberger · @steipete MIT-0 Security Scan VirusTotal VirusTotal Benign View report → OpenClaw OpenClaw Benign high confidence This is an instruction-only skill that coherently wraps the local Whisper CLI: it only asks for the whisper binary (brew install) and doesn't request extra credentials or broad system access. Details ▾ ✓ Purpose & Capability Name/description match the content: the SKILL.md instructs use of the 'whisper' CLI and the metadata requires the 'whisper' binary and offers a brew formula. These requirements are proportionate to a local speech-to-text skill. ✓ Instruction Scope Runtime instructions are limited to calling the whisper CLI on audio files and note model caching to ~/.cache/whisper. They do not ask the agent to read unrelated files, access credentials, or transmit data to unexpected endpoints. ✓ Install Mechanism No install script included in the package; the metadata suggests installing via Homebrew (openai-whisper). Homebrew is a standard package mechanism and appropriate for this kind of tool. ✓ Credentials The skill declares no environment variables, no credentials, and no config paths. This matches the stated purpose (local CLI usage) and is proportionate. ✓ Persistence & Privilege The skill is not configured as always-enabled and does not request persistent system-wide changes. Agent invocation settings are default; autonomous invocation is allowed by platform default but not a notable risk here given the limited scope. Assessment This skill is internally consistent and lightweight: it just tells the agent how to use a local 'whisper' binary and offers a Homebrew install hint. Before installing, verify the Homebrew formula source (brew info / inspect the tap) so you know which upstream binary will be installed. Be aware that Whisper downloads model files to ~/.cache/whisper on first run (large disk usage and network download). If you will transcribe sensitive audio, confirm the binary is trusted and run it in an environment you control; otherwise there are no extra credentials or hidden exfiltration steps in this skill. Like a lobster shell, security has layers — review code before you run it. Current version v 1.0.0 Download zip latest v k970s3fds5q3jr8vj6skxr1ryx7yj8rn License MIT-0 Free to use, modify, and redistribute. No attribution required. Terms https://spdx.org/licenses/MIT-0.html Runtime requirements 🎙️ Clawdis Bins whisper Install Install OpenAI Whisper (brew) Bins: whisper brew install openai-whisper Files Compare Versions SKILL.md Whisper (CLI) Use whisper to transcribe audio locally. Quick start whisper /path/audio.mp3 --model medium --output_format txt --output_dir . whisper /path/audio.m4a --task translate --output_format srt Notes Models download to ~/.cache/whisper on first run. --model defaults to turbo on this install. Use smaller models for speed, larger for accuracy. Files 1 total SKILL.md 725 B Select a file Select a file to preview. Comments Loading comments…