Whisper STT
v1.0.0Free local speech-to-text transcription using OpenAI Whisper. Transcribe audio files (mp3, wav, m4a, ogg, etc.) to text without API costs. Use when: (1) User...
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bynic@nickylin
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (local Whisper STT) match the files and runtime instructions. The included scripts implement local transcription using the openai-whisper package; no unrelated credentials, binaries, or services are requested.
Instruction Scope
SKILL.md and scripts only instruct installing Python packages (openai-whisper, torch), optionally ffmpeg, and running the local transcribe script. The scripts read the provided audio file and print formatted output; they do not access other system paths, environment variables, or remote endpoints directly from the skill code.
Install Mechanism
There is no install spec (instruction-only plus two script files) which is low risk. Runtime use of whisper.load_model will, however, typically download model weights from upstream hosts (large files). That network activity and large disk/cache use is expected behavior for Whisper but worth noting.
Credentials
The skill declares no required environment variables, credentials, or config paths. The code does not read secrets or unrelated env vars. The dependency list (openai-whisper, torch, optional ffmpeg) is proportionate to local transcription.
Persistence & Privilege
always is false and the skill does not request persistent elevated privileges or modify other skills. It runs only when invoked and does not attempt to change global agent settings.
Assessment
This skill appears safe and does what it says: local transcription using the open-source Whisper library. Before installing, be aware it will require pip-installing third-party packages (torch and openai-whisper) and that the first run will typically download large model files (hundreds of MBs to multiple GBs) to your machine — check disk space and network usage. Install torch from the official source appropriate for your GPU/OS to avoid incompatibilities. If you have privacy concerns, note transcription runs locally (no credentials are requested), but downloaded model files are cached on disk; inspect or run in a sandbox if you want stricter isolation. Finally, some model names listed (e.g., large-v3-turbo) may not be available in every whisper distribution — test with smaller models first.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.