Parakeet Stt

Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). 30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API. Use when transcribing audio files, converting speech to text, or processing voice recordings locally without cloud APIs.

This skill is coherent for running a local Parakeet STT service, but it tells you to fetch and run third-party code and containers. Before following the instructions: 1) inspect the GitHub repo (Docker Compose file, Docker images referenced, requirements.txt, and startup scripts) to ensure no unexpected network calls, telemetry, or privileged operations; 2) prefer running the Docker compose in an isolated/test environment (or VM) and avoid exposing the service port to the public Internet; 3) verify the provenance of Docker images (use images from trusted registries or build locally from the repo); 4) don't run as an elevated user if avoidable; 5) if you require additional assurance, run static review or use a sandboxed environment. If you only need transcription and cannot audit the repo, consider using a well-vetted packaged distribution instead.

Type: OpenClaw Skill Name: parakeet-stt Version: 1.1.0 The skill bundle describes how to set up and use a local speech-to-text service. It instructs the agent to clone a GitHub repository (`https://github.com/groxaxo/parakeet-tdt-0.6b-v3-fastapi-openai.git`), install dependencies via `pip`, and run a `uvicorn` server or `docker compose`. All instructions in `SKILL.md` are directly related to installing and using this local service, primarily involving sending local audio files to a local endpoint for transcription. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts designed to subvert the agent's behavior or access unrelated sensitive data. The behavior is clearly aligned with the stated purpose and lacks meaningful high-risk activities.