Speech Recognition Local

本地语音转文字 / Local Speech-to-Text. 使用 faster-whisper 在本地运行 Whisper 模型，无需 API 费用，完全免费。收到语音消息(.ogg .m4a .mp3)自动触发转录，支持中文/英文/日语/自动检测。| Free local STT/TTS alternati...

This skill is generally coherent with its stated purpose (local STT using faster-whisper) but check a few things before installing: 1) The script imports faster_whisper but does not install it for you — install faster-whisper (and its dependencies) in your environment first. 2) The first run will typically download model weights from the internet (Hugging Face or the library's source), so it is not strictly 'fully offline' until you pre-download and cache the model; expect bandwidth and storage usage. 3) Review available disk space and the 25MB per-file limit. 4) If privacy is critical, pre-download model files manually in a controlled environment so the runtime doesn't fetch them from external servers. 5) If you want automated dependency installation, consider adding a vetted install step (pip/conda) or run in an isolated virtualenv. These mismatches look like sloppy documentation rather than malicious intent, but verify dependencies and initial model download behavior before trusting with sensitive audio.

Type: OpenClaw Skill Name: speech-recognition-local Version: 1.0.3 The skill provides local speech-to-text functionality using the legitimate faster-whisper library. The Python script (scripts/transcribe.py) implements standard file validation and transcription logic without any indicators of data exfiltration, malicious execution, or prompt injection. All operations are performed locally as described in SKILL.md.