📦 Faster Whisper Gpu — 本地语音转文字
v0.1.0基于 Faster Whisper 与 NVIDIA GPU 加速的本地高性能语音转文字工具，无需上传音频即可完成转录，保障数据隐私。
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by 安全扫描
OpenClaw
安全
high confidenceThe skill's files, instructions, and requirements are coherent with a local GPU-accelerated transcription tool; it does not request unexplained credentials or attempt to exfiltrate data, but it will download model weights from the Hugging Face hub and requires installing large third-party packages (torch/faster-whisper).
评估建议
This skill appears to be what it says: a local Faster-Whisper transcription tool. Before installing, consider the following: (1) pip installing torch can be large and may require specific GPU/CUDA builds — prefer installing inside a virtualenv or conda environment. (2) Model weights are downloaded from the Hugging Face hub on first use (network access and several GBs of disk may be required for large models); if you require full offline operation, pre-download and place models in the HF cache or...详细分析 ▾
✓ 用途与能力
Name/description, SKILL.md, requirements.txt and transcribe.py all align: the skill implements local Faster-Whisper transcription with optional GPU support. Required binary is only python3; listed Python packages match the stated capability.
ℹ 指令范围
SKILL.md and transcribe.py limit actions to local transcription, writing outputs to stdout or local files. The only external activity is the expected download of model weights from the Hugging Face hub (~ ~/.cache/huggingface/hub) on first use; this is documented in SKILL.md. No instructions read unrelated system credentials or post audio to third-party endpoints.
ℹ 安装机制
There is no registry install spec; the skill is instruction-only and instructs users to pip install faster-whisper and torch. Using pip is expected but may pull large binary wheels (torch) and GPU-specific builds. Model weights are downloaded at runtime from Hugging Face — an expected but noteworthy network activity and storage use.
✓ 凭证需求
The skill requests no environment variables or credentials. SKILL.md mentions HF_HOME as an optional way to change the Hugging Face cache directory (documented as a troubleshooting tip) — reasonable and proportional.
✓ 持久化与权限
The skill is not always: true and does not request persistent system privileges. It does not modify other skills or agent-wide configs. It writes outputs and caches model files to the user's home cache directory (standard behavior).
安全有层次，运行前请审查代码。
运行时依赖
无特殊依赖
版本
latestv0.1.02026/2/21
Initial release of faster-whisper-gpu. - Local speech-to-text transcription powered by Faster Whisper with NVIDIA GPU acceleration. - Transcribe audio into text, subtitles (SRT/VTT), or JSON with support for 99 languages. - Features multiple model sizes, word-level timestamps, hotword boosting, and voice activity detection. - All data processing is 100% local for maximum privacy. - Includes a command-line interface and Python API for flexible usage.
● 可疑
安装命令
点击复制官方npx clawhub@latest install faster-whisper-gpu
镜像加速npx clawhub@latest install faster-whisper-gpu --registry https://cn.longxiaskill.com