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在 OpenClaw 中安装
/install whisper-gpu-transcriber-skill
功能描述
Convert audio to SRT subtitles using OpenAI Whisper with automatic GPU acceleration for Intel XPU / NVIDIA CUDA / AMD ROCm / Apple Metal. Ideal for content c...
安全使用建议
This skill appears to do exactly what it claims: run a local Whisper model to convert audio to SRT. Before installing or running it, consider: (1) first run will download large model files (~1–2 GB) to ~/.cache/whisper (network and disk usage); (2) you must install a PyTorch build that matches your hardware (the SKILL.md points to the official PyTorch index); (3) run the script in a controlled environment (virtualenv/container) if you are cautious about running third‑party Python code; (4) the code does not request credentials or exfiltrate data, but the model download comes from the internet — if you prefer, manually obtain model files from trusted mirrors and place them in ~/.cache/whisper. Overall the skill is internally consistent and coherent with its stated purpose.
功能分析
Type: OpenClaw Skill
Name: whisper-gpu-transcriber-skill
Version: 1.0.3
The skill is a legitimate wrapper for the OpenAI Whisper library, designed to transcribe audio files to SRT subtitles with GPU acceleration. The core logic in `scripts/transcribe.py` focuses on hardware detection (CUDA, XPU, MPS, ROCm) and standard file I/O, with no evidence of data exfiltration, malicious execution, or prompt injection.
能力评估
Purpose & Capability
Name/description (Whisper GPU transcription) match the requested artifacts: a Python script that loads a local Whisper model and transcribes audio. Declared binaries (python) and suggested pip packages are appropriate for the stated purpose.
Instruction Scope
SKILL.md instructs the agent to run scripts/transcribe.py with a given audio path. The script only reads the provided audio file, loads a local model, transcribes to SRT, and writes the SRT next to the audio — it does not read unrelated files, export environment variables, or call remote endpoints in code.
Install Mechanism
This is instruction-only in the registry (no formal install spec), but SKILL.md instructs pip installs (openai-whisper and a PyTorch wheel/index). Those are expected. Note: the first run will download model files (~1.5GB) from the Whisper model host — this network activity is expected for local model use and may be large; mirrors or manual downloads are suggested in the docs for regions with restricted access.
Credentials
The skill does not request environment variables, credentials, or config paths. The script only accesses the specified audio file and writes an SRT file; no sensitive credentials are required.
Persistence & Privilege
always is false and the skill does not request permanent agent presence or modify other skills/system-wide settings. It runs a local script on demand.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install whisper-gpu-transcriber-skill - 安装完成后，直接呼叫该 Skill 的名称或使用
/whisper-gpu-transcriber-skill触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.3
Version 1.0.3
- No file changes detected; this is a version update with no modifications to the code or documentation.
v1.0.2
- Updated documentation (SKILL.md) for improved clarity and organization.
- Split instructions and information into separate English and Chinese sections.
- Refined use case descriptions, usage instructions, and requirements.
- No core functionality or feature changes; update is documentation only.
v1.0.1
- Changed install method for openai-whisper from uv to pip in the skill metadata.
- Updated requirements to state openai-whisper is now automatically installed by ClawHub using pip.
- No changes to functionality or other documentation detected.
v1.0.0
Initial release of whisper-gpu-transcriber-skill:
- Convert audio files to SRT subtitles using OpenAI Whisper with automatic GPU acceleration (supports Intel, NVIDIA, AMD, Apple M Series).
- Fully offline, free, and works as an alternative to paid subtitle tools.
- Simple usage: just specify your audio file to get SRT subtitles.
- Advanced features: select Whisper models and target subtitle language.
- Auto-detects available GPU and uses optimal acceleration.
- Supports multiple Whisper models; default model is turbo.
- Includes clear setup instructions and requirements for all supported platforms.
元数据
常见问题
Whisper GPU Audio Transcriber 是什么？
Convert audio to SRT subtitles using OpenAI Whisper with automatic GPU acceleration for Intel XPU / NVIDIA CUDA / AMD ROCm / Apple Metal. Ideal for content c... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 154 次。
如何安装 Whisper GPU Audio Transcriber？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install whisper-gpu-transcriber-skill」即可一键安装，无需额外配置。
Whisper GPU Audio Transcriber 是免费的吗？
是的，Whisper GPU Audio Transcriber 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Whisper GPU Audio Transcriber 支持哪些平台？
Whisper GPU Audio Transcriber 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Whisper GPU Audio Transcriber？
由 Allan.M（@allanmeng）开发并维护，当前版本 v1.0.3。
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