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在 OpenClaw 中安装
/install whisper-transcriber
功能描述
Offline speech-to-text (ASR) using whisper.cpp (whisper-cli) + ffmpeg. Supports batch transcription, timestamps, SRT/TXT/JSON outputs, and model download. Cr...
安全使用建议
This skill appears to do what it says, but review and be cautious before running the installer and scripts: 1) The installer will call your system package manager (may prompt for sudo) and will download large model files from https://huggingface.co/ggerganov/whisper.cpp — ensure you have sufficient disk space and trust that source. 2) config.json contains empty modelsSha256 entries, so by default the provided integrity check has no expected hashes; the scripts will only verify if those fields are filled and the host has shasum/sha256sum (the small node -e helper used for verification requires node to be present). 3) Prefer running install.sh and transcribe.sh manually (inspect them first), do not run them as root unless you understand the package installs, and consider running inside an isolated environment (VM or container) if you want extra safety. 4) If you plan to enable autonomous agent invocation, remember the skill will download models and run local binaries on any audio it processes — ensure your agent's permissions and inputs are appropriate. If you want, I can point out the exact lines in the scripts that perform downloads, package installs, and sha256 checks so you can inspect them before running.
功能分析
Type: OpenClaw Skill
Name: whisper-transcriber
Version: 1.0.0
The skill is a legitimate offline speech-to-text tool utilizing whisper.cpp and ffmpeg. The installation and transcription scripts (install.sh, transcribe.sh) perform expected actions such as system package management and downloading models from Hugging Face (huggingface.co). No evidence of data exfiltration, persistence, or malicious prompt injection was found.
能力评估
Purpose & Capability
Name/description require ffmpeg and whisper-cli and perform audio conversion + offline ASR; the scripts, download behavior, and config match that purpose. Required binaries and model downloads are appropriate for an offline whisper.cpp-based transcriber.
Instruction Scope
SKILL.md and scripts instruct the agent/user to run install.sh and transcribe.sh which install packages, download models, create temp dirs, convert audio, and invoke whisper-cli. The instructions are scoped to the transcribe task, but the runtime scripts will: (1) call system package managers (may use sudo), (2) download multi-hundred-MB/GB model files from huggingface, (3) optionally use node -e to read config.json for sha256 verification. None of these expand scope beyond transcription, but they do perform privileged installs and large external downloads — review before running.
Install Mechanism
There is no platform install spec in the registry; the repo provides cross-platform install.sh that uses package managers (brew/apt/dnf/yum/pacman/zypper) and curl/wget to download models from huggingface.co (a well-known host). No URL shorteners or personal IPs observed. This is a common, expected install mechanism for model-based tools.
Credentials
The skill declares no required credentials and only optional environment variables for model/temporary directories and defaults (WHISPER_DEFAULT_MODEL, WHISPER_MODEL_DIR, WHISPER_TEMP_DIR, etc.). Scripts do not attempt to read unrelated secrets or system credentials.
Persistence & Privilege
always:false and user-invocable. The skill does not request permanent platform-level presence or modify other skills' config. Install scripts create files under the skill's assets/models and may write system packages via package managers (normal for installers).
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-transcriber - 安装完成后,直接呼叫该 Skill 的名称或使用
/whisper-transcriber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
v1.0.0
Initial public release v1.0.0: offline ASR via whisper.cpp (whisper-cli) + ffmpeg; cross-platform installer (macOS/Linux) with Windows WSL2 recommendation; auto-download models to assets/models; optional sha256 verification; safer temp dir (mktemp).
元数据
常见问题
Whisper Transcriber 是什么?
Offline speech-to-text (ASR) using whisper.cpp (whisper-cli) + ffmpeg. Supports batch transcription, timestamps, SRT/TXT/JSON outputs, and model download. Cr... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 363 次。
如何安装 Whisper Transcriber?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install whisper-transcriber」即可一键安装,无需额外配置。
Whisper Transcriber 是免费的吗?
是的,Whisper Transcriber 完全免费(开源免费),可自由下载、安装和使用。
Whisper Transcriber 支持哪些平台?
Whisper 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 Transcriber?
由 vvusu(@vvusu)开发并维护,当前版本 v1.0.0。
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