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Openai Whisper Hardened

作者 Faberlens · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
40
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0
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当前安装
1
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在 OpenClaw 中安装
/install openai-whisper-hardened
功能描述
Local speech-to-text with the Whisper CLI (no API key).
安全使用建议
This skill is internally consistent with local Whisper CLI usage. Before installing, verify the Homebrew formula (openai-whisper) comes from a trusted tap and inspect its contents if possible. Expect large model downloads to ~/.cache/whisper and ensure you have enough disk space and network bandwidth. The SKILL.md includes strict guardrails (no automatic network upload of transcripts, confirm consent for sensitive system paths) — those are good; follow them. If you need centralized/cloud storage of transcripts, handle uploads manually after review and consent rather than relying on the skill to perform network transmission.
功能分析
Type: OpenClaw Skill Name: openai-whisper-hardened Version: 1.0.0 The skill bundle provides a security-hardened implementation of the OpenAI Whisper CLI for local speech-to-text. Both SKILL.md and SAFETY.md contain explicit, defensive instructions (guardrails) designed to prevent the AI agent from exfiltrating data, accessing sensitive system paths like /etc/, or deviating from the CLI scope. No malicious logic, data exfiltration, or harmful prompt-injection attempts were found; the content is focused on enhancing the agent's safety profile.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
Name/description, required binary ('whisper'), and brew install (openai-whisper -> provides 'whisper') are coherent for a local Whisper CLI transcription skill.
Instruction Scope
SKILL.md limits actions to running the whisper CLI, documents model cache location, and includes explicit guardrails (no network exfiltration, confirm before transcribing sensitive system paths, prefer CLI over Python API). It does not instruct reading unrelated files or sending data to external endpoints.
Install Mechanism
Install uses a Homebrew formula (openai-whisper) which is a reasonable, low-risk install mechanism compared to arbitrary downloads. User should still validate the formula/tap before installing, but the mechanism itself is proportionate to the skill.
Credentials
The skill declares no environment variables, no credentials, and no config paths — consistent with a purely local CLI transcription tool.
Persistence & Privilege
Skill is not always-enabled, does not request elevated or cross-skill configuration, and does not request persistent credentials or system-wide changes.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install openai-whisper-hardened
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /openai-whisper-hardened 触发
  4. 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 release of openai-whisper-hardened. - Provides local speech-to-text transcription using the Whisper CLI (no API key needed). - Includes quick start usage examples for transcription and translation tasks. - Implements security guardrails to prevent network transmission and protect sensitive audio sources. - Recommends using the `whisper` CLI and outlines safe model and performance options. - Models are downloaded locally on first use.
元数据
Slug openai-whisper-hardened
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Openai Whisper Hardened 是什么?

Local speech-to-text with the Whisper CLI (no API key). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 40 次。

如何安装 Openai Whisper Hardened?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install openai-whisper-hardened」即可一键安装,无需额外配置。

Openai Whisper Hardened 是免费的吗?

是的,Openai Whisper Hardened 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Openai Whisper Hardened 支持哪些平台?

Openai Whisper Hardened 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 Openai Whisper Hardened?

由 Faberlens(@snazar-faberlens)开发并维护,当前版本 v1.0.0。

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