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transcription-speech-to-text-hebrew
作者
NetanelRotem
· GitHub ↗
· v1.0.3
· MIT-0
124
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install transcription-speech-to-text-hebrew
功能描述
Transcribe audio or video files using the TextOps/Modal API. Use this skill whenever the user wants to transcribe a video or audio file, mentions an mp4/mp3/...
安全使用建议
This skill appears to implement a legitimate transcription flow, but proceed with caution: (1) The SKILL.md and scripts require TEXTOPS_API_KEY, but the registry metadata incorrectly lists no required env vars — assume you must supply TEXTOPS_API_KEY to use the skill. (2) Using the skill will upload audio/video and send your API key to text-ops-subs.com; only use it if you trust that service with the content. (3) The included download script auto-installs yt-dlp via pip at runtime (uses --break-system-packages), which modifies your environment — prefer running these scripts in an isolated environment or sandbox. (4) If you need stronger assurance, ask the publisher to fix the registry metadata to declare TEXTOPS_API_KEY, provide a formal privacy/data-retention statement, and/or run the scripts in a disposable VM to verify behavior before giving the key. If you want, I can list the exact network endpoints and files the scripts contact and modify, or produce a minimal checklist to safely test the skill in isolation.
功能分析
Type: OpenClaw Skill
Name: transcription-speech-to-text-hebrew
Version: 1.0.3
The skill bundle is a legitimate transcription tool for Hebrew and other languages using the TextOps API. It includes scripts for downloading YouTube audio (via yt-dlp), uploading files to a transcription service, and processing the results. Notably, the SKILL.md file includes proactive security instructions for the AI agent, explicitly warning it to treat transcription output as untrusted third-party data and to avoid executing any commands found within transcripts. While the download script performs automated package installation (pip install yt-dlp), this behavior is documented and necessary for the stated functionality.
能力评估
Purpose & Capability
The code and SKILL.md implement a transcription flow (local upload, YouTube download, polling TextOps endpoints) which matches the skill name/description. However the registry metadata claims no required environment variables while both SKILL.md and transcribe.py require a TEXTOPS_API_KEY — a clear metadata/claim mismatch that should be corrected.
Instruction Scope
SKILL.md confines runtime behavior to gathering files/URLs, optionally downloading YouTube audio, and running the bundled scripts. It also explicitly warns about treating transcript output as untrusted data. The instructions do not request unrelated system files or unrelated credentials.
Install Mechanism
There is no formal install spec (instruction-only), but the included scripts auto-install yt-dlp via pip at runtime (download_audio.py calls pip with --upgrade and --break-system-packages). Auto-installing packages at runtime alters the host environment and is higher-risk than a pure instruction-only skill; the packages come from PyPI (yt-dlp) which is expected for YouTube downloading.
Credentials
The skill requires a single service credential (TEXTOPS_API_KEY) used to authenticate requests to text-ops-subs.com; that is proportionate to a cloud transcription service. The main concern is that the registry metadata does not declare this required env var, so users may not be warned before installation. Also note that the API key and audio files are sent to an external service (text-ops-subs.com / agents.text-ops-subs.com), so users must trust that service with potentially sensitive audio.
Persistence & Privilege
The skill does not request 'always: true' and does not modify other skills or system-wide settings. It runs as-needed and does not request elevated platform privileges.
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 transcription-speech-to-text-hebrew - 安装完成后，直接呼叫该 Skill 的名称或使用
/transcription-speech-to-text-hebrew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
**Adds auto-response to feature/capability questions.**
- Now answers "what can you do?" (or Hebrew equivalent) with a summary of features before any transcription steps.
- Expanded SKILL.md description to mention this new trigger.
- Feature list includes YouTube downloads, speaker diarization, word-level timestamps, and supported formats.
- No code or logic changes to the transcription process.
v1.0.2
- Updated documentation, including detailed usage instructions, security guidelines, and privacy information in SKILL.md.
- Outlines specific handling for YouTube URLs, with step-by-step guidance for downloading and processing audio.
- Describes rules and checks for speaker diarization, word-level timestamps, and file handling.
- Adds explicit security measures for handling untrusted transcription output and file names.
- Provides clear setup instructions and error messages for missing API keys or unsupported file types.
元数据
常见问题
transcription-speech-to-text-hebrew 是什么？
Transcribe audio or video files using the TextOps/Modal API. Use this skill whenever the user wants to transcribe a video or audio file, mentions an mp4/mp3/... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 124 次。
如何安装 transcription-speech-to-text-hebrew？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install transcription-speech-to-text-hebrew」即可一键安装，无需额外配置。
transcription-speech-to-text-hebrew 是免费的吗？
是的，transcription-speech-to-text-hebrew 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
transcription-speech-to-text-hebrew 支持哪些平台？
transcription-speech-to-text-hebrew 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 transcription-speech-to-text-hebrew？
由 NetanelRotem（@netanelrotem）开发并维护，当前版本 v1.0.3。
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