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podcast-highlights-deck

作者 Anygen Selected Skill · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
93
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install podcast-highlights-deck
功能描述
Create a highly visual, editorial long-scroll HTML microsite from a podcast episode. Use when the user gives a podcast link (Apple Podcasts/Spotify/RSS/direc...
安全使用建议
What to check before installing: - Expect to provide or ensure availability of binaries: ffmpeg (used by the script), Python (to run scripts), and optionally yt-dlp (for YouTube audio). The manifest does not declare these — verify you have them and are comfortable the agent will call them. - Transcription: the workflow names 'anygen-speech-to-text' and OpenAI 'whisper-1' — both typically need API keys and send audio to external services. Decide whether you want to upload podcast audio (which may contain private or copyrighted content) to those services and ensure you provide keys securely if needed. - The skill will download audio and web pages (RSS, podcast pages, YouTube). Confirm you are allowed to download and reuse the source audio (copyright/legal considerations). - Template loads Google Fonts and uses import.meta.glob for local audio imports; generated site will reference external font hosts and include created mp3 files in the site assets. If you need fully offline builds or to avoid external third-party hosts, edit the template. - The clip script (scripts/clip_audio.py) runs ffmpeg via subprocess to write mp3 clips and updates highlights.json — review it (it is short and straightforward) and run it in a controlled workspace. - Because the skill doesn't declare required env vars or credentials, ask the publisher (or inspect SKILL.md/README) how transcription and translation are expected to be authenticated in your environment. If a platform injects model access automatically, verify their privacy and billing behavior. Summary recommendation: the skill appears to do what it claims, but the missing declarations about required system tools and API credentials are an important inconsistency. If you plan to use it, verify the presence of ffmpeg/python/yt-dlp and clarify how you will provide transcription/translation API keys and accept related privacy/licensing implications.
功能分析
Type: OpenClaw Skill Name: podcast-highlights-deck Version: 1.0.0 The skill bundle is a well-structured tool for creating multilingual podcast highlight microsites. It uses legitimate tools such as ffmpeg (via scripts/clip_audio.py) and yt-dlp for audio processing, and anygen-speech-to-text for transcription. The workflow in SKILL.md is transparent and aligned with the stated purpose, and the React template (Home.tsx) contains no hidden data exfiltration or malicious logic.
能力评估
Purpose & Capability
The skill's purpose (create a static highlight site with per-clip audio) matches the included template and clipping script. However, the SKILL.md expects tools like ffmpeg, yt-dlp, Python, and speech-to-text tooling (anygen-speech-to-text or OpenAI Whisper). The registry metadata lists no required binaries or environment variables, so the manifest does not declare the real runtime needs — an incoherence.
Instruction Scope
Runtime instructions direct the agent to search the web, fetch RSS/episode audio, download audio (yt-dlp fallback), transcribe audio via third‑party speech-to-text tools, split audio, clip segments, translate text, and build a site. Those steps involve network downloads, writing audio and JSON to disk, and calling external services/APIs — all expected for the task but not explicitly scoped in the skill metadata (e.g., where/with what credentials to call 'anygen-speech-to-text' or 'whisper-1' is unspecified).
Install Mechanism
No install spec (instruction-only) — lower risk for hidden installers. The skill does include code files (Python script and a TypeScript template) which will be copied into a project. The Python script invokes ffmpeg via subprocess; the skill relies on external binaries but doesn't provide or declare them.
Credentials
The SKILL.md references use of external speech-to-text services (anygen-speech-to-text and OpenAI Whisper) which normally require API keys, but requires.env/primary credential fields are empty. The skill therefore implicitly expects credentials or platform-provided tools but doesn't declare them—this mismatch is a red flag because it obscures what secrets the agent will need to access.
Persistence & Privilege
The skill is user-invocable and not always-enabled. It does not request permanent presence or modify other skills/config. It writes files into a working/project directory (normal for a site generator) but does not request elevated agent/system privileges in the manifest.
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 podcast-highlights-deck
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /podcast-highlights-deck 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 Podcast Highlights Deck skill. - Generates a premium editorial long-scroll microsite from a podcast episode link. - Curates 8–12 highlights with exact quotes, context, and editorial takeaways; each with playable original audio clips. - Supports multilingual UI and content toggle (e.g., English/Japanese/Chinese) with global switching. - Features a sticky table-of-contents and premium typography-led layout. - Delivers a static Vite-built website with all assets and audio clips included.
元数据
Slug podcast-highlights-deck
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

podcast-highlights-deck 是什么?

Create a highly visual, editorial long-scroll HTML microsite from a podcast episode. Use when the user gives a podcast link (Apple Podcasts/Spotify/RSS/direc... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 93 次。

如何安装 podcast-highlights-deck?

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

podcast-highlights-deck 是免费的吗?

是的,podcast-highlights-deck 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

podcast-highlights-deck 支持哪些平台?

podcast-highlights-deck 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 podcast-highlights-deck?

由 Anygen Selected Skill(@ken-chy129)开发并维护,当前版本 v1.0.0。

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