podcast-highlights-deck

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.