Bilibili Transcriber

This skill appears to implement the described Bilibili -> transcription -> summary flow, but take these precautions before installing: - Credential caution: The cloud path requires DASHSCOPE_API_KEY (Paraformer). The code will also accept OPENAI_API_KEY and send it as a Bearer token to dashscope.aliyuncs.com — do not set your OpenAI key as a convenience fallback unless you understand that it will be sent to a third party. - Privacy: Using cloud transcribe uploads your audio to dashscope.aliyuncs.com / OSS temporary storage. If the audio contains sensitive information, prefer the local faster-whisper path. - Model downloads and mirrors: The skill sets HF endpoint to a mirror and can download models via ModelScope/snapshot_download. Only proceed if you trust those hosts (hf-mirror.com / ModelScope / the model owners listed). Consider running in an isolated environment if you are concerned. - Registry mismatch: The registry metadata did not declare required environment variables, but the code and SKILL.md do. Treat the skill as requiring optional cloud credentials and verify any env vars before exporting them. - Operational safety: The skill runs network I/O (calls Bilibili APIs, downloads audio, posts to Paraformer, downloads models). Review the included Python files yourself or run the skill in a sandbox/VM if you have limited trust. If you only want local transcription, do not set DASHSCOPE_API_KEY / OPENAI_API_KEY and ensure faster-whisper, yt-dlp and ffmpeg are installed locally; then the skill will fall back to offline transcription.