{"id":"destinyfrancis-openclaw-knowledge-distiller","name":"openclaw-knowledge-distiller","af_score":62.8,"security_score":57.5,"reliability_score":21.2,"what_it_does":"Provides a Python CLI (`kd`) and an MCP server to convert video URLs (YouTube/Bilibili/Facebook) into structured knowledge outputs by extracting subtitles when available, otherwise performing local ASR (Qwen3-ASR on Apple Silicon), and optionally generating summaries via external LLM providers (Google/OpenAI/Anthropic).","best_when":"You have Apple Silicon and want local transcription from videos, optionally followed by LLM summarization, and you want an MCP-based agent workflow (submit URL → poll status → fetch result).","avoid_when":"You need a publicly hosted web API, strict security controls (auditing, guaranteed secret handling), or comprehensive documentation of rate limits/retry behavior for robust automation.","last_evaluated":"2026-03-30T15:19:27.712727+00:00","has_mcp":true,"has_api":false,"auth_methods":["Environment variables / config for provider selection and API key (KD_API_KEY / api-key)"],"has_free_tier":false,"known_gotchas":["Long-running jobs require polling (`get_status`) until completion.","Subtitle availability affects behavior/performance (subtitle extraction vs ASR).","MCP tool outputs depend on chosen `format`/result phase; agents should request `get_result` with correct format.","External summarization requires correct provider/model configuration; local-only mode avoids provider keys."],"error_quality":0.0}