summerizeryoutube

Generates structured summaries and context-based Q&A from YouTube transcripts with multi-language support, ensuring accuracy and no hallucinations.

This skill appears to be a straightforward instruction-only YouTube summarizer that expects a local backend at http://localhost:8000 to do transcript fetching, chunking, embeddings, and retrieval. Before installing or enabling it: (1) confirm you run and control the local service it calls — the agent will send video URLs and user questions to that service; (2) audit that local service code for any external calls or credential usage (the skill itself declares none); (3) if you do not run a local backend, the skill's tool calls will fail; (4) note the minor mismatch where skill.json mentions 'Telegram' — check whether this is relevant to your deployment; (5) if you need stricter privacy, run the backend in a sandbox or add authentication to the localhost endpoints so untrusted local processes cannot intercept user data.

Type: OpenClaw Skill Name: youtube-summerizer Version: 1.0.0 The skill bundle defines a YouTube summarizer and Q&A assistant. The `skill.md` provides clear, well-guarded instructions for the AI agent, focusing on tool usage and preventing hallucinations. The `skill.json` defines two tools (`process_video`, `retrieve_chunks`) that interact with a local service at `http://localhost:8000`. While interaction with a local service could be a vector for vulnerabilities if the service itself is malicious, the provided files contain no evidence of intentional harmful behavior, data exfiltration, persistence, or malicious prompt injection. The `localhost` calls are consistent with a local-first skill requiring a companion backend service.