Youtube Audio

extract YouTube video URL into extracted audio track with this skill. Works with MP4, MOV, WebM, AVI files up to 500MB. content creators use it for extractin...

What to consider before installing: - This skill uploads videos (up to 500MB) to an external service (mega-api-prod.nemovideo.ai). Do not send sensitive or private content unless you trust that service and have reviewed its privacy/retention policy. - The skill will send your NEMO_TOKEN as an Authorization bearer token on every API call. Only provide a token you control and trust; if you have a long-lived token in your environment, it will be used. - If no token is present, the skill will obtain an anonymous token automatically by POSTing to the service (it generates a UUID client id). That gives temporary credentials to the remote service — again, consider whether you want automated credential creation. - There is a mismatch between the registry metadata (no config paths) and the SKILL.md frontmatter (~/.config/nemovideo/). Ask the publisher which is correct if you care about local config exposure. - The skill's name implies 'audio extraction' but the instructions implement a broader video-edit/render workflow (edits, overlays, SSE streams). If you only need lightweight local audio extraction, a local tool (ffmpeg) would avoid uploading your files. - If you proceed, test with a non-sensitive sample file first to confirm behavior, headers sent, and that outputs meet expectations. If you want, I can: (a) extract the exact API calls and headers this skill will send for a sample request, or (b) suggest a purely local alternative using ffmpeg so nothing leaves your machine.

Type: OpenClaw Skill Name: youtube-audio Version: 1.0.0 The skill is a functional API wrapper for a third-party video processing service (nemovideo.ai). It provides detailed instructions for the agent to handle authentication via tokens, manage user sessions, and map natural language prompts to specific REST API endpoints for audio/video extraction. While it includes instructions to manage the agent's persona (e.g., hiding technical details) and performs basic environment fingerprinting for attribution headers, these behaviors are consistent with the stated purpose of the tool and do not show evidence of malicious intent, data exfiltration, or unauthorized system access.