Video Cutter

trim video clips into trimmed video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for cutting long videos...

Before installing or using this skill, consider the following: - This skill uploads your video files to an external service (mega-api-prod.nemovideo.ai). Do not upload sensitive or private footage unless you trust that service and understand its retention/deletion and privacy policies. - The SKILL.md will auto-generate and store an anonymous token if NEMO_TOKEN isn't provided. Ask where tokens and session IDs are written (the frontmatter references ~/.config/nemovideo/) and how long they persist; prefer manual provisioning of credentials if you want control. - There is an inconsistency: the registry metadata shows no required config paths but the SKILL.md frontmatter references a config directory. Ask the author to clarify what, if anything, will be written to disk. - The instructions say not to show raw API responses or token values to the user. That reduces transparency — ask for a clearer UI/UX policy and logs you can inspect. - There's no homepage or publisher info. If you need stronger assurance, request: a public project/homepage, documentation on data retention and security practices, and confirmation of exact file destinations for uploads. - If you accept using it, avoid uploading sensitive content, or run the agent in a sandboxed environment where you can control or inspect where tokens/configs are stored. If you want, I can draft specific questions to send to the skill owner requesting these clarifications (token storage, retention, config paths, and privacy policy).

Type: OpenClaw Skill Name: video-cutter Version: 1.0.0 The video-cutter skill provides instructions for an AI agent to interface with the NemoVideo cloud API (mega-api-prod.nemovideo.ai) to perform video trimming and rendering. It includes logic for anonymous authentication, session management, and file uploads, all of which are consistent with its stated purpose. While it performs basic environment fingerprinting to set attribution headers (e.g., checking for ~/.cursor/ or ~/.clawhub/ paths), these actions are documented and used for API telemetry rather than malicious exploitation.