gemini-video-understanding

Analyze videos with Google Gemini API (summaries, Q&A, transcription with timestamps + visual context, scene/timeline detection, video clipping, FPS control,...

This skill appears to implement Google Gemini video analysis and the instructions are internally consistent with that purpose, but metadata gaps and provenance issues make it suspicious. Before installing: (1) confirm the author/source and why the registry slug references 'pedestrian-traffic-counting' if your use case is general video analysis; (2) require the skill to declare the GEMINI_API_KEY (or other credentials) in its metadata and document required IAM/billing scope; (3) understand that local videos and public YouTube URLs will be sent to Google's API—do not send private or sensitive videos unless you accept that; (4) verify billing and token lifetime for the Gemini API key and that you trust the endpoint; and (5) prefer a skill with a verifiable homepage/source or maintainer contact. If these items are resolved and provenance is clear, the skill is likely fine to use; if not, treat it as untrusted.

Type: OpenClaw Skill Name: pedestrian-traffic-counting-gemini-video-understanding Version: 0.1.0 The skill bundle provides legitimate instructions and Python code examples for using the Google Gemini API to analyze videos. It covers standard operations such as file uploads, YouTube URL processing, and structured data extraction using the official google-genai library, with no evidence of malicious intent, data exfiltration, or prompt injection attacks.