dyn-object-masks

• Verdict: Pass
• Confidence: High
• Analyzed: Apr 14, 2026, 7:18 PM
• Findings: 0
• Version: 0.1.0

Overview

The skill's instructions are coherent with its stated purpose (generating sparse dynamic-object masks); it does not request unrelated credentials or suspicious system access, though it implicitly requires Python libraries that are not declared.

This skill appears internally consistent and focused on computing sparse dynamic-object masks. Before installing or running it, verify the runtime has Python with numpy and OpenCV (cv2) available, or ask the author to include an explicit install/dependency spec. Review what image frames (prev_gray, curr_gray) and transforms (M) the agent will be given and avoid feeding sensitive video if you don't want it processed. If you want stricter controls, request the skill declare its dependencies (pip packages or a container) and exact input/output data formats to reduce ambiguity.