S2 多模态融合与空间预测引擎

Instructs the Embodied AI on how to process incoming multimodal sensor data (LiDAR, Camera, Tactile), avoid visual illusions, and output 1s-60s physical caus...

This skill appears internally consistent and self-contained. Before installing: (1) verify the execute_multimodal_fusion tool implementation and its permissions (ensure it does not forward sensor data off-device), (2) run the handler in a safe simulation with synthetic sensor inputs to confirm behavior, (3) confirm you are comfortable with the explicit exclusion of PIR sensors (ensure you are not removing required redundancy), and (4) if you need stronger isolation, restrict or audit the plugin's runtime environment to prevent unexpected file or network access even though none is present in the provided files.

Type: OpenClaw Skill Name: s2-multimodal-fusion-predictor Version: 1.0.0 The skill bundle implements a multimodal sensor fusion engine for embodied AI, designed to resolve physical illusions (e.g., detecting glass or holograms) by cross-validating LiDAR, camera, and tactile data. The Python logic in handler.py is purely computational, and the instructions in SKILL.md are strictly aligned with the stated purpose of physical causal prediction. No indicators of data exfiltration, malicious execution, or prompt injection were found.