图片向量嵌入技能，支持将病害图片转换为特征向量，用于后续的图片检索和相似度匹配。适用于病害知识库的图片特征提取、向量入库等场景。

This skill's documentation promises a real pretrained image embedding model and lists heavy ML dependencies, but the included code is a placeholder that returns random vectors. Before installing or using it: (1) don't assume outputs are meaningful — test with known inputs to verify vectors (e.g., check reproducibility, normalization, similarity behavior); (2) avoid blindly running 'pip install' of large ML libraries unless you actually need them — the shipped code only needs numpy; (3) ask the author for the real model implementation or for SKILL.md to be corrected (provide model weights, license, inference code, and how normalization/batch limits are enforced); (4) if you need production embeddings, prefer a skill with explicit, auditable model code or a link to a trusted model/release. If the author supplies a true model implementation that matches the docs, re-evaluate; otherwise treat this as untrusted/testing-only code.

Type: OpenClaw Skill Name: image-embedding Version: 1.0.0 The skill provides a placeholder implementation for image feature extraction (embedding) for disease-related images. The code in scripts/embedding.py is a simple mock that returns random vectors, and the SKILL.md documentation describes standard usage of common machine learning libraries (torch, torchvision, transformers) without any malicious instructions or suspicious behaviors.