病害知识库流程编排技能

病害知识库流程编排技能，负责串联图片检测、特征提取、向量检索、图文匹配全流程，输出完整的病害诊断结果和解决方案。

Key issues to consider before installing: - Missing runtime: The README shows using scripts.orchestrator.DiseasePipeline, but that file/class is not included — ask the author for the orchestrator implementation. - Inconsistent paths and dims: Multiple scripts use different index paths and vector dimensions (768 vs 1024) — this will cause runtime errors and indicates sloppy packaging. - Cross-skill imports and wide file reads: Scripts append /root/.OpenClaw/workspace to sys.path and walk workspace directories to read images/text and metadata. That means the skill can read and execute code from other skills and access arbitrary files in the agent workspace. Confirm you trust the workspace contents. - Network/model downloads: Transformers.from_pretrained will fetch models from external hosts (Hugging Face). Be prepared for large downloads and verify which models will be fetched. - Recommended actions: do not run this in an unrestricted production agent. Request the missing orchestrator file and a clear README of which workspace paths are needed. Verify and harmonize index paths/dimensions, remove or document any cross-skill imports, and test in a sandboxed environment with network and filesystem restrictions enabled. If you must run it, inspect the orchestrator implementation and dependent embedding code (skills.image_embedding) first.

Type: OpenClaw Skill Name: pipeline-orchestrator Version: 1.0.0 The pipeline-orchestrator skill bundle is designed for agricultural disease diagnosis using multi-modal retrieval (image and text). The included Python scripts (e.g., scripts/build_index.py and scripts/build_indexes.py) facilitate the creation of FAISS vector indexes using standard HuggingFace models (DINO, text2vec). The code follows the stated purpose of orchestrating a diagnostic workflow and does not exhibit signs of data exfiltration, malicious execution, or prompt injection attacks.