Non Tumor Ml Research Planner

Generates structured research designs for non-tumor biomedical machine learning studies, focusing on diagnostic models, biomarker discovery, and mechanism an...

This skill appears coherent and low-risk because it is instruction-only and asks for no credentials or installs. Before installing or relying on its outputs, consider: (1) the skill produces study designs and recommended analyses but not executable code—have an experienced bioinformatician/statistician review plans and parameter choices; (2) verify dataset availability and legal/ethical permissions before using any patient data (do not paste PHI into prompts); (3) treat wet‑lab and clinical recommendations as suggestions requiring laboratory/clinical validation and IRB approval where relevant; (4) check that the suggested external packages/tools match your local environment and that you or your institution vet any code you run that implements the plan. Overall, the skill is internally consistent with its description.

Type: OpenClaw Skill Name: non-tumor-ml-research-planner Version: 0.1.0 The skill bundle is a specialized research planning tool designed to guide an AI agent in generating bioinformatics and machine learning study designs. The instructions in SKILL.md and the reference files (configurations.md, modules-and-methods.md, study-patterns.md) provide a structured framework for scientific analysis, including data preprocessing, feature selection (e.g., LASSO, Random Forest), and validation strategies. There is no evidence of malicious intent, data exfiltration, or unauthorized command execution; the content is entirely focused on providing high-quality, tiered research plans for non-tumor biomedical studies.