Scientific Agent Skills: A Library of Procedural Knowledge for Research Agents

2026-08-30

AI Summary

为解决科研代理生成代码的合理性问题，本文提出Scientific Agent Skills库，包含163个在16个研究领域的程序知识。

Abstract

A language-model agent asked to analyse an experiment will usually return working code. Whether the analysis is defensible is a different question. A defensible analysis depends on procedural choices: which test the field accepts, which identifier namespace is authoritative, and which caveats must accompany a result. We present Scientific Agent Skills, an open library of 163 such procedures in 16 areas of practice, including genomics, cheminformatics, medical imaging, study design and scientific communication. Each skill is a directory built around a versioned, human-readable instruction file. An agent loads the file only when a task calls for it; the directory often also contains reference material and runnable scripts. We report no task-level evaluation and no host selection rate. Openly licensed and available at https://github.com/K-Dense-AI/scientific-agent-skills.

Problem

• Procedural Knowledge
• Research Agents
• Defensible Analysis
• Scientific Communication

Innovation

• Scientific Agent Skills
• Procedural Knowledge
• Open Library
• Research Agents
• Defensible Analysis