Scientific Thinking

Use when interpreting research findings, evaluating scientific evidence, analyzing mechanisms, comparing competing hypotheses, designing experiments, or cons...

This is an instruction-only meta-skill that appears coherent and low-risk: it asks the agent to follow a structured reasoning checklist and does not request secrets or install binaries. Before installing, note that README suggests cloning the repo into your user skill directories (which will write files under your home). Also be aware that the skill's instruction to 'retrieve' missing evidence implies the agent may use whatever tools or web access it already has; if you run the agent with web or file access enabled, expect it may fetch external sources — review tool permissions and prefer agents with restricted external access if you want to limit network/file activity. Finally, as with any reasoning skill, verify important factual claims with primary sources and request explicit citations when needed.

Type: OpenClaw Skill Name: scientific-thinking Version: 1.0.0 The 'scientific-thinking' skill bundle is a collection of Markdown and YAML instructions designed to guide an AI agent through structured, evidence-based reasoning for research tasks. It contains no executable code, shell commands, or network requests, and its instructions (SKILL.md, checks.md, examples.md) are entirely focused on logical decomposition, evidence calibration, and scientific integrity without any indicators of malicious intent or prompt injection attacks.