Run a pre-flight checklist to identify seven AI research failure modes.
npx skills add https://github.com/fkguo/nullius --skill research-integrity
Please help me install this Agent Skill. Skill: research-integrity Source: https://github.com/fkguo/nullius/tree/main/skills/research-integrity Command: npx skills add https://github.com/fkguo/nullius --skill research-integrity
This Skill provides a comprehensive checklist for research agents to identify and prevent seven common AI research failure modes before work becomes durable.
Run the research-integrity skill to perform a pre-flight checklist on your research work.
High-intent search queries and answers about installing and using this skill.
You can verify AI research integrity by running a pre-flight checklist that identifies seven common failure modes (M1-M7) across research stages, ensuring work meets standards before becoming durable.
AI research failure modes M1-M7 represent recurring errors across research stages. Prevent them by applying a pre-flight checklist that requires manual verification before work crosses approval boundaries or becomes durable.
Yes, you can use this research integrity checklist for any academic domain because it is domain-neutral. It provides generic applicability to ensure diverse fields meet consistent verification standards before work becomes durable.
Run a pre-flight verification checklist before your research work crosses approval boundaries or gets folded into durable artifacts, specifically when finalizing research results or writing conclusions.
AI research verification requires manual verification and adherence to research integrity standards. The checklist identifies failure modes but relies on human oversight to ensure compliance before work becomes durable.
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