What problem does it solve? Researchers facing ethical gray areas—such as removing outliers, handling authorship disputes, reusing code, or responding to sponsor pressure—often lack a structured way to assess what is permissible. This Skill identifies integrity risks, blocks unsafe actions like data fabrication or anomaly hiding, and redirects toward transparent, defensible research practices. ## Core Features & Use Cases - Integrity Risk Assessment: Classifies situations by risk level (Low/Medium/High/Stop and escalate) and applies a structured ethical dilemma protocol covering stakeholders, obligations, and consequences. - Conditional Guidance: Provides targeted protocols for cherry-picking and anomaly removal, authorship and contribution disputes, plagiarism and code reuse, and sponsor or funding pressure. - Bilingual Korean/English Advising: Detects user language and responds accordingly while preserving technical terms, citations, and notation in original form. - Use Case: A graduate student is pressured to delete anomalous sensor readings that weaken a paper's conclusion. The Skill stops the deletion, requires an anomaly log and sensitivity analysis, and recommends transparent reporting and advisor consultation. ## Quick Start Ask the advisor to evaluate your ethical dilemma by describing the situation, stakeholders, data involved, and any deadline or sponsor pressure, and request the risks and defensible next steps.
