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bio-logiclisted

Evaluate scientific claims, methods, biases, and evidence strength. Use when stress-testing a study design, paper, analysis, or causal interpretation.
fmschulz/omics-skills · ★ 7 · AI & Automation · score 64
Install: claude install-skill fmschulz/omics-skills
# Bio-Logic: Scientific Reasoning Evaluation Use structured frameworks to evaluate scientific claims, methodology, and evidence strength. ## Instructions 1. Identify the task (claim assessment, paper critique, study design review, project interpretation, or hypothesis revision). 2. For project work, maintain a hypothesis register with at least 5 distinct active hypotheses until the project is no longer exploratory. 3. After each major intermediate result, reflect on what changed, revise hypothesis status, and identify the next discriminating check. 4. When findings need context, pair this reasoning with a literature-search skill such as `/polars-dovmed`, then revise hypotheses against the literature. 5. Select the study-type profile before applying a checklist. Do not grade a computational benchmark, phylogenetic analysis, or evolutionary inference as if it were an intervention trial. 6. Structure output using the provided format. ### Study-Type Profiles | Profile | Main evidence checks | Rating language | |---|---|---| | Intervention | allocation, controls, adherence, attrition, estimand, harms | GRADE when the review question and evidence synthesis support it | | Observational or quasi-experimental | identification assumptions, temporality, confounding, negative controls, sensitivity analyses | risk-of-bias plus causal-confidence statement | | Computational or machine learning | data provenance, leakage, splits, baselines, calibration, external validation, reprod