Two Sample Mr Research Planner

Generates complete two-sample Mendelian randomization study designs with four workload plans and workflow steps based on user-specified exposures and outcomes.

This skill appears coherent and documentation-rich, but before you rely on or run any generated code: (1) Review and validate all assumptions the planner lists (ancestry, GWAS IDs, sample overlap). (2) Do not execute generated R code until you inspect it and replace any placeholder 'EXAMPLE ID' GWAS identifiers with the correct, ethically-sourced IDs. (3) Confirm any recommended external GWAS datasets are appropriate and accessible for your use (and that you have permission where required). (4) Treat outputs as study design guidance — verify statistical choices (clumping thresholds, p-value thresholds, IV filters) against your data and Institutional policies. (5) Because the skill can infer defaults when input is sparse, explicitly provide constraints (time, data access, target journal) to avoid undesirable assumptions.

Type: OpenClaw Skill Name: two-sample-mr-research-planner-2 Version: 0.1.0 The skill bundle is a specialized tool for designing Mendelian randomization research studies. It contains structured instructions (SKILL.md), scientific reference data (gwas_databases.md, iv_benchmarks.md), and a template for R code using standard bioinformatics libraries (TwoSampleMR, MRPRESSO). The instructions include robust input validation and 'Hard Rules' to ensure scientific integrity and prevent out-of-scope usage. There is no evidence of malicious intent, data exfiltration, or prompt injection; the provided R code is clearly labeled as example-only and includes safety checks to prevent invalid analysis.