lab-unit-harmonization

• Verdict: Pass
• Confidence: High
• Analyzed: Apr 15, 2026, 7:44 PM
• Findings: 0
• Version: 0.1.0

Overview

This is an instruction-only lab-data harmonization guide that is internally consistent with its stated purpose and requests no credentials or installs, but several recommended preprocessing choices are heavy-handed and could harm data quality if used blindly.

This skill is a coherent, instruction-only guide for harmonizing lab data and does not request credentials or install code. Before using it on real data: 1) Do NOT blindly drop all rows with any missing value — consider imputation, partial-panel strategies, or domain-specific rules. 2) Test the parse and conversion logic on representative samples (watch out for thousand separators vs European decimal commas). 3) Validate unit-detection on edge cases (some analytes have overlapping numeric ranges across units). 4) Confirm conversion factors in your clinical context and verify any computed clinical ranges. 5) If you will run these instructions on PHI, ensure the execution environment is compliant with your data-protection policies (HIPAA/GDPR) and that logging or outputs won’t leak patient data. If you want, I can point out specific lines in the SKILL.md to adapt (e.g., safer missing-data handling, more robust numeric parsing, and conservative unit-detection heuristics).