← All skills

De-identification

/deidentifyNEW
Data & Study Design

What it does

De-identify clinical research data before LLM-assisted analysis. Standalone Python CLI with 10 country locale packs. No LLM involved.

Highlights

  • ✓PHI detection via regex + heuristics
  • ✓Interactive terminal review
  • ✓Date shifting & pseudonymization

Install this skill

git clone https://github.com/aperivue/medsci-skills.git
cp -r medsci-skills/skills/deidentify ~/.claude/skills/
Full documentation→View source on GitHub

Related skills

Study Design/design-study

Identifies analysis unit, cohort logic, data leakage risks, and validation strategy.

Sample Size Calculator/calc-sample-size

Interactive sample size calculator with decision-tree guided test selection. Covers 11 designs including Cox regression EPV.

Data Cleaning/clean-data

Standardize, validate, and transform raw research datasets. Handles missing data, outlier detection, and variable recoding.

Variable Operationalization/define-variables

Literature-grounded variable operationalization for observational research. Turns a data dictionary plus research question into a citation-backed table of exposure / outcome / covariate definitions, cutoffs, and DB-variable mappings. Tier 0 dictionary-first rule prevents ad-hoc phenotype definitions that invite reviewer rejection.