Agent skill · software engineering · affaan-m

healthcare-eval-harness

ヘルスケアAIモデル評価ハーネス、臨床メトリクス、およびレギュレーション遵守の検証。

Why this skill is useful

Adds executable scripts for automated healthcare application verification that ensure patient safety compliance, which are not commonly found in public documentation.

What it needs

Requires jest, jq installed locally. About 4k tokens when loaded. Last updated 2026-08-06. 238,342 stars on the source repository.

What this skill does

Healthcare Eval Harness — Patient Safety Verification Automated verification system for healthcare application deployments. A single CRITICAL failure blocks deployment. Patient safety is non-negotiable. Note: Examples use Jest as the reference test runner. Adapt commands for your framework (Vitest, pytest, PHPUnit, etc.) — the test categories and pass thresholds are framework-agnostic. When to Use Before any deployment of EMR/EHR applications After modifying CDSS logic (drug interactions, dose validation, scoring) After changing database schemas that touch patient data After modifying authentication or access control During CI/CD pipeline configuration for healthcare apps After resolving merge conflicts in clinical modules How It Works The eval harness runs five test categories in order. The first three (CDSS Accuracy, PHI Exposure, Data Integrity) are CRITICAL gates requiring 100% pass rate — a single failure blocks deployment. The remaining two (Clinical Workflow, Integration) are HIGH gates requiring 95%+ pass rate. Each category maps to a Jest test path pattern. The CI pipeline runs CRITICAL gates with --bail (stop on first failure) and enforces coverage thresholds with --coverage --coverageThreshold. Eval Categories 1. CDSS Accuracy (CRITICAL — 100% required) Tests all clinical decision support logic: drug interaction pairs (both directions), dose validation rules, clinical scoring vs published specs, no false negatives, no silent failures. 2. PHI Exposure (CRITICAL — 100% required) Tests for protected health information leaks: API error responses, console output, URL parameters, browser storage, cross-facility isolation, unauthenticated access, service role key absence. 3. Data Integrity (CRITICAL — 100% required) Tests clinical data safety: locked encounters, audit trail entries, cascade delete protection, concurrent edit handling, no orphaned records. 4. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills affaan-m/healthcare-eval-harness--d08d78

View the source on GitHub

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