Agent skill · Testing & QA

healthcare-eval-harness

Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.

mturacgithub.com/mturacGitHub ↗
codexcopilotcursorMIT
Install
npx skills add mturac/everything-openai-codex --skill healthcare-eval-harness --agent codex

Same command for any agent — swap --agent for claude-code, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 8 KB
Bundled scripts: none
Version: 1.0.0
Path: skills/healthcare-eval-harness/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 84
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 cove

What's inside
Steps it walks through
  1. When to Use
  2. How It Works
  3. Eval Categories
  4. Pass/Fail Matrix
  5. CI/CD Integration
  6. Anti-Patterns
  7. Examples
  8. Example 1: Run All Critical Gates Locally
  9. Example 2: Check HIGH Gate Pass Rate
  10. Example 3: Eval Report
Commands it runs
npx jest --testPathPattern='tests/cdss' --bail --ci --coverage
npx jest --testPathPattern='tests/security/phi' --bail --ci
npx jest --testPathPattern='tests/data-integrity' --bail --ci
npx jest --testPathPattern='tests/clinical' --ci --json --outputFile="$tmp_json" || true
if [ "$total" -eq 0 ]; then
echo "No clinical tests found" >&2
exit 1
fi
echo "Clinical pass rate: ${rate}% ($passed/$total)"
npx jest --testPathPattern='tests/integration' --ci --json --outputFile="$tmp_json" || true
More from everything-openai-codex
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About this skill
What does the healthcare-eval-harness skill do?

Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.

How do I install it?

Run `npx skills add mturac/everything-openai-codex --skill healthcare-eval-harness --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going