Skip to content
cccskills
FreePublished on GitHubEnglish overview

healthcare-eval-harness

Set up deployment checks for healthcare applications covering clinical decision support, patient information exposure, data integrity, workflows, and integrations. Block releases when critical tests fail, and flag lower workflow or integration pass rates for review.

OriginalShow the original description

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. Use when a healthcare deployment must be gated on patient-safety tests for CDSS accuracy, PHI exposure, and workflow integrity.

AI rating80/ 100See how to install

Good for

  • Checking an electronic health record application before deployment
  • Testing changes to drug interactions or dose validation
  • Checking patient data exposure after access control changes
  • Adding patient safety checks to a CI/CD pipeline

Overview

What it does

Sets up a system for running patient safety tests before a healthcare application is released. It checks five areas: the accuracy of clinical decision support systems (CDSS), exposure of protected health information (PHI), data integrity, clinical workflows, and connections to external systems. The first three are critical areas and require every test to pass. A single failure stops deployment.

When it helps

Use it before releasing an electronic health record application or after changing drug interaction checks or dose validation logic. It also applies after changes to patient data structures, authentication, or access controls, and when adding safety checks to a CI/CD process for continuous testing and releases.

Example requests

  • "Run the critical safety tests after my changes to dose validation."
  • "Configure the release process to stop if patient information exposure or data integrity tests fail."

Notes

Examples use Jest; commands need adjustment for other test environments. Pass rate calculations use jq and bc. Clinical workflow and external integration tests require a pass rate of at least 95%; lower rates trigger warnings and review. CDSS integration tests must check the actual logic rather than replacing it with mocks.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Objective evaluation

AI rated this skill on four points using only the contents of its SKILL.md. Stars and popularity are not taken into account.

Clear instructionsIs it clear when to use it and what it does?
AGoodIt specifies when to test healthcare applications, five test categories, and the failures that block release.
Concrete stepsAre steps, inputs, outputs, and examples spelled out?
AGoodIt includes Jest commands, pass rate thresholds, CI/CD configuration, and an example results report.
SafetyAre sending data, deleting files, and running commands disclosed?
BPartly lackingIt runs tests involving patient data, but does not describe how to isolate the test environment.
Easy setupDoes it need few tools or API keys, and are they documented?
BPartly lackingIt uses Jest, `jq`, and `bc`, but does not explain test suite preparation or installation of those tools.

The total counts each point as A = 25, B = 15, C = 5. Rated by AI (OpenAI Codex) as of Oct 19, 2026. Treat it as a guide and read the original before installing.

Disagree? Request a re-evaluation

Tell us which point is wrong and why. No login needed. We will check it against the SKILL.md, redo the evaluation, and show the result here.

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

Files included (1)

  • SKILL.md7.7 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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.

npx jest --testPathPattern='tests/cdss' --bail --ci --coverage

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.

npx jest --testPathPattern='tests/security/phi' --bail --ci

3. Data Integrity (CRITICAL — 100% required)

Tests clinical data safety: locked encounters, audit trail entries, cascade delete protection, concurrent edit handling, no orphaned records.

npx jest --testPathPattern='tests/data-integrity' --bail --ci

4. Clinical Workflow (HIGH — 95%+ required)

Tests end-to-end flows: encounter lifecycle, template rendering, medication sets, drug/diagnosis search, prescription PDF, red flag alerts.

tmp_json=$(mktemp)
npx jest --testPathPattern='tests/clinical' --ci --json --outputFile="$tmp_json" || true
total=$(jq '.numTotalTests // 0' "$tmp_json")
passed=$(jq '.numPassedTests // 0' "$tmp_json")
if [ "$total" -eq 0 ]; then
  echo "No clinical tests found" >&2
  exit 1
fi
rate=$(echo "scale=2; $passed * 100 / $total" | bc)
echo "Clinical pass rate: ${rate}% ($passed/$total)"

5. Integration Compliance (HIGH — 95%+ required)

Tests external systems: HL7 message parsing (v2.x), FHIR validation, lab result mapping, malformed message handling.

tmp_json=$(mktemp)
npx jest --testPathPattern='tests/integration' --ci --json --outputFile="$tmp_json" || true
total=$(jq '.numTotalTests // 0' "$tmp_json")
passed=$(jq '.numPassedTests // 0' "$tmp_json")
if [ "$total" -eq 0 ]; then
  echo "No integration tests found" >&2
  exit 1
fi
rate=$(echo "scale=2; $passed * 100 / $total" | bc)
echo "Integration pass rate: ${rate}% ($passed/$total)"

Pass/Fail Matrix

CategoryThresholdOn Failure
CDSS Accuracy100%BLOCK deployment
PHI Exposure100%BLOCK deployment
Data Integrity100%BLOCK deployment
Clinical Workflow95%+WARN, allow with review
Integration95%+WARN, allow with review

CI/CD Integration

name: Healthcare Safety Gate
on: [push, pull_request]

jobs:
  safety-gate:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '20'
      - run: npm ci

      # CRITICAL gates — 100% required, bail on first failure
      - name: CDSS Accuracy
        run: npx jest --testPathPattern='tests/cdss' --bail --ci --coverage --coverageThreshold='{"global":{"branches":80,"functions":80,"lines":80}}'

      - name: PHI Exposure Check
        run: npx jest --testPathPattern='tests/security/phi' --bail --ci

      - name: Data Integrity
        run: npx jest --testPathPattern='tests/data-integrity' --bail --ci

      # HIGH gates — 95%+ required, custom threshold check
      # HIGH gates — 95%+ required
      - name: Clinical Workflows
        run: |
          TMP_JSON=$(mktemp)
          npx jest --testPathPattern='tests/clinical' --ci --json --outputFile="$TMP_JSON" || true
          TOTAL=$(jq '.numTotalTests // 0' "$TMP_JSON")
          PASSED=$(jq '.numPassedTests // 0' "$TMP_JSON")
          if [ "$TOTAL" -eq 0 ]; then
            echo "::error::No clinical tests found"; exit 1
          fi
          RATE=$(echo "scale=2; $PASSED * 100 / $TOTAL" | bc)
          echo "Pass rate: ${RATE}% ($PASSED/$TOTAL)"
          if (( $(echo "$RATE < 95" | bc -l) )); then
            echo "::warning::Clinical pass rate ${RATE}% below 95%"
          fi

      - name: Integration Compliance
        run: |
          TMP_JSON=$(mktemp)
          npx jest --testPathPattern='tests/integration' --ci --json --outputFile="$TMP_JSON" || true
          TOTAL=$(jq '.numTotalTests // 0' "$TMP_JSON")
          PASSED=$(jq '.numPassedTests // 0' "$TMP_JSON")
          if [ "$TOTAL" -eq 0 ]; then
            echo "::error::No integration tests found"; exit 1
          fi
          RATE=$(echo "scale=2; $PASSED * 100 / $TOTAL" | bc)
          echo "Pass rate: ${RATE}% ($PASSED/$TOTAL)"
          if (( $(echo "$RATE < 95" | bc -l) )); then
            echo "::warning::Integration pass rate ${RATE}% below 95%"
          fi

Anti-Patterns

  • Skipping CDSS tests "because they passed last time"
  • Setting CRITICAL thresholds below 100%
  • Using --no-bail on CRITICAL test suites
  • Mocking the CDSS engine in integration tests (must test real logic)
  • Allowing deployments when safety gate is red
  • Running tests without --coverage on CDSS suites

Examples

Example 1: Run All Critical Gates Locally

npx jest --testPathPattern='tests/cdss' --bail --ci --coverage && \
npx jest --testPathPattern='tests/security/phi' --bail --ci && \
npx jest --testPathPattern='tests/data-integrity' --bail --ci

Example 2: Check HIGH Gate Pass Rate

tmp_json=$(mktemp)
npx jest --testPathPattern='tests/clinical' --ci --json --outputFile="$tmp_json" || true
jq '{
  passed: (.numPassedTests // 0),
  total: (.numTotalTests // 0),
  rate: (if (.numTotalTests // 0) == 0 then 0 else ((.numPassedTests // 0) / (.numTotalTests // 1) * 100) end)
}' "$tmp_json"
# Expected: { "passed": 21, "total": 22, "rate": 95.45 }

Example 3: Eval Report

## Healthcare Eval: 2026-03-27 [commit abc1234]

### Patient Safety: PASS

| Category | Tests | Pass | Fail | Status |
|----------|-------|------|------|--------|
| CDSS Accuracy | 39 | 39 | 0 | PASS |
| PHI Exposure | 8 | 8 | 0 | PASS |
| Data Integrity | 12 | 12 | 0 | PASS |
| Clinical Workflow | 22 | 21 | 1 | 95.5% PASS |
| Integration | 6 | 6 | 0 | PASS |

### Coverage: 84% (target: 80%+)
### Verdict: SAFE TO DEPLOY

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

accessibility

FreeSummaryAI rating 100

Design and audit interfaces for Web, iOS, and Android using WCAG 2.2 accessibility guidance. Check screen-reader labels, keyboard navigation, contrast, and control sizes to identify barriers and guide implementation for people using assistive technology.

  • Adding descriptive labels to icon-only buttons
  • Reviewing keyboard navigation and modal focus
  • Checking contrast and control sizes
affaan-m/ECC286.6KUpdated Oct 21, 2026

agent-architecture-audit

FreeSummaryAI rating 80

Investigate unreliable AI agents across 12 layers, including instructions, memory, tool execution, and display. Use code and logs to trace failures, rank findings by severity, and produce an ordered repair plan that prioritizes code changes.

  • Investigating failures that appear only inside an agent application
  • Tracing old conversation content leaking into new sessions
  • Checking skipped or falsely claimed tool execution
affaan-m/ECC286.6KUpdated Oct 21, 2026

agent-eval

FreeSummaryAI rating 80

Compare coding agents on tasks from your own codebase. Define success checks, run agents in separate Git working directories, and report pass rates, available API costs, completion time, and consistency across repeated trials.

  • Comparing coding agents on real development tasks
  • Evaluating a new tool or model before adoption
  • Checking performance after agent updates
affaan-m/ECC286.6KUpdated Oct 21, 2026

agent-harness-construction

FreeSummaryAI rating 100

Design and refine an AI agent’s available actions, tool inputs, and result formats. Define recovery steps for errors, manage the information kept in context, and evaluate changes through completion rates, retries, and cost per successful task.

  • Define an AI agent’s tool set and input formats
  • Make tool results and next steps easier to interpret
  • Specify safe retries and stopping conditions
affaan-m/ECC286.6KUpdated Oct 21, 2026

agent-introspection-debugging

FreeSummaryAI rating 100

Diagnose failed AI agent runs by capturing errors, checking likely causes, and choosing small, reversible recovery actions. The workflow produces a structured report of the failure, recovery steps, and evidence, helping explain repeated retries or stalled progress.

  • Diagnosing repeated tool calls with no progress
  • Investigating quality loss as context grows
  • Checking file paths and environment mismatches
affaan-m/ECC286.6KUpdated Oct 21, 2026

agent-introspection-debugging

FreeSummaryAI rating 100

Diagnose AI agent runs that fail repeatedly, loop through tools, or lose track of the task. Capture errors and environment details, test a focused recovery action, and produce a report explaining the evidence and outcome.

  • Diagnosing repeated failures in an agent run
  • Investigating loops through the same tool calls
  • Reviewing output degradation as context grows
affaan-m/ECC286.6KUpdated Oct 5, 2026

See all skills by affaan-m

Report a problem with this skill