
Healthcare Eval Harness
- 4.4k installs
- 238k repo stars
- Updated August 5, 2026
- affaan-m/everything-claude-code
healthcare-eval-harness is an agent skill for evaluate healthcare ai models with clinical metrics and regulatory compliance validation harnesses.
About
The healthcare-eval-harness skill 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。. 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. - 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 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 f 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 9.
- 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
Healthcare Eval Harness by the numbers
- 4,447 all-time installs (skills.sh)
- +220 installs in the week ending Aug 5, 2026 (Skillselion tracking)
- Ranked #285 of 2,153 Testing & QA skills by installs in the Skillselion catalog
- Security screen: LOW risk (skills.sh audit)
- Data as of Aug 5, 2026 (Skillselion catalog sync)
healthcare-eval-harness capabilities & compatibility
- Capabilities
- before any deployment of emr/ehr applications · after modifying cdss logic (drug interactions, d · after changing database schemas that touch patie · after modifying authentication or access control · during ci/cd pipeline configuration for healthca
- Use cases
- testing · security audit
What healthcare-eval-harness says it does
Automated verification system for healthcare application deployments. A single CRITICAL failure blocks deployment. Patient safety is non-negotiable.
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`.
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.
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| Installs | 4.4k |
|---|---|
| repo stars | ★ 238k |
| Security audit | 3 / 3 scanners passed |
| Last updated | August 5, 2026 |
| Repository | affaan-m/everything-claude-code ↗ |
How do I evaluate healthcare ai models with clinical metrics and regulatory compliance validation harnesses with documented agent guidance?
Evaluate healthcare AI models with clinical metrics and regulatory compliance validation harnesses.
Who is it for?
Developers who need testing & qa help during ship work.
Skip if: Skip when the task falls outside Testing & QA scope described in SKILL.md.
When should I use this skill?
Evaluate healthcare AI models with clinical metrics and regulatory compliance validation harnesses.
What you get
Completed testing & qa workflow aligned with SKILL.md steps and validation.
- Automated safety test suites
- Deployment gate pass or block report
- PHI and CDSS test results
By the numbers
- Before any deployment of EMR/EHR applications
- After modifying CDSS logic (drug interactions, dose validation, scoring)
- After changing database schemas that touch patient data
Files
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 --coverage2. 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 --ci3. 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 --ci4. 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/$total)"Pass/Fail Matrix
| Category | Threshold | On Failure |
|---|---|---|
| CDSS Accuracy | 100% | BLOCK deployment |
| PHI Exposure | 100% | BLOCK deployment |
| Data Integrity | 100% | BLOCK deployment |
| Clinical Workflow | 95%+ | WARN, allow with review |
| Integration | 95%+ | WARN, allow with review |
CI/CD Integration
name: Healthcare Safety Gate
on: [push, pull_request]
jobs:
safety-gate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: '20'
- run: npm ci
# CRITICAL gates — 100% required, bail on first failure
- name: CDSS Accuracy
run: npx jest --testPathPattern='tests/cdss' --bail --ci --coverage --coverageThreshold='{"global":{"branches":80,"functions":80,"lines":80}}'
- name: PHI Exposure Check
run: npx jest --testPathPattern='tests/security/phi' --bail --ci
- name: Data Integrity
run: npx jest --testPathPattern='tests/data-integrity' --bail --ci
# HIGH gates — 95%+ required, custom threshold check
# HIGH gates — 95%+ required
- name: Clinical Workflows
run: |
TMP_JSON=$(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 ${RATE}% below 95%"
fiAnti-Patterns
- Skipping CDSS tests "because they passed last time"
- Setting CRITICAL thresholds below 100%
- Using
--no-bailon CRITICAL test suites - Mocking the CDSS engine in integration tests (must test real logic)
- Allowing deployments when safety gate is red
- Running tests without
--coverageon CDSS suites
Examples
Example 1: Run All Critical Gates Locally
npx jest --testPathPattern='tests/cdss' --bail --ci --coverage && \
npx jest --testPathPattern='tests/security/phi' --bail --ci && \
npx jest --testPathPattern='tests/data-integrity' --bail --ciExample 2: Check HIGH Gate Pass Rate
tmp_json=$(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 DEPLOYRelated skills
Forks & variants (1)
Healthcare Eval Harness has 1 known copy in the catalog totaling 1.4k installs. They canonicalize to this original listing.
- affaan-m - 1.4k installs
How it compares
healthcare-eval-harness is an agent skill for evaluate healthcare ai models with clinical metrics and regulatory compliance validation harnesses, not a generic alternative.
FAQ
Who is healthcare-eval-harness for?
Developers using Testing & QA workflows with agent-guided SKILL.md steps.
When should I use healthcare-eval-harness?
Evaluate healthcare AI models with clinical metrics and regulatory compliance validation harnesses.
Is healthcare-eval-harness safe to install?
Review the Security Audits panel on this page before installing in production.