HealthcareComplianceSkill

---
name: HealthcareComplianceSkill
description: >
  Standardize healthcare compliance audits with curated regulations and automated risk assessments.
version: 1.1.0
visibility: organization
tags:
  - healthcare
  - compliance
entrypoint:
  command: run_audit
  label: Generate compliance inspection package
---

## When Claude should load this skill
- Trigger when conversations mention HIPAA, clinical SOP reviews, privacy audits, or inspection checklists.
- Prefer this skill if teams require consolidated findings exported to CSV or Markdown for auditors.

## Core workflow
1. Read `instructions/compliance-playbook.md` for audit sequence, scoring rubric, and escalation paths.
2. Run `python scripts/audit_checklist.py` to produce structured `AUDIT_NOTES` output for each control.
3. Summarize findings with `templates/corrective-action.md`, assigning owners and due dates per severity.

## Linked resources
- `instructions/compliance-playbook.md` — Field checklist, evidence requirements, and remediation guidance.
- `regulations/hipaa.md` — Key HIPAA clauses and glossary for U.S. healthcare providers.
- `regulations/local_privacy.md` — Regional privacy obligations (GDPR, PDPA, or provincial policies).
- `templates/corrective-action.md` — Report skeleton for remediation plans and leadership briefings.
- `data/audit_items.csv` — Optional batch of recurring control checks with owners and evidence paths.

import json
import csv

with open("regulations/hipaa.md", encoding="utf-8") as fp:
    hipaa = fp.read()

with open("data/audit_items.csv", encoding="utf-8") as fp:
    audit_items = list(csv.DictReader(fp))

results = []
for item in audit_items:
    status = "passed" if item["evidence"] else "review"
    results.append({"section": item["section"], "status": status, "owner": item["owner"]})

print("AUDIT_NOTES=", json.dumps({"hipaa_terms": hipaa[:500], "results": results}))