hipaa-compliance
Specific entry point for healthcare privacy and security work under HIPAA.
What it does
This tool helps ensure US healthcare systems follow patient data privacy and security rules (HIPAA). It checks if sensitive information is protected and access is controlled.
When to use it
- ✓When building software for US clinics or hospitals.
- ✓When the system handles patient health information.
- ✓When assessing if external tools can access patient data.
Example of what to ask your AI
“I need to build an appointment scheduling system that is HIPAA compliant.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It acts as an extra verification layer. First, it uses general healthcare data protection rules, then applies specific HIPAA rules, like checking who can see the data and if external vendors have confidentiality agreements.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add affaan-m/ECC --skill hipaa-complianceOr download just the file:
curl -L https://raw.githubusercontent.com/affaan-m/ECC/main/skills/hipaa-compliance/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
HIPAA Compliance
Use this as the HIPAA-specific entrypoint when a task is clearly about US healthcare compliance. This skill intentionally stays thin and canonical:
healthcare-phi-complianceremains the primary implementation skill for PHI/PII handling, data classification, audit logging, encryption, and leak prevention.healthcare-reviewerremains the specialized reviewer when code, architecture, or product behavior needs a healthcare-aware second pass.security-reviewstill applies for general auth, input-handling, secrets, API, and deployment hardening.
When to Use
- The request explicitly mentions HIPAA, PHI, covered entities, business associates, or BAAs
- Building or reviewing US healthcare software that stores, processes, exports, or transmits PHI
- Assessing whether logging, analytics, LLM prompts, storage, or support workflows create HIPAA exposure
- Designing patient-facing or clinician-facing systems where minimum necessary access and auditability matter
How It Works
Treat HIPAA as an overlay on top of the broader healthcare privacy skill:
- Start with
healthcare-phi-compliancefor the concrete implementation rules. - Apply HIPAA-specific decision gates:
- Is this data PHI?
- Is this actor a covered entity or business associate?
- Does a vendor or model provider require a BAA before touching the data?
- Is access limited to the minimum necessary scope?
- Are read/write/export events auditable?
- Escalate to
healthcare-reviewerif the task affects patient safety, clinical workflows, or regulated production architecture.
HIPAA-Specific Guardrails
- Never place PHI in logs, analytics events, crash reports, prompts, or client-visible error strings.
- Never expose PHI in URLs, browser storage, screenshots, or copied example payloads.
- Require authenticated access, scoped authorization, and audit trails for PHI reads and writes.
- Treat third-party SaaS, observability, support tooling, and LLM providers as blocked-by-default until BAA status and data boundaries are clear.
- Follow minimum necessary access: the right user should only see the smallest PHI slice needed for the task.
- Prefer opaque internal IDs over names, MRNs, phone numbers, addresses, or other identifiers.
Examples
Example 1: Product request framed as HIPAA
User request:
Add AI-generated visit summaries to our clinician dashboard. We serve US clinics and need to stay HIPAA compliant.
Response pattern:
- Activate
hipaa-compliance - Use
healthcare-phi-complianceto review PHI movement, logging, storage, and prompt boundaries - Verify whether the summarization provider is covered by a BAA before any PHI is sent
- Escalate to
healthcare-reviewerif the summaries influence clinical decisions
Example 2: Vendor/tooling decision
User request:
Can we send support transcripts and patient messages into our analytics stack?
Response pattern:
- Assume those messages may contain PHI
- Block the design unless the analytics vendor is approved for HIPAA-bound workloads and the data path is minimized
- Require redaction or a non-PHI event model when possible
Related Skills
healthcare-phi-compliancehealthcare-reviewerhealthcare-emr-patternshealthcare-eval-harnesssecurity-review
FAQ
What is PHI?
PHI stands for Protected Health Information. It's a patient's health data that can identify them.
What are 'covered entities' and 'business associates'?
'Covered entities' are organizations that deal directly with health information (like hospitals and clinics). 'Business associates' are third parties that provide services to these organizations and also handle health information.
What is a BAA?
BAA stands for Business Associate Agreement. It's a legal contract ensuring a business associate will protect protected health information (PHI) according to HIPAA.
Details
Original description by the author
HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.
repo: affaan-m/ECC
Popularity
- GitHub stars
- 280k
- Ranking position
- #205
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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