Communitygithub.com

hipaa-compliance

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.

hipaa-compliance 是什么?

hipaa-compliance is a Claude Code agent skill that 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.

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/hipaa-compliance

在你喜欢的 AI 中提问

打开一个已预加载此 Agent Skill 的新对话。

文档

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-compliance remains the primary implementation skill for PHI/PII handling, data classification, audit logging, encryption, and leak prevention.
  • healthcare-reviewer remains the specialized reviewer when code, architecture, or product behavior needs a healthcare-aware second pass.
  • security-review still 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:

  1. Start with healthcare-phi-compliance for the concrete implementation rules.
  2. 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?
  3. Escalate to healthcare-reviewer if 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-compliance to 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-reviewer if 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-compliance
  • healthcare-reviewer
  • healthcare-emr-patterns
  • healthcare-eval-harness
  • security-review

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

api-connector-builder

Build a new API connector or provider by matching the target repo

相关技能