compliance-ops

Design compliance-aware AI workflows with data-flow mapping and vendor coverage checks.

44|10|Updated Jun 24, 2026
One-click install
npx skills add https://github.com/charlesdove977/compliance-ops --skill compliance-ops
Or copy as Structured Prompt for Agent
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Skill: compliance-ops
Source: https://github.com/charlesdove977/compliance-ops/tree/main/skill
Command: npx skills add https://github.com/charlesdove977/compliance-ops --skill compliance-ops

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Compliance Ops helps you design AI-assisted systems so protected data stays out of uncovered tools and the wrong data path from the start. It interviews the user first, identifies the relevant compliance regime, and prevents accidental routing of PHI, personal data, payment data, or customer data through non-compliant vendors.

Core Features & Use Cases

  • Regime-aware compliance guidance: Handles HIPAA, SOC 2, GDPR, and PCI-DSS scenarios, including overlapping requirements.
  • Safe-by-design architecture planning: Separates systems into protected and non-protected lanes, recommends covered vendors, and keeps the AI out of sensitive data paths unless a covered endpoint is explicitly required.
  • Audit-ready documentation: Generates data-flow maps, vendor agreement checklists, and compliance documentation for review by counsel or a compliance officer.
  • Use case: A healthcare SaaS team can use this Skill to decide whether an intake form, automation, or AI workflow may touch PHI, which vendors need BAAs, and how to keep Claude out of the protected-data path.

Quick Start

Ask the compliance ops skill to interview me about what I am building and which compliance regime applies, then give me the safest architecture and next steps.

Frequently Asked Questions about compliance-ops

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design AI workflows that keep protected data out of uncovered systems for HIPAA and SOC 2 compliance?

To design compliant AI workflows, you must map data flows into protected and non-protected lanes, ensuring PHI or customer data avoids non-compliant vendor paths. This requires interview-driven scoping to identify regime requirements and generate audit-ready architecture documentation.

What is the best way to map data flow for GDPR and PCI-DSS regulated products?

Mapping data flow for GDPR and PCI-DSS involves separating systems into protected and non-protected lanes and verifying vendor coverage. This safe-by-design planning prevents accidental routing of personal data or payment data through non-compliant systems.

Can I use this to check if my vendor agreements meet overlapping compliance regime requirements?

Yes, compliance planning evaluates vendor agreements against overlapping requirements for HIPAA, SOC 2, GDPR, and PCI-DSS. It generates vendor agreement checklists to confirm covered endpoints are properly documented before data flows through them.

How do I generate audit-ready documentation for a healthcare SaaS intake form that may touch PHI?

Generating audit-ready documentation for healthcare SaaS involves interview-driven scoping to determine if workflows touch PHI, identifying vendors needing BAAs, and producing data-flow maps that keep AI out of sensitive data paths unless explicitly required.

Does compliance planning require legal counsel review before routing customer data through AI systems?

Yes, while compliance planning generates audit-ready documentation and data-flow maps with legal disclaimers, it explicitly requires review by counsel or a compliance officer to finalize safe architecture and vendor paths for regulated data.

When should I not use lane-based data-flow mapping for my compliance architecture?

Lane-based data-flow mapping should not be your final compliance step without legal counsel review, as it serves as a planning and documentation tool to guide safe architecture rather than providing legally binding regulatory certification.