An automated compliance framework for generating HIPAA-ready checklists, risk assessments, and technical safeguard documentation for AI agents in healthcare.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-hipaa-compliance
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install afrexai-hipaa-compliance using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This specialized skill is designed for developers and healthcare administrators who need to ensure their AI agents adhere to strict regulatory standards. By utilizing Openclaw Skills, teams can instantly generate the necessary documentation for Pre-Deployment Compliance Gates, Technical Safeguards, and Breach Response Timelines. It bridges the gap between complex legal requirements and technical implementation, specifically focusing on the nuances of Protected Health Information (PHI) in the context of LLMs and automated agents.
The framework provides structured deliverables that cover the Minimum Necessary standard, TLS 1.3 enforcement, and specific AI risks like prompt injection and model hallucinations. Whether you are deploying patient scheduling bots or complex clinical decision support systems, this tool ensures that your technical and administrative safeguards are documented and audit-ready.
To integrate this skill into your workflow, ensure your environment is prepared for secure document generation.
# Install the compliance framework via your Openclaw Skills manager
openclaw skill install hipaa-compliance-framework
# Initialize the compliance gate for a specific project
openclaw-hipaa init --project-name healthcare-agent-v1
Review the generated output to ensure all technical safeguards, such as TLS 1.3 and E2E encryption, are physically implemented in your deployment environment.
The skill produces a structured set of files and metadata to maintain a clear audit trail. Data is organized as follows:
| Component | Data Type | Purpose |
|---|---|---|
| Compliance Checklist | Markdown | Tracks status of administrative and physical safeguards |
| Risk Matrix | Table | Maps impact and likelihood of AI-specific vulnerabilities |
| Audit Log Schema | JSON | Defines the structure for PHI access logging (timestamp, user, action) |
| Breach Timeline | Chronological List | Outlines the required response steps from 0 hours to 90 days |
Loading
A comprehensive operational framework for AI agents to manage gym pricing, staff, retention, and financial growth in the modern fitness market.

A structured AI skill for developing high-impact Go-to-Market plans for product launches and market expansions.

A comprehensive growth engine providing frameworks for experimentation, funnel optimization, and viral scaling for software products.

Automate the creation of professional, submission-ready grant proposals and funding applications for any sector.

A data-driven framework for scoring and comparing job candidates objectively using customizable weighted criteria.

A comprehensive operational framework for running a profitable home inspection business with standardized workflows and growth playbooks.








































