A comprehensive AI Data Privacy Officer agent designed to build, operate, and mature organizational privacy programs across global regulatory frameworks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-data-privacy
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install afrexai-data-privacy using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Data Privacy & Protection Program?
This skill transforms an AI agent into a virtual Data Privacy Officer capable of architecting a full-scale privacy program. It covers the entire lifecycle of data protection, from initial maturity assessments and regulatory applicability mapping to operational tasks like managing Records of Processing Activities (ROPA). By integrating this skill into Openclaw Skills, developers and organizations can ensure their data handling practices align with GDPR, CCPA/CPRA, LGPD, and other major international standards.
The skill provides a structured methodology for maintaining compliance while enabling business growth. It includes technical schemas for tracking consent, managing data subject access requests (DSARs), and performing data protection impact assessments (DPIAs). It serves as an actionable framework for privacy by design, ensuring that privacy considerations are embedded into every feature and product development phase.
Data Privacy & Protection Program Use Cases
- Conducting rapid privacy maturity assessments and health checks for startups or enterprises.
- Mapping organizational data flows and maintaining a detailed Record of Processing Activities (ROPA).
- Generating and auditing regulatory-compliant privacy notices and consent management records.
- Automating the workflow for Data Subject Access Requests (DSAR) and breach response playbooks.
- Performing vendor risk assessments and evaluating Data Processing Agreements (DPAs).
How Data Privacy & Protection Program Works
- The agent performs an initial triage and maturity assessment to identify critical gaps in data inventory, legal basis, and consent.
- It maps the organization's operational footprint against a global regulatory matrix to determine applicable laws like GDPR or CCPA.
- The system guides the user through creating a detailed ROPA and data classification framework to inventory all personal data.
- Operational modules are activated to handle specific tasks such as DPIAs, vendor scorecards, and cross-border transfer impact assessments.
- The agent monitors ongoing compliance via an annual privacy calendar and a metrics dashboard for continuous improvement.
Data Privacy & Protection Program Setup
To implement the Data Privacy & Protection Program, integrate the skill into your AI agent environment. Ensure your agent has access to organizational data flow descriptions and jurisdictional info. Users can leverage Openclaw Skills to deploy this DPO agent for immediate assessment.
# Example of initializing the privacy assessment module
openclaw skills install privacy-dpo-program
# Run the initial health check command
agent run "Assess our privacy program"
Data Privacy & Protection Program Data Schema & Taxonomy
The skill utilizes structured YAML schemas to organize privacy metadata. Key entities include:
| Entity | Description | Key Metadata Fields |
|---|---|---|
| Processing Activity | ROPA entries | Purpose, Lawful Basis, Data Categories, Retention |
| Consent Record | Audit trail | Data Subject ID, Purpose, Timestamp, Version |
| DPIA | Risk assessment | Necessity, Risk Score, Mitigation, Residual Risk |
| Breach Log | Incident record | Scope, Nature, Risk Level, Notification Status |
| Vendor Scorecard | Risk assessment | Security Posture, Data Handling, DPA Quality |
Data Privacy & Protection Program Advanced Features
- Privacy Maturity Model with 1-5 scoring across eight governance dimensions.
- Privacy by Design engineering checklists for product development teams.
- Automated Breach Response Playbooks with time-sensitive notification triggers (24-72h).
- AI/ML-specific privacy considerations including bias assessment and automated decision-making transparency.
- Cross-border transfer impact assessment (TIA) frameworks for non-adequate countries using Openclaw Skills.
SKILL.md
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