A strategic API that generates personalized, phased transformation roadmaps for organizations integrating Generative AI into their cybersecurity defenses.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install toolweb-genai-cybersec
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 toolweb-genai-cybersec using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The GenAI Cybersecurity Roadmap API is a specialized tool designed to bridge the gap between organizational security posture and advanced AI integration. By leveraging Microsoft’s proven five-point blueprint for GenAI-driven cyber defense, this Openclaw Skills integration analyzes maturity levels, current challenges, and budgetary constraints to produce a comprehensive strategic document. It is an essential asset for CISOs and security leaders aiming to modernize their defense stacks while maintaining compliance and operational stability.
This skill transforms raw assessment data into a structured implementation plan, ensuring that GenAI initiatives are not just experimental but are aligned with specific security outcomes. It provides deep insights into resource allocation, technology stack requirements, and risk mitigation, making it a cornerstone for any enterprise-grade Openclaw Skills deployment focused on cybersecurity transformation.
To integrate this skill into your environment, ensure your API client can reach the endpoint and use the following request structure:
# Example health check to verify connectivity
curl -X GET https://api.your-domain.com/health
# Example POST request to generate a roadmap
curl -X POST https://api.your-domain.com/api/genai/cybersecurity-roadmap \
-H "Content-Type: application/json" \
-d '{
"assessmentData": {
"organizationInfo": { "name": "Example Corp", "type": "Enterprise", "region": "EMEA", "size": "1000-5000" },
"currentPosture": { "maturityLevel": 3, "challenges": ["Data Silos"], "currentAI": "None" },
"transformationGoals": { "objectives": ["Automate Response"], "timeline": "12 months", "budget": "$1M" },
"sessionId": "sess_001",
"timestamp": "2026-05-09T00:00:00Z"
},
"sessionId": "sess_001",
"userId": 1234,
"timestamp": "2026-05-09T00:00:00Z"
}'
The skill organizes transformation data into several key pillars to ensure clarity and actionable insights:
| Section | Description |
|---|---|
| Executive Summary | A high-level narrative for stakeholders and leadership. |
| Blueprint Points | Detailed actions for Threat Detection, Incident Response, and Predictive Intel. |
| Implementation Plan | A four-phase timeline (Foundation, Quick Wins, Scaling, Optimization). |
| Resource Requirements | A breakdown of required team roles (ML Engineers, Data Scientists) and Tech Stack. |
| Risk Mitigation | Specific strategies for model bias, data quality, and regulatory compliance. |
| Success Metrics | Quantifiable KPIs like MTTR reduction percentages and detection coverage increases. |
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