An AI-powered cybersecurity framework for conducting deep security audits, STRIDE threat modeling, and cross-framework compliance mapping.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-cybersecurity
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-cybersecurity using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Cybersecurity Risk Assessment skill empowers AI agents to act as specialized security auditors and risk consultants. It provides a rigorous framework for evaluating infrastructure, identifying vulnerabilities through quantitative scoring, and ensuring organizational alignment with global security standards. By integrating this into your Openclaw Skills library, you can automate the generation of professional-grade security reports and remediation roadmaps that translate technical risks into actionable business insights.
To deploy this skill within your environment, ensure your agent has access to your infrastructure documentation and follow these steps:
# Add the skill to your local environment
openclaw install cybersecurity-risk-assessment
# Configure the baseline compliance frameworks (e.g., SOC2, HIPAA)
openclaw configure cybersecurity-risk-assessment --frameworks default
The skill organizes security data into a multi-layered taxonomy for clarity and reporting:
| Data Layer | Details Included |
|---|---|
| Asset Inventory | Classification of PII, PHI, IP, and critical system metadata. |
| Vulnerability Matrix | Numerical scoring (1-125) with Priority and Response Time mapping. |
| Compliance Gap Matrix | Comparative analysis of current state vs. SOC 2, ISO, and NIST requirements. |
| Remediation Plan | 90-day timeline with task owners, deadlines, and budget requests. |
Loading
A comprehensive AI-driven cybersecurity framework for methodology-based assessments, threat modeling, and infrastructure hardening across any technical stack.

An enterprise-grade customer support system for AI agents that handles ticket triage, response workflows, and churn prevention.

A comprehensive framework for building and scaling B2B SaaS customer success operations, from onboarding to expansion revenue.

A comprehensive tool for mapping customer touchpoints and identifying AI automation opportunities across the entire lifecycle.

A sophisticated analytical framework that empowers AI agents to perform senior-level data investigation and strategic decision-making.

A zero-dependency agent skill providing a complete methodology for designing, building, and scaling production-grade data pipelines and infrastructure.








































