Skill UI

Guides implementing Kubernetes NetworkPolicy, RBAC, PodSecurityPolicy, Pod Security Standards, and OPA Gatekeeper constraints to enforce defense-in-depth across clusters, covering multi-tenant protection, admission control, and Istio service mesh policies.

This skill maps identified security threats to appropriate controls and mitigation strategies. It is essential for prioritizing security investments, building comprehensive remediation roadmaps, validating existing control coverage, and performing detailed risk treatment planning. It helps organizations design robust, defense-in-depth security architectures.

This skill analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain framework. It identifies which attack phases an adversary has completed, points where defenses failed or succeeded, and recommends controls to disrupt the attack at earlier stages. It is essential for post-incident analysis, threat intelligence reporting, and designing robust defense-in-depth strategies.

This comprehensive guide details how to implement centralized security controls at the API gateway layer. It covers critical functionalities such as JWT authentication enforcement, advanced rate limiting, request/response validation against OpenAPI specs, and integrating Web Application Firewalls (WAF). The process is applicable across major platforms like Kong, AWS API Gateway, and Azure APIM, ensuring robust defense in depth for microservices architecture.

A comprehensive guide for mastering version control using GitHub and Git. It provides two modes: Guided Setup for first-time users, and an adaptive, hands-on curriculum for learning advanced concepts like branching, PR workflows, and CI/CD. The system automatically adjusts language and depth based on the user's skill level, ensuring effective, real-world learning.

This skill provides a comprehensive guide to implementing secure, defense-in-depth remote access architectures for Operational Technology (OT) and Industrial Control Systems (ICS). It covers best practices such as using jump servers, implementing Multi-Factor Authentication (MFA), session recording, and adhering to standards like IEC 62443 and NERC CIP-005 for vendor and operator access.

This skill intercepts the response flow before generation, allowing the user to explicitly control the desired depth, length, and token usage of the AI's answer. It estimates the complexity of the input prompt and presents multiple options (e.g., 25%, 50%, 75%, 100%), ensuring the output matches the user's need, whether they require a brief summary or a comprehensive, detailed analysis.

A comprehensive, pre-deployment, defense-in-depth security audit tool for Solidity smart contracts built with Foundry. It combines static analysis (Slither, Aderyn), symbolic execution (Mythril), property-based fuzz testing, and key hygiene checks to proactively detect critical vulnerabilities like reentrancy, access control flaws, and arithmetic bugs before deployment to any EVM chain.

This skill provides a comprehensive defense-in-depth framework for securing autonomous AI agents. It implements least-privilege tool allowlisting, identity binding, and human-in-the-loop controls to mitigate risks like prompt injection and tool poisoning. Use this when building agents that interact with sensitive systems (e.g., payments, file writes) to ensure governance, auditability, and compliance.

This skill intercepts the response flow before generation, allowing the user to explicitly control the desired depth, length, and token usage of the AI's answer. It estimates the complexity of the input prompt and presents multiple options (e.g., 25%, 50%, 75%, 100%), ensuring the output matches the user's need, whether they require a brief summary or a comprehensive, detailed analysis.