Skill UI

This skill implements a robust, multi-layered security hardening process based on the Defense-in-Depth strategy and DevSecOps principles. It coordinates specialized agents to perform comprehensive security assessments (SAST, DAST, SBOM, Threat Modeling), identify critical vulnerabilities, and execute layered remediation. The process covers application code, backend APIs, frontend components, and mobile platforms, ensuring a resilient security posture across the entire development lifecycle.

Perform Static Application Security Testing (SAST) to identify critical security vulnerabilities, including SQL injection, XSS, hardcoded secrets, and path traversal, directly from source code. Supports multi-language ecosystems (Python, JavaScript, Java, Go, etc.) and major frameworks, enabling crucial pre-deployment security validation and compliance checks (OWASP, PCI-DSS).

Provides Terraform and OpenTofu best-practice guidance for module design, testing selection, CI/CD pipeline setup, security scanning, and architecture decisions in production infrastructure-as-code projects.

This comprehensive workflow provides a complete cycle of quality assurance for software development. It covers every stage from defining the test strategy (TDD, Unit Testing) through integration, E2E testing, browser automation, performance profiling, security scanning, and final code review. Use this when setting up robust testing infrastructure or ensuring production-ready software quality.

Automated skill that assists with XSS vulnerability scanning tasks, delivering best-practice guidance, secure patterns, code/configuration samples, and output validation for Security Fundamentals needs.

A powerful skill for conducting structured, systematic code reviews for PRs and MRs. It goes beyond basic style checks, performing deep analysis such as blast radius tracing, comprehensive security scanning (SQLi, XSS, secrets), detecting breaking changes in APIs/DB schemas, and calculating test coverage delta. Ideal for reviewing large, complex, or security-sensitive code changes before merging.

This tool discovers and inventories 'shadow APIs'—endpoints that operate outside documented specifications (OpenAPI/Swagger). It utilizes advanced traffic analysis against API gateways (e.g., Kong, AWS API Gateway), cloud configuration scanning, and source code mining. Essential for assessing the complete API attack surface, auditing forgotten services, or establishing robust API governance policies.

Learn how to implement robust container security by integrating the open-source Trivy scanner (from Aqua Security) into your CI/CD pipelines. This guide covers scanning container images, Kubernetes manifests, IaC files, and code repositories to detect critical vulnerabilities, misconfigurations, secrets, and generating Software Bill of Materials (SBOM) for comprehensive supply chain security.

Utilizes GitHub Advanced Security (GHAS) and CodeQL to implement comprehensive SAST across enterprise repositories. This solution automates static analysis, detecting vulnerabilities (e.g., SQL injection, XSS) and secrets at scale, enabling true 'shift-left' security by integrating checks directly into pull request workflows and CI/CD pipelines.

Automate security scanning for Infrastructure as Code (IaC) using best-in-class tools like Checkov and tfsec. This method analyzes Terraform, CloudFormation, and Kubernetes manifests to detect misconfigurations, enforce policy-based governance, and prevent common security vulnerabilities (e.g., public S3 buckets) before deployment. Essential for establishing secure CI/CD pipelines and meeting compliance standards.

This skill guides the implementation of Gitleaks for robust secret scanning across development lifecycles. It covers setting up pre-commit hooks to prevent secrets from being committed, integrating scanning into CI/CD pipelines (like GitHub Actions), and writing custom regex rules to detect and remediate hardcoded credentials (API keys, passwords, tokens) in Git history, ensuring adherence to secure SDLC practices.

This skill guides the integration of gitleaks and trufflehog into CI/CD pipelines. It automates the detection of hardcoded secrets, such as API keys, passwords, and tokens, preventing their accidental deployment. By integrating scans as a mandatory pre-deployment gate, organizations enforce strong security policies and maintain compliance.