Skill UI

This skill guides the implementation of comprehensive security controls for container registries. It details workflows for vulnerability scanning using Trivy and Grype, generating Software Bill of Materials (SBOMs) with Syft, and enforcing image authenticity using Cosign and Sigstore. It is essential for building robust CI/CD pipelines and preventing supply chain attacks by ensuring only scanned, signed, and compliant images are deployed.

Harbor is an open-source container registry designed for robust security and compliance. This guide details the comprehensive workflow for securing your container ecosystem by implementing advanced features such as vulnerability scanning (Trivy), image signing (Notary/Cosign), Role-Based Access Control (RBAC), and content trust policies. Learn how to enforce image provenance and maintain strict access control in Kubernetes environments.

This comprehensive guide outlines the end-to-end security lifecycle for Kubernetes applications deployed via Helm. It covers critical topics such as chart provenance verification (GPG signing), template scanning (using tools like kubesec and checkov), enforcing strict security contexts, managing secrets securely (ExternalSecrets), and defining robust RBAC rules for CI/CD pipelines.

This skill provides comprehensive security hardening guidelines for serverless compute platforms like AWS Lambda, Azure Functions, and Google Cloud Functions. It covers essential security pillars including enforcing least privilege IAM roles, integrating robust secrets management (e.g., AWS Secrets Manager), automating dependency vulnerability scanning within CI/CD pipelines, and implementing strict input validation to mitigate risks such as injection and credential theft. Ideal for DevSecOps practitioners and security architects.

A comprehensive guide for performing security assessments to identify various forms of sensitive data exposure, such as leaked API keys, PII in API responses, insecure client-side storage, and unprotected data transmission. This workflow covers scanning JavaScript files, analyzing API responses, verifying data encryption, and examining browser storage.

This skill provides advanced techniques and code examples for monitoring, mapping, and pivoting across adversary-controlled infrastructure. It leverages Passive DNS, Certificate Transparency logs, Shodan/Censys scanning, and network fingerprinting (JARM/JA3S) to discover C2 servers, phishing domains, and exploitable assets over time, which is crucial for advanced security operations and threat intelligence gathering.

Provides offensive security testing methodology, tooling guidance, and workflows for scanning web apps, APIs, dependencies, secrets, and infrastructure to uncover vulnerabilities before attackers exploit them.

A multi-layered defense system designed to detect sophisticated prompt injection attacks targeting LLM-powered applications. It combines regex pattern matching for known signatures, heuristic scoring for structural anomalies, and advanced DeBERTa-based classification. Ideal for building robust input validation layers, securing RAG pipelines, and performing proactive AI security scanning.

A comprehensive guide for setting up production-grade CI/CD pipelines for Go projects using GitHub Actions. This skill covers essential quality gates including unit testing, linting (golangci-lint), static analysis security testing (SAST), vulnerability scanning, dependency management, Docker builds, and automated releases using GoReleaser.

This skill enforces best practices for managing Go modules, focusing on stability, security, and maintainability. It guides users through essential workflows like dependency addition, safe upgrading (e.g., patch updates), cleanup (go mod tidy), and critical vulnerability scanning (govulncheck). Use this when initializing, updating, or auditing a Go project's dependency tree to ensure supply chain safety.

Provides quick reference to penetration testing commands for network scanning, exploitation, password cracking, and web testing workflows, helping security professionals run tools like Nmap, Metasploit, Nikto, and SQLMap during assessments.

This comprehensive guide provides detailed procedural steps for configuring and executing CodeQL code scanning. It covers both implementing automated workflows using GitHub Actions (`codeql.yml`) and running scans via the CodeQL CLI. Users will learn how to manage language matrices, set build modes, interpret SARIF outputs, handle monorepo structures, and troubleshoot complex security analysis setups across multiple languages (e.g., Python, Java, C++).