Skill UI

An expert AI specialist that integrates advanced static analysis (e.g., CodeQL, SonarQube) with modern DevOps practices. It performs multi-layered code reviews, checking for security vulnerabilities, performance bottlenecks, architectural flaws, and adherence to best practices across various languages. Ideal for CI/CD pipelines and pull request validation.

Automates CodeQL database builds, suite selection, and taint-aware scans to surface security and quality issues across supported languages, handling output directories, SARIF results, and extensions in one workflow.

A comprehensive specialist that combines automated static analysis (SonarQube, CodeQL, Semgrep) with advanced AI capabilities. This tool performs multi-layered code reviews assessing security vulnerabilities, performance bottlenecks, architectural coherence, and maintainability across various programming languages, integrating seamlessly into CI/CD pipelines.

Parses SARIF files from scanners like CodeQL or Semgrep, offering filtering, deduplication, format conversion, and CI/CD integration without running scans itself.

Provides comprehensive guidance for setting up and configuring Static Application Security Testing (SAST) tools, including Semgrep, SonarQube, and CodeQL. Learn how to integrate security scanning into CI/CD pipelines, define custom security rules, enforce quality gates, and manage compliance policies to proactively identify and remediate code vulnerabilities across multiple programming languages.

Performs pattern-driven searches for similar vulnerabilities across repositories after a known issue is found, guiding analysts through precise generalization, triage, and tool choices (ripgrep, Semgrep, CodeQL) to audit and prioritize true positives.

A systematic skill for identifying similar vulnerabilities and bugs across large, complex codebases. It guides the user through generalizing initial bug patterns using techniques like CodeQL and Semgrep, ensuring comprehensive security audits beyond the initially discovered flaw. Ideal for advanced security research and robust code auditing.

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.

This guide details how to integrate Static Application Security Testing (SAST) tools like CodeQL and Semgrep into your CI/CD pipelines using GitHub Actions. It covers setting up automated vulnerability detection on pull requests, tuning rules to minimize false positives, uploading SARIF results for centralized security reporting, and enforcing quality gates to prevent vulnerable code from merging into protected branches. Essential for DevSecOps and compliance (SOC 2, PCI DSS).

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++).

A comprehensive white-box security auditing workflow designed for proprietary source code. It integrates static analysis security testing (SAST) tools like Semgrep and CodeQL to detect common vulnerabilities (e.g., injection, IDOR, crypto misuse), followed by mandatory manual threat modeling and verification steps. Applicable for PR reviews and pre-deployment security checks.

Perform authorized static analysis on source code to identify security vulnerabilities using tools like Semgrep and CodeQL. This workflow covers pattern hunting, dangerous API detection, and verification of vulnerability fixes. Essential for white-box audits and PR security reviews.