Skill UI

Performs static security analysis on GitHub Actions workflows that incorporate AI coding agents (e.g., Claude, Gemini, OpenAI). This skill helps identify critical data flow vulnerabilities, such as where attacker-controlled input can reach AI agent prompts or internal systems via CI/CD pipelines, going beyond simple expression checks.

A rigorous framework designed to audit GitHub Actions workflows for exploitable security vulnerabilities. This skill focuses strictly on real-world attack patterns, requiring every identified finding to include a concrete exploitation scenario (Entry Point, Payload, Impact). Ideal for securing CI/CD pipelines against external attackers.

A comprehensive guide for discovering and exploiting broken link hijacking vulnerabilities. This skill focuses on identifying references to expired domains, decommissioned cloud resources (like S3 buckets), and dead external services. It covers advanced techniques such as subdomain takeover, supply chain security assessment, and resource claiming for authorized penetration testing.

This skill provides a comprehensive guide to deploying AWS Security Hub for centralized Cloud Security Posture Management (CSPM). It covers aggregating security findings from multiple sources (GuardDuty, Inspector, Macie, and third-party tools), enabling compliance checks against standards like CIS and PCI-DSS, and automating remediation workflows across multi-account AWS organizations. Ideal for security teams needing continuous compliance monitoring and robust governance.

A comprehensive guide to implementing AWS Security Hub for centralized security posture management. It enables the aggregation of findings from multiple AWS accounts, evaluates compliance against industry standards (like CIS, PCI DSS, NIST), and configures automated remediation workflows using EventBridge and Lambda for robust organizational risk management.

A comprehensive guide for implementing Cloud Security Posture Management (CSPM) across multi-cloud environments (AWS, Azure, GCP). Learn how to use specialized tools like Prowler and ScoutSuite, combined with native cloud services (Security Hub, Defender, SCC), to continuously monitor for misconfigurations, compliance violations (CIS, SOC 2), and security drifts, thereby enforcing security guardrails in complex cloud architectures.

Implement a comprehensive Cloud Security Posture Management (CSPM) solution across multi-cloud environments (AWS, Azure). This skill guides the use of industry tools like AWS Security Hub, Azure Defender for Cloud, Prowler, and ScoutSuite to continuously detect misconfigurations, compliance violations, and vulnerabilities. It is crucial for establishing robust, centralized security controls and meeting regulatory compliance requirements.

Implement robust Static Application Security Testing (SAST) using CodeQL powered by GitHub Advanced Security (GHAS). This solution automates the detection of critical vulnerabilities (e.g., SQL injection, XSS) across large, enterprise-scale codebases, ensuring compliance and maintaining a strong DevSecOps posture throughout the development lifecycle.

This skill guides the integration of OWASP ZAP for Dynamic Application Security Testing (DAST) directly into CI/CD pipelines. Learn how to perform baseline, full, and API scans against running applications, interpret complex security findings, tune scan policies, and establish automated security quality gates in modern CI/CD platforms like GitHub Actions and GitLab CI. Essential for DevSecOps practices.

This skill guides developers through integrating Static Application Security Testing (SAST) tools like CodeQL and Semgrep into GitHub Actions CI/CD pipelines. It covers automating code scanning on pull requests and pushes, tuning rules to reduce false positives, uploading SARIF results, and establishing quality gates to prevent vulnerable code from merging into production.

This skill automates the monitoring of public paste sites (e.g., Pastebin, GitHub Gists) to detect leaked credentials, API keys, and sensitive data dumps. It employs advanced regex patterns and keyword matching to provide early warning of security breaches, crucial for incident response, vulnerability assessment, and threat intelligence gathering.

This skill details implementing Software Composition Analysis (SCA) using Snyk. It helps security teams detect known vulnerabilities, check license compliance, and automate dependency remediation within CI/CD pipelines. Learn to integrate scanning into GitHub, GitLab, and Jenkins workflows, generate automated fix PRs, and continuously monitor deployed applications to safeguard the software supply chain.