Skill UI

This skill guide provides a comprehensive framework for automating the secure rotation of service account credentials. It addresses the challenge of managing long-lived secrets across diverse environments, including Active Directory, AWS, GCP, Azure, and databases. By implementing centralized secrets management (like HashiCorp Vault) and automated workflows, users can systematically eliminate stale credentials, dramatically reducing the risk of security breaches and non-compliance.

This tool guides the process of reviewing security findings from DAST and SAST scanners. It uses the OWASP risk rating methodology to classify vulnerabilities (true positive, false positive, needs review) and calculate a comprehensive risk score based on likelihood and impact, ensuring development teams prioritize the most critical issues.

This skill provides a comprehensive guide to the Common Vulnerability Scoring System (CVSS v4.0), the industry standard for assessing vulnerability severity. It teaches users how to calculate CVSS scores using Base, Threat, and Environmental metrics, and crucially, how to integrate real-world context like EPSS scores and CISA KEV listings for advanced, actionable risk prioritization in security operations.

A comprehensive guide to writing robust and maintainable tests in Rust. It covers various advanced testing patterns, including Unit, Integration, Async, and Property-Based testing. Learn how to apply the TDD (Test-Driven Development) cycle (RED-GREEN-REFACTOR) to enhance code reliability and ensure high code coverage.

Grype is an open-source vulnerability scanner from Anchore. It inspects container images, filesystems, and SBOMs for known CVEs. It leverages Syft-generated SBOMs to match packages against multiple vulnerability databases (NVD, GitHub Advisories). Use it for security assessments, auditing, and integrating into CI/CD pipelines to enforce vulnerability standards and manage supply chain risks.

This comprehensive skill guides the testing of web applications for Cross-Site Scripting (XSS) vulnerabilities. It covers reflected, stored, and DOM-based injection points. Testers learn to map input/output contexts, craft context-appropriate payloads, and bypass complex sanitization and CSP protections, ensuring thorough client-side security assessment.

A comprehensive guide detailing how to identify and validate Cross-Site Scripting (XSS) vulnerabilities using Burp Suite's advanced tools (Repeater, Intruder, DOM Invader). This methodology covers reflected, stored, and DOM-based XSS, and includes strategies for bypassing security filters and Content Security Policy (CSP), making it essential for web application penetration testing and bug bounty programs.

Orchestrates WCAG 2.2 Level A/AA scans, fixes, and verifications across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases, producing before/after diffs, contrast checks, compliance reports, and CI/CD-ready hooks.

CCPM orchestrates software delivery from PRD through epics and GitHub issues into parallel agent execution, covering planning, decomposition, syncing, workstart, and status checks with mandated script-based reporting.

Automatically reverse-engineers any codebase (frontend, backend, or fullstack) into a comprehensive Product Requirements Document (PRD). It analyzes complex elements like routes, components, API integrations, state management, and business logic across major stacks (React, Vue, Next.js, Django, FastAPI). The resulting PRD is detailed enough for both product managers (understanding 'what') and engineers/AI agents (understanding 'how' to reconstruct the system).

This command merges the results of the highest-ranked agent from a specified or latest session into the base branch. It automates the finalization of a development cycle by ensuring a clean and traceable history. Functionality includes merging the winner's branch, archiving all losing agents' commits using Git tags, and cleaning up temporary worktrees.

A lightweight CLI tool for systematically comparing various coding AI agents (such as Claude Code, Aider, and Codex) head-to-head. It measures crucial metrics—pass rate, API cost, execution time, and consistency—on reproducible tasks defined via YAML manifests. Use this to objectively select the best agent for your codebase or to validate model updates before production deployment.