Skill UI

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 guide detailing how to configure and manage GitHub's secret scanning feature. This skill covers enabling Secret Protection, setting up push protection to block leaked credentials before they reach the repository, defining custom regex patterns, and providing workflows for triaging alerts and resolving blocked pushes (including using git rebase or bypassing protections). Essential for maintaining secure code repositories and complying with security standards.

A comprehensive guide and implementation for setting up Continuous Integration and Continuous Deployment (CI/CD) pipelines for dApps powered by Alchemy. It utilizes GitHub Actions to automate critical Web3 workflows, including running Hardhat tests against a mainnet fork, verifying smart contract integrity, and securely deploying to testnets like Sepolia. Features built-in key exposure scanning for robust security.

A comprehensive security tool designed for AI environments (OpenClaw). It functions as an 'antivirus' for AI skills, performing deep audits, scanning skills before installation, and running full security health checks. Its primary goal is to detect vulnerabilities, prevent data leaks, and mitigate privacy risks, ensuring the integrity and safety of the AI workspace.

A comprehensive guide for implementing robust policy enforcement and security guardrails in HubSpot integrations. This methodology covers secret scanning within CI/CD pipelines to prevent token leaks, utilizes ESLint rules for enforcing modern authentication practices, and leverages TypeScript for compile-time and runtime checks. Use this when setting up secure, scalable, and compliant codebases for HubSpot APIs.

A comprehensive CI/CD pipeline for Quarkus applications, designed to verify code quality and deployment readiness. It covers all phases: build, static code analysis (SonarQube, Checkstyle), rigorous functional testing (Unit, Integration, API), security scanning (OWASP, dependency checks), native image compatibility testing, performance load testing (K6), and container image validation (Trivy, Grype).

A comprehensive guide for designing and implementing robust Infrastructure as Code (IaC) using Terraform or OpenTofu. Covers module hierarchy design, best practices for naming conventions, structuring multi-environment pipelines, advanced testing strategies (native tests, Terratest, static analysis), and integrating security scanning (trivy, checkov) into CI/CD workflows.

This meta-skill implements a combinator pattern for deep security analysis. It runs three independent gates—policy governance, secret scanning, and audit logging—over a candidate operation. It enforces a strict arbitration rule (Policy DENY > Scanner WARN > ALLOW) to provide a robust, multi-layered verdict, making it ideal for reviewing critical code changes or environment modifications for safety compliance.

Dep handles the entire journey from local code to production deployment. This skill automates containerization using Docker and docker-compose, establishes robust CI/CD pipelines (linting, testing, security scanning, deployment), manages environment variables and secrets, and generates Infrastructure as Code (Terraform/Pulumi) configurations. It ensures observability and provides rollback procedures.

This skill generates a complete, actionable CI/CD playbook, thoroughly documenting the entire software deployment lifecycle. It covers essential stages like build & linting, unit/integration testing, security scanning, and phased deployment to staging and production. The output provides clear guidelines on required inputs, automated gates, manual approvals, and necessary rollback procedures, which is crucial for engineering documentation and team onboarding.

A comprehensive audit worker that integrates Open Infrastructure Architecture (OIA) manifest analysis, threat modeling, and MCP security scanning. It computes a composite worst-case severity score and persists time-stamped audit records in a memory namespace. Primarily designed for scheduled CI/CD pipelines to detect architectural drift and security regressions over time.

This comprehensive guide outlines a multi-stage verification pipeline for Quarkus applications. It covers build artifacts, static analysis (Checkstyle, SonarQube, PMD), comprehensive testing (Unit, Integration, API), security scanning (OWASP, dependency checks), native compilation, and performance testing (K6). Use this before PRs or deployments to ensure code quality and stability.