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Learn how to build and share structured threat intelligence objects, including indicators, malware, and campaigns, using the stix2 Python library. This guide details publishing data via the TAXII 2.1 protocol, making it essential for developing threat intelligence platforms, automating IOC exchange, and creating machine-readable reports for ISAC/ISAO communities.

This guide provides a comprehensive workflow for Test-Driven Development (TDD) within Laravel applications. It covers best practices for writing unit, feature, and integration tests using modern tools like Pest and PHPUnit. Learn how to manage database states, mock external services, and achieve high code coverage efficiently.

A comprehensive deep dive into reverse engineering ransomware encryption mechanisms. It details the analysis of hybrid encryption models (AES/RSA), identifying specific cryptographic APIs (CryptoAPI, CNG), and locating implementation flaws such as weak key generation or IV reuse. This guides authorized security professionals in finding potential decryption opportunities without paying a ransom.

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.

This skill reviews code differences (diffs) to identify opportunities for improvement in clarity, reusability, efficiency, and overall quality. It employs multiple specialized sub-agents (e.g., Code Reuse, Efficiency, Quality) to audit changes. It can provide high-confidence, behavior-preserving fixes when requested, ensuring the code adheres to best practices without introducing regressions. Best used when refactoring, cleaning up, or auditing a specific code scope.

This guide provides comprehensive testing patterns for C# and .NET applications. It covers best practices using xUnit, FluentAssertions, and advanced techniques like mocking (NSubstitute/Moq), parameterized testing, and full integration testing using Testcontainers and WebApplicationFactory. Ideal for improving test quality, coverage, and developing robust, maintainable codebases.

A comprehensive guide for setting up production-grade CI/CD pipelines for Go projects using GitHub Actions. It covers all critical stages: unit testing (with race detection), linting, static application security testing (SAST), vulnerability scanning, automated dependency updates (Dependabot/Renovate), Docker image builds, and automated releases via GoReleaser. Ideal for DevOps engineers establishing or improving Go project quality gates.

A comprehensive guide to tracking the rapidly evolving Go programming ecosystem. It curates official documentation (go.dev, pkg.go.dev), essential newsletters, active communities (r/golang, Slack), influential developers, and top blogs. Use this skill when you need to stay current with Go language updates, discover new libraries, or connect with the development community.

Provides a comprehensive guide to the `stretchr/testify` library for Go testing. It covers essential features like readable assertions (assert/require), mocking dependencies, setting up test suites, and advanced patterns (e.g., JSONEq, Eventually). Use this when writing robust unit tests, ensuring failures are self-explanatory, and managing complex test lifecycles in Go projects.

A comprehensive guide on using the Mockito package for unit testing in Dart and Flutter. Learn best practices for distinguishing between real, fake, and mock objects, along with detailed syntax for generating mocks, stubbing methods, verifying interactions, and capturing arguments to ensure robust, isolated testing.

A comprehensive guide on using the Mocktail package for advanced mocking in Dart and Flutter. It covers best practices for distinguishing between Mocks, Fakes, and Real objects, along with detailed instructions on stubbing methods, verifying interactions, registering fallback values, and using argument matchers. Essential for writing reliable unit tests.

Comprehensive Go testing guidance that spans table-driven subtests, testify suites, mocking, unit/integration tests, benchmarks, coverage, fuzzing, goleak leak detection, snapshot checks, and GitHub Actions CI to keep production suites reliable.