security & testing Claude 스킬을 발견하세요. 105개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Generates actionable remediation steps and code examples by analyzing error patterns and failure logs.
Extracts and summarizes failure information from test logs to quickly identify root causes and categorize software errors.
Validates Mojo code for memory safety violations, ownership issues, and potential runtime crashes.
Designs autonomous, randomized workloads to discover race conditions and edge cases in distributed actor systems.
Analyzes cyclomatic complexity, nesting depth, and function length to identify code refactoring candidates.
Ensures structural integrity of AI-generated orchestrator plan files by validating them against strict JSON schemas.
Conducts automated security audits to detect vulnerabilities, exposed secrets, and unsafe coding patterns across Mojo and Python projects.
Manages the full quality assurance lifecycle from test planning and bug reproduction to regression analysis and quality reporting.
Generates comprehensive, production-ready unit tests across multiple programming languages and frameworks automatically.
Conducts automated security audits to identify vulnerabilities, hardcoded secrets, and OWASP Top 10 risks in your codebase.
Validates memory safety, ownership transfers, and borrowing rules within Mojo code to prevent segmentation faults and data corruption.
Validates code and architectural decisions by leveraging OpenAI Codex models for multi-perspective technical analysis.
Enforces safety-critical TigerBeetle coding standards for high-performance and reliable Zig development.
Enforces idiomatic Go testing patterns including table-driven tests, proper subtest isolation, and descriptive error reporting.
Audits Python test suites to ensure robust async patterns, efficient fixture usage, and accurate mocking implementation.
Validates charmbracelet/wish SSH server implementations for security, middleware correctness, and session management.
Implements robust Vitest testing strategies, advanced mocking, and async verification workflows for modern JavaScript and TypeScript applications.
Automates local web application testing and UI verification using Playwright scripts and managed server lifecycles.
Reviews and optimizes terminal user interface code built with the Charmbracelet BubbleTea framework.
Compares and scores multiple code implementations using a multi-phase LLM-as-judge framework to evaluate functionality, security, and quality.
Identifies and cleans up AI-generated code patterns, including redundant tests, dead code, and over-engineered abstractions.
Simplifies the creation of deterministic, recorded, and snapshot-based tests for PydanticAI agents and workflows.
Conducts structured quality audits before shipping code to identify integration boundary failures, contract violations, and architectural drift.
Establishes strict Test-Driven Development (TDD) protocols and documentation standards to ensure code quality and institutional knowledge retention.
Implements best practices for testing React components, hooks, and context using React Testing Library while avoiding common anti-patterns.
Implements behavior-driven frontend tests using DOM Testing Library best practices to ensure reliable, accessible, and refactor-resistant web applications.
Enforces the Red-Green-Refactor cycle to ensure production code is only written in response to failing behavioral tests.
Automates comprehensive accessibility audits for web pages, source code, and design mockups based on WCAG 2.2 and WAI-ARIA standards.
Guides the implementation of modern unit tests using Apple’s Swift Testing framework with macro-driven patterns.
Configures secure, encrypted environment variable management optimized for Git worktrees and parallel development workflows.
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