Security & Testing Claude 스킬

SAST Security Configuration

Configures and optimizes Static Application Security Testing (SAST) tools to automate code vulnerability detection and enforce security standards.

Temporal Python Testing

Simplifies testing Temporal workflows and activities in Python using time-skipping, mocking, and determinism validation.

Claude Sandbox Architect

Analyzes codebases to generate secure, optimized Claude Code Sandbox configurations and permission settings.

Pytest Runner & Debugger

Automates comprehensive Pytest execution and systematic debugging workflows for Python applications.

QA Security Scan

Conducts comprehensive security audits and vulnerability assessments using OWASP-aligned checklists and automated scanning integrations.

Implementation Fidelity Review

Verifies code implementation against software design specifications to ensure development remains aligned with the original plan.

Global Error Handling

Implements comprehensive error management strategies including user-friendly messaging, custom exception types, and resilient recovery patterns.

Infrastructure Security Hardening

Hardens cloud infrastructure and Kubernetes environments using CIS benchmarks, secure configuration patterns, and automated vulnerability scanning.

Secrets Guardian

Secures codebases by preventing accidental credential leaks through automated scanning and pre-commit hook integration.

E2E Testing Patterns

Implements robust end-to-end testing suites using Playwright and Cypress best practices to ensure application reliability.

Safety Validation

Protects restricted project files by validating all modifications against ignore rules before committing changes.

Testing Core Patterns

Standardizes cross-language testing strategies including unit, integration, and E2E patterns for robust software delivery.

Architecture Guardian

Evaluates code changes and architectural decisions against documented principles to ensure structural integrity and adherence to design patterns.

Systematic Debugging

Enforces a rigorous four-phase framework to identify root causes and verify solutions for complex software bugs and test failures.

Wolf Verification Framework

Implements a three-layer verification architecture to eliminate hallucinations and ensure factual accuracy through systematic claim validation.

Comprehensive Code Review

Performs a rigorous 7-point code audit covering security, performance, and maintainability to ensure production-grade software quality.

Auto Testing

Automatically generates and executes comprehensive test suites after every code modification to ensure application stability.

Root Cause Tracing

Systematically identifies the origin of deep-seated bugs by tracing execution flow backward through the call stack to the original trigger.

Test-Driven Development (TDD)

Enforces a disciplined red-green-refactor workflow by automating test-first development requirements and coverage gate configuration.

User-Scoped Data Filtering

Implements secure multi-tenant data access patterns and ownership verification using Python, FastAPI, and SQLAlchemy.

Automated Test Suite Writer

Generates comprehensive unit, integration, and E2E tests with a focus on edge cases, error conditions, and industry best practices.

Seven Questions Checklist

Validates software engineering principles through a rigorous seven-point quality gate to ensure excellence before any code implementation begins.

Test Data Generation

Provides standardized patterns and implementation guidance for creating realistic, maintainable test data using industry-standard factory libraries.

External Reference Detection

Identifies and manages external file references and script dependencies across diverse system paths.

API Contract Test Validator

Validates API contracts using consumer-driven testing and OpenAPI specifications to ensure provider-consumer compatibility and identify breaking changes.

Electron E2E & CDP Testing

Automates end-to-end testing and debugging for Electron applications using Chrome DevTools Protocol for both main and renderer processes.

Expert Panel Analysis

Diagnoses complex technical issues and prompt failures by convening a panel of specialized expert personas to provide multi-faceted troubleshooting and actionable solutions.

Python Testing Patterns

Implements comprehensive Python testing strategies using pytest, fixtures, and advanced mocking techniques to ensure code reliability.

Python Testing Patterns

Implements robust Python testing suites using pytest, advanced mocking, and test-driven development best practices.

Root Cause Tracing

Traces software bugs backward through the call stack to identify and resolve original triggers rather than symptoms.