security & testing向けのClaudeスキルを発見してください。105個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Validates Mojo code for memory safety violations, ownership issues, and potential runtime crashes.
Analyzes differences between test runs to identify flaky tests and diagnose intermittent failures in software projects.
Verifies agent hierarchies, delegation chains, and escalation paths to ensure stable multi-agent system orchestration.
Analyzes cyclomatic complexity, nesting depth, and function length to identify code refactoring candidates.
Designs autonomous, randomized workloads to discover race conditions and edge cases in distributed actor systems.
Conducts automated security audits to detect vulnerabilities, exposed secrets, and unsafe coding patterns across Mojo and Python projects.
Ensures structural integrity of AI-generated orchestrator plan files by validating them against strict JSON schemas.
Automates the iterative cycle of code review and bug fixing to systematically reach a clean, issue-free code state.
Validates memory safety, ownership transfers, and borrowing rules within Mojo code to prevent segmentation faults and data corruption.
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 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.
Extracts and summarizes failure information from test logs to quickly identify root causes and categorize software errors.
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.
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.
Validates charmbracelet/wish SSH server implementations for security, middleware correctness, and session management.
Reviews and optimizes terminal user interface code built with the Charmbracelet BubbleTea framework.
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.
Compares and scores multiple code implementations using a multi-phase LLM-as-judge framework to evaluate functionality, security, and quality.
Implements behavior-driven frontend tests using DOM Testing Library best practices to ensure reliable, accessible, and refactor-resistant web applications.
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.
Guides the implementation of modern unit tests using Apple’s Swift Testing framework with macro-driven patterns.
Enforces the Red-Green-Refactor cycle to ensure production code is only written in response to failing behavioral tests.
Validates bidirectional integrations between repositories to ensure cross-compatibility and prevent breaking changes before release.
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