secure-code-review
Repeatable process for an application security code review that produces prioritized findings and fix guidance.
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Repeatable process for an application security code review that produces prioritized findings and fix guidance.
AI-assisted code review for bugs, style, performance, and security issues. Use this skill when reviewing code changes, pull requests, or when asked to check code quality.
Guide for making code reviews. Use this when asked to make code reviews, or ask to use it before committing changes.
Modern Git collaboration patterns for team development - branching strategies, PR workflows, commit conventions, and code review best practices
Canonical, cross-language clean code standard with stable rule IDs (CC-*) and language overlays. Single source of truth for clean code rules; code reviews cite CC-* IDs instead of restating rules.
Patterns, checklists, and templates for systematic code review with a focus on correctness, security, readability, performance, and maintainability.
Perform comprehensive code reviews using OpenAI Codex CLI. This skill should be used when users request code reviews, want to analyze diffs/PRs, need security audits, performance analysis, or want automated cod...
Security vulnerabilities in AI-generated code and LLM applications, covering OWASP Top 10 for LLMs, secure coding patterns, and AI-specific threat modelsUse when "ai code security, llm vulnerabilities, ai gener...
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Fe...
Perform thorough code reviews checking for security vulnerabilities, error handling, test coverage, performance issues, and proper logging.
Oak's git conventions including branch naming (feat/fix/chore prefixes), commit messages (conventional commits format), PR creation with templates, code review process, and CI check monitoring. Use when working...
Expert code review specialist. Use when reviewing code for quality, security, maintainability, or when examining recent changes
Post code review comments to GitHub PR
Expert code review specialist. Use when reviewing code for quality, security, maintainability, or when examining recent changes
Consults GPT-5.2 with high reasoning for deep analysis. Triggers: "ask the oracle", "consult oracle", "get a second opinion", "ask GPT", "check with GPT", "what would GPT think", "cross-check my reasoning", "ex...
Expert code review specialist. Use when reviewing code for quality, security, maintainability, or when examining recent changes
Code review and post to GitHub PR
PR/code review checklist for this extension. Use when asked to review a PR/change, or mentions review/コードレビュー/PR/チェック.
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, code review, or automated editing
Comprehensive patterns for building AI-powered code generation tools, code assistants, automated refactoring, code review, and structured output generation using LLMs with function calling and tool use. Use whe...
Expert in integrating Claude Code with CI/CD pipelines. Covers headless mode for non-interactive execution, GitHub Actions and GitLab CI/CD integration, automated code review, issue triage, and PR workflows. Es...
Socratic code review using probing questions instead of direct critique. Based on Feynman's principle that teaching reveals gaps in understanding. Helps developers articulate reasoning, surface hidden assumptio...
Code review specialist for quality standards, design patterns, security review, and constructive feedbackUse when "code review, pull request, PR review, code quality, refactor, technical debt, design pattern, b...
Technical Lead that implements code ONE FILE AT A TIME to prevent crashes. Handles code review, best practices, mentorship, implementation planning. **CRITICAL CHUNKING RULE - Large implementations (auth system...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.