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Safety Risk Alert Deck Template

deck-safety-alert

nexu-io/html-anything

A structured presentation deck designed for rigorous review of safety incidents, security risks, and policy compliance. It utilizes distinct visual cues, including hazard stripes, L1/L2/L3 severity tiers, and dedicated code blocks for policy review (e.g., YAML). Ideal for red team exercises, post-incident reviews, and high-stakes technical briefings.

Run Bounded Coding Tasks with Codex

sickn33/antigravity-awesome-skills

Execute discrete, bounded coding, review, or verification tasks using the Codex CLI as an isolated subagent. This tool is ideal for tasks requiring explicit file ownership, such as isolated refactoring, feature implementation, or independent code verification, without relying on continuous conversational context. It runs in a safe sandbox environment.

ADR Compliance Review for Code Changes

This tool reviews code changes (via diff) against accepted Architecture Decision Records (ADRs) to detect potential architectural drift, compliance violations, and adherence issues. It simulates a pre-merge check, ensuring that new code respects established architectural constraints and decisions made by the team. Ideal for CI/CD pipelines and mandatory code reviews.

Code Walkthrough Tour Generator

Generates structured CodeTour `.tour` files in JSON format for detailed, step-by-step code walkthroughs. This tool is essential for onboarding new engineers, conducting architectural reviews, or documenting complex PR changes. It provides a guided narrative that directs users to specific files and line anchors, ensuring a structured and focused learning journey.

Code Health and Maintainability Gate

Code Health MCP provides structural maintainability feedback and design-level health scores, going beyond standard linting. It is crucial for AI-assisted coding workflows, allowing users to review code quality, verify score deltas after changes, and gate commits or pull requests to prevent codebase regression. Use it when refactoring, updating legacy modules, or ensuring the integrity of large diffs.

Coding Standards and Best Practices Guide

coding-standards

This comprehensive guide establishes foundational coding standards and best practices for enhancing code quality, readability, and maintainability across all projects. It covers naming conventions, immutability patterns, error handling, and core design principles like KISS, DRY, and YAGNI, applicable to TypeScript, JavaScript, and React development. Use it when starting a new module or performing code reviews.

ECC Configuration Setup

Guides the installation, update, and reconfiguration of ECC within Claude Code, Codex, and Kimi, respecting each harness's native plugin, scope, and hook capabilities. Provides interactive wizards adapted to the current harness, with dry-run previews, single confirmation, and verification.

C++ Coding Standards and Best Practices

cpp-coding-standards

A comprehensive guide derived from C++ Core Guidelines, enforcing modern, safe, and idiomatic practices for C++17, C++20, and C++23. It emphasizes crucial principles like RAII, type safety, immutability, and proper resource ownership using smart pointers. Use this when writing new features, reviewing existing code, or making architectural decisions to ensure code quality and consistency.

DDD Boundary and Invariant Validator

A comprehensive tool designed to audit and validate the structural integrity of a Domain-Driven Design (DDD) codebase. It detects cross-context import violations, checks for violations of aggregate invariant rules, and enforces naming conventions for domain events and repositories. Ideal for CI/CD gates and pre-merge code reviews to prevent architectural decay.

Diff Analysis for Code Review

This tool analyzes Git diffs to provide comprehensive insights for Pull Requests (PRs) and large code changes. It calculates risk scores based on churn history and sensitive areas, classifies changes (e.g., feature, bugfix), recommends required reviewers, and provides detailed statistics. Use this before merging to assess code quality and minimize deployment risk.

AI Evaluation and Regression Testing Harness

A formal framework designed for evaluating AI-assisted code generation sessions. It implements Development Oriented Evals (EDD) principles, allowing users to define capability and regression criteria. The system supports multiple evaluation types—code-based, model-based, and human review—and tracks reliability using advanced metrics like pass@k, ensuring robust quality control for AI agents.

Flutter Dart Code Review Best Practices

flutter-dart-code-review

A comprehensive, library-agnostic checklist covering best practices for Flutter and Dart applications. It guides developers on architectural principles, state management patterns (BLoC, Riverpod, etc.), Dart idioms, performance optimization, and clean code principles, making it invaluable for code reviews.

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