moai-domain-frontend

moai-domain-frontend is a skill for Claude Code from modu-ai/moai-adk. It costs 54 tokens per session (1,717 once invoked), scanned A, original, Apache-2.0.

A frontend development guide for the browser-facing part of web applications, covering React, Next.js, Vue, components, accessibility, performance, and state management.

In plain words
What is it for?
Use it to build web applications and component libraries, create accessible interfaces, optimize frontend performance, and add application state handling.
Why use it?
It helps structure interactive interfaces and addresses common problems such as shared UI patterns, slow pages, and managing changing application data.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code.

Good fit Use it to build web applications and component libraries, create accessible interfaces, optimize frontend performance, and add application state handling.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/modu-ai/moai-adk/moai-domain-frontend
About the project

MoAI-ADK is a Go-based harness that organizes and verifies Claude Code work across planning, implementation, synchronization, and review stages. Developers use it to structure agentic coding tasks, apply quality gates, and route work across language models, while the catalogue entries extend its workflow with skills, hooks, commands, MCP servers, instructions, and settings.

modu-ai/moai-adk · 1,206 stars · on GitHub · adk.mo.ai.kr

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add modu-ai/moai-adk --skill moai-domain-frontend
Clone the repo
git clone --depth 1 https://github.com/modu-ai/moai-adk

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for moai-domain-frontend

README.md
[![agentmods](https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-domain-frontend/github.svg)](https://agentmods.dev/skills/modu-ai/moai-adk/moai-domain-frontend)
Your own site
<a href="https://agentmods.dev/skills/modu-ai/moai-adk/moai-domain-frontend"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-domain-frontend/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for moai-domain-frontend

Your own site · 80×15
<a href="https://agentmods.dev/skills/modu-ai/moai-adk/moai-domain-frontend"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-domain-frontend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,717 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 153
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.01717
Opus 5 $0.00027 $0.00859
Sonnet 5 $0.00011 $0.00343
Haiku 4.5 $0.00005 $0.00172

Measured 12d ago against content hash b341f16ff9a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

moai-domain-frontend scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/moai-domain-frontend/SKILL.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Frontend Development Specialist

Quick Reference

Modern Frontend Development - Comprehensive patterns for React 19, Next.js 16, Vue 3.5.

Core Capabilities:

  • React 19: Server components, concurrent features, cache(), Suspense
  • Next.js 16: App Router, Server Actions, ISR, Route handlers
  • Vue 3.5: Composition API, TypeScript, Pinia state management
  • Component Architecture: Design systems, compound components, CVA
  • Performance: Code splitting, dynamic imports, memoization, Framer Motion animations

When to Use:

  • Modern web application development
  • Component library creation
  • Frontend performance optimization
  • UI/UX with accessibility

Patterns

Framework Patterns

React 19 Patterns:

  • Server Components, Concurrent features, cache() API, Form handling

Next.js 16 Patterns:

  • App Router, Server Actions, ISR, Route Handlers, Parallel Routes

Vue 3.5 Patterns:

  • Composition API, Composables, Reactivity, Pinia, Provide/Inject

Architecture Patterns

Component Architecture:

  • Design tokens, CVA variants, Compound components, Accessibility

State Management:

  • Zustand, Redux Toolkit, React Context, Pinia

Performance Optimization:

  • Code splitting, Dynamic imports, Image optimization, Memoization

AI-Assisted Frontend Patterns:

  • Visual reference strategy, Playwright verification, motion design, reasoning-level tuning

Vercel React Best Practices:

  • 45 rules across 8 categories from Vercel Engineering
  • Eliminating waterfalls, bundle optimization, server-side performance
  • Client-side data fetching, re-render optimization, rendering performance

Implementation Quickstart

React 19 Server Component

Create an async page component that uses the cache function from React to memoize data fetching. Import Suspense for loading states. Define a getData function that fetches from the API endpoint with an id parameter and returns JSON. In the page component, wrap the DataDisplay component with Suspense using a Skeleton fallback, and pass the awaited getData result as the data prop.

Read the full file on GitHub · 198 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 198 lines · 54 tokens per session scan A b341f16ff9a4

Subscribe to this mod's changes

moai-domain-frontend is a skill published in the GitHub repository modu-ai/moai-adk (1,206 stars, last pushed yesterday), licensed Apache-2.0. It adds 54 tokens to every session and 1,717 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.