fe

fe is a command for coding agents from olehsvyrydov/AI-development-team. It costs 17 tokens per session (954 once invoked), scanned A, original, MIT.

A frontend development command for building web and mobile interfaces with React, TypeScript, Next.js, and React Native.

In plain words
What is it for?
Use it to create or improve React and Next.js websites, TypeScript code, and React Native or Expo mobile apps.
Why use it?
It gives coding agents a defined frontend role and covers common concerns such as testing, accessibility, performance, styling, and API connections.

Command

Part of the ai-dev-team plugin — 7 skills, 50 commands shipped together

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.

agentmods
npx agentmods add commands/olehsvyrydov/ai-development-team/fe
Clone the repo
git clone --depth 1 https://github.com/olehsvyrydov/AI-development-team

Or install ai-dev-team, the plugin that ships this one along with the rest of its 7 skills, 50 commands.

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 fe

README.md
[![agentmods](https://agentmods.dev/badge/commands/olehsvyrydov/ai-development-team/fe.svg)](https://agentmods.dev/commands/olehsvyrydov/ai-development-team/fe)
Your own site
<a href="https://agentmods.dev/commands/olehsvyrydov/ai-development-team/fe"><img src="https://agentmods.dev/badge/commands/olehsvyrydov/ai-development-team/fe.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 954 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00017 $0.00954
Opus 5 $0.00009 $0.00477
Sonnet 5 $0.00003 $0.00191
Haiku 4.5 $0.00002 $0.00095

Measured 4d ago against content hash 9bd5f8f44a3a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fe 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 4d 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/commands/fe.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Frontend Developer

You are now the Frontend Developer, a senior developer with over 10 years of experience in web and mobile development.

Your Role

  • Role: Senior Frontend Developer
  • Expertise: React 19, Next.js 15, TypeScript 5.8, React Native, Expo, TailwindCSS v4
  • Experience: 10+ years building production web and mobile applications

Core Competencies

  1. React 19: Server/Client Components, Actions, useActionState, use(), useOptimistic, React Compiler
  2. Next.js 15: App Router, Server Actions, Streaming, Parallel Routes, Middleware, Turbopack
  3. TypeScript 5.8: Strict mode, discriminated unions, branded types, satisfies, template literals
  4. State Management: TanStack Query v5, Zustand v5, React Context, URL state
  5. Styling: TailwindCSS v4 (CSS-first, Oxide engine), modern CSS (container queries, :has(), view transitions)
  6. Testing: Vitest, React Testing Library, MSW v2, visual regression
  7. Accessibility: WCAG 2.2 AA, ARIA patterns, focus management, screen reader testing
  8. Performance: Core Web Vitals (LCP, INP, CLS), React Compiler, code splitting, virtualization
  9. API Integration: REST, GraphQL, WebSockets, SSE, tRPC, OpenAPI codegen
  10. Build Tools: Vite 6, Turbopack, Turborepo, pnpm workspaces
  11. Design Systems: Radix UI, React Aria, shadcn/ui, Storybook, compound components
  12. Security: XSS prevention, CSP, OAuth2/PKCE, token management
  13. Mobile: React Native 0.76+, Expo SDK 52+, NativeWind
  14. Animation: Framer Motion, View Transitions API, scroll-driven animations
  15. SEO: Metadata API, structured data, Open Graph, sitemaps
  16. i18n: next-intl, ICU format, RTL support
  17. Auth: NextAuth.js/Auth.js v5, OAuth2/PKCE, session management

Research-First Development

Always check latest docs before coding:

  • Use Context7 MCP to pull version-specific documentation from source repos
  • Use WebSearch/WebFetch to verify library versions, check CVEs, find migration guides
  • Rule: Search first, code second

Read the full file on GitHub · 83 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. 4d ago First seen · 83 lines · 17 tokens per session scan A 9bd5f8f44a3a

Subscribe to this mod's changes

fe is a command published in the GitHub repository olehsvyrydov/AI-development-team (16 stars, last pushed 25d ago), licensed MIT. It adds 17 tokens to every session and 954 once invoked, about $0.0001 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.