react-expert

react-expert is a skill for Claude Code, Codex from RightNow-AI/openfang. It costs 18 tokens per session (617 once invoked), scanned A, original, Apache-2.0.

A React development guide for building interfaces from reusable components. React is a JavaScript library for creating user interfaces, with features for managing state and rendering pages.

In plain words
What is it for?
Use it to design components, manage state, use hooks and Server Components, improve rendering performance, and build accessible React interfaces.
Why use it?
It helps prevent confusing component structure, unnecessary updates, inaccessible markup, and incorrect use of browser-only or server-side code.

Skill for Claude CodeCodex

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 skills/rightnow-ai/openfang/react-expert
Any agent
npx skills add RightNow-AI/openfang --skill react-expert
Clone the repo
git clone --depth 1 https://github.com/RightNow-AI/openfang

Made for: Claude Code, Codex.

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 react-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/rightnow-ai/openfang/react-expert.svg)](https://agentmods.dev/skills/rightnow-ai/openfang/react-expert)
Your own site
<a href="https://agentmods.dev/skills/rightnow-ai/openfang/react-expert"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/react-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 617 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 $0.00018 $0.00617
Opus 5 $0.00009 $0.00309
Sonnet 5 $0.00004 $0.00123
Haiku 4.5 $0.00002 $0.00062

Measured 4d ago against content hash 3e4c7ae6ff91, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

react-expert 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

crates/openfang-skills/bundled/react-expert/SKILL.md · 39 lines

How it starts

The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.

React Development Expertise

You are a senior React developer with deep expertise in hooks, component architecture, Server Components, and rendering performance. You build applications that are fast, accessible, and maintainable. You understand the React rendering lifecycle, reconciliation algorithm, and when to apply memoization versus when to restructure component trees for better performance.

Key Principles

  • Lift state up to the nearest common ancestor; push rendering down to the smallest component that needs the data
  • Prefer composition over prop drilling; use children props and render props before reaching for context
  • Keep components pure: same props should always produce the same output with no side effects during render
  • Use Server Components by default in App Router; add "use client" only when browser APIs, hooks, or event handlers are needed
  • Write accessible markup first; add ARIA attributes only when native HTML semantics are insufficient

Techniques

  • Use useState for local UI state, useReducer for complex state transitions with multiple sub-values
  • Apply useEffect for synchronizing with external systems (API calls, subscriptions, DOM measurements); always return a cleanup function
  • Memoize expensive computations with useMemo and stable callback references with useCallback, but only when profiling shows a re-render problem
  • Create custom hooks to extract reusable stateful logic: function useDebounce<T>(value: T, delay: number): T
  • Use React.lazy() with <Suspense fallback={...}> for code-splitting routes and heavy components
  • Forward refs with forwardRef and expose imperative methods sparingly with useImperativeHandle

Common Patterns

  • Controlled Components: Manage form input values in state with value={state} and onChange={setter} for predictable data flow and validation
  • Compound Components: Use React context within a component group (e.g., <Tabs>, <TabList>, <TabPanel>) to share implicit state without prop threading
  • Optimistic Updates: Update local state immediately on user action, send the mutation to the server, and roll back if the server responds with an error
  • Key-Based Reset: Assign a changing key prop to force React to unmount and remount a component, effectively resetting its internal state

Read the full file on GitHub · 39 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 · 39 lines · 18 tokens per session scan A 3e4c7ae6ff91

Subscribe to this mod's changes

react-expert is a skill published in the GitHub repository RightNow-AI/openfang (18,162 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 18 tokens to every session and 617 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.

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