react-components

react-components is a skill for Claude Code, Codex from langchain-ai/skills-benchmarks. It costs 12 tokens per session (444 once invoked), scanned A, original, MIT.

Guidance for building React user-interface components with functions, reusable hooks, and TypeScript types. React components are the parts of a web page that display information or handle interaction.

In plain words
What is it for?
Use it when building forms, loading user data, handling loading and error states, or extracting shared logic into custom hooks.
Why use it?
It helps keep components and their data-loading logic easier to reuse and maintain as an application grows.

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/langchain-ai/skills-benchmarks/react_components
Any agent
npx skills add langchain-ai/skills-benchmarks --skill react_components
Clone the repo
git clone --depth 1 https://github.com/langchain-ai/skills-benchmarks

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-components

README.md
[![agentmods](https://agentmods.dev/badge/skills/langchain-ai/skills-benchmarks/react_components.svg)](https://agentmods.dev/skills/langchain-ai/skills-benchmarks/react_components)
Your own site
<a href="https://agentmods.dev/skills/langchain-ai/skills-benchmarks/react_components"><img src="https://agentmods.dev/badge/skills/langchain-ai/skills-benchmarks/react_components.svg" alt="Measured on agentmods" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 444 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 $0.00012 $0.00444
Opus 5 $0.00006 $0.00222
Sonnet 5 $0.00002 $0.00089
Haiku 4.5 $0.00001 $0.00044

Measured 3d ago against content hash c3d12886f029, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

react-components 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 3d 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.

skills/noise/react_components/SKILL.md · 79 lines

What it actually says

React Component Patterns

Build maintainable React components using modern patterns.

Functional Components with Hooks

Always prefer functional components over class components:

import { useState, useEffect, useCallback } from 'react';

interface UserProps {
  userId: string;
  onUpdate?: (user: User) => void;
}

export function UserProfile({ userId, onUpdate }: UserProps) {
  const [user, setUser] = useState<User | null>(null);
  const [loading, setLoading] = useState(true);

  useEffect(() => {
    fetchUser(userId).then(setUser).finally(() => setLoading(false));
  }, [userId]);

  const handleSave = useCallback(async (data: UserData) => {
    const updated = await updateUser(userId, data);
    setUser(updated);
    onUpdate?.(updated);
  }, [userId, onUpdate]);

  if (loading) return <Skeleton />;
  if (!user) return <NotFound />;

  return <UserForm user={user} onSave={handleSave} />;
}

Custom Hooks

Extract reusable logic into custom hooks:

function useAsync<T>(asyncFn: () => Promise<T>, deps: any[]) {
  const [state, setState] = useState<AsyncState<T>>({
    loading: true,
    error: null,
    data: null,
  });

  useEffect(() => {
    setState(s => ({ ...s, loading: true }));
    asyncFn()
      .then(data => setState({ loading: false, error: null, data }))
      .catch(error => setState({ loading: false, error, data: null }));
  }, deps);

  return state;
}

Component Composition

Use composition over prop drilling:

<Card>
  <Card.Header>Title</Card.Header>
  <Card.Body>{content}</Card.Body>
  <Card.Footer>
    <Button>Action</Button>
  </Card.Footer>
</Card>
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. 3d ago First seen · 79 lines · 12 tokens per session scan A c3d12886f029

Subscribe to this mod's changes

react-components is a skill published in the GitHub repository langchain-ai/skills-benchmarks (116 stars, last pushed 15d ago), licensed MIT. It adds 12 tokens to every session and 444 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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