react

A guide to React 19, a JavaScript library for building interactive user interfaces with components.

In plain words
What is it for?
Use it when writing or reviewing React components, hooks, server components, actions, transitions, deferred values, or React Compiler-related code.
Why use it?
It helps avoid slow or unstable interfaces by covering concurrent updates, server components, effects, state, and memoization.

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/pymodel/react-frontend-skills/react
Any agent
npx skills add PyModel/react-frontend-skills --skill react
Clone the repo
git clone --depth 1 https://github.com/PyModel/react-frontend-skills

Made for: Claude Code, Codex.

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,845 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 $0.00059 $0.01845
Opus 5 $0.00030 $0.00923
Sonnet 5 $0.00012 $0.00369
Haiku 4.5 $0.00006 $0.00185

Measured yesterday against content hash 2be84d7fdaa2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

react 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 yesterday.

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/react/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

React 19 Best Practices

Comprehensive performance optimization guide for React 19 applications. Contains 40 rules across 8 categories, prioritized by impact from critical (concurrent rendering, server components) to incremental (component patterns).

Table of Contents

  1. Concurrent RenderingCRITICAL
  2. Server ComponentsCRITICAL
  3. Actions & FormsHIGH
  4. Data FetchingHIGH
  5. State ManagementMEDIUM-HIGH
  6. Memoization & PerformanceMEDIUM
  7. Effects & EventsMEDIUM
  8. Component PatternsLOW-MEDIUM

Read the full file on GitHub · 74 lines

Files

What ships with it

42 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday First seen · 74 lines · 59 tokens per session scan A 2be84d7fdaa2

Subscribe to this mod's changes

react is a skill published in the GitHub repository PyModel/react-frontend-skills (3 stars, last pushed 12d ago), licensed MIT. It adds 59 tokens to every session and 1,845 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 2026-08-31.

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