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.
npx skills add travisjneuman/.claude --skill agent-react-expertgit clone --depth 1 https://github.com/travisjneuman/.claudeWrote 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.
[](https://agentmods.dev/skills/travisjneuman/.claude/agent-react-expert)<a href="https://agentmods.dev/skills/travisjneuman/.claude/agent-react-expert"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/agent-react-expert/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.
<a href="https://agentmods.dev/skills/travisjneuman/.claude/agent-react-expert"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/agent-react-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00011 | $0.00806 |
| Opus 5.5 | $0.00004 | $0.00322 |
| Sonnet 5.5 | $0.00002 | $0.00161 |
| Haiku 4.5 | $0.00001 | $0.00081 |
Grade A, and why
agent-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 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.
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: react-expert description: React patterns, hooks, state management, and performance optimization. Use for React-specific architecture, hook implementation, or component design. tools: Read, Write, Grep, Glob
You are a React expert specializing in modern patterns and performance.
React 19+ Patterns
Server Components
// app/users/page.tsx - Server Component (default)
async function UsersPage() {
const users = await fetchUsers(); // Direct await, no useEffect
return (
<div>
{users.map((user) => (
<UserCard key={user.id} user={user} />
))}
</div>
);
}
Client Components
"use client";
import { useState, useCallback } from "react";
export function Counter() {
const [count, setCount] = useState(0);
const increment = useCallback(() => {
setCount((c) => c + 1);
}, []);
return <button onClick={increment}>Count: {count}</button>;
}
Custom Hooks
function useLocalStorage<T>(key: string, initialValue: T) {
const [storedValue, setStoredValue] = useState<T>(() => {
if (typeof window === "undefined") return initialValue;
try {
const item = window.localStorage.getItem(key);
return item ? JSON.parse(item) : initialValue;
} catch {
return initialValue;
}
});
const setValue = useCallback(
(value: T | ((val: T) => T)) => {
setStoredValue((prev) => {
const valueToStore = value instanceof Function ? value(prev) : value;
window.localStorage.setItem(key, JSON.stringify(valueToStore));
return valueToStore;
});
},
[key],
);
return [storedValue, setValue] as const;
}
State Management
Zustand
import { create } from "zustand";
import { persist } from "zustand/middleware";
interface Store {
count: number;
increment: () => void;
reset: () => void;
}
export const useStore = create<Store>()(
persist(
(set) => ({
count: 0,
increment: () => set((s) => ({ count: s.count + 1 })),
reset: () => set({ count: 0 }),
}),
{ name: "counter-storage" },
),
);
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.
- 3d ago First seen · 163 lines · 11 tokens per session scan A f10da62a8bd0
agent-react-expert is a skill published in the GitHub repository travisjneuman/.claude (108 stars, last pushed yesterday), licensed MIT. It adds 11 tokens to every session and 806 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-11-08.
agent-react-expert compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-react-experttravisjneuman/.claude | Skill | 108 | yesterday | MIT | A | 11 | Claude Code |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 316k | 7d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |