A2A agent protocol interoperability, Agent Cards, and MCP bridging / Protokol agen A2A, Agent Cards, dan integrasi MCP.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for API rate limiting, bot protection, DDoS mitigation, brute-force prevention, and abuse detection / Panduan ahli untuk rate limiting API, perlindungan bot, mitigasi DDoS, pencegahan brute-force, dan deteksi penyalahgunaan.
日本語の概要は準備中です。原文の説明を表示しています。
実行スコア 未検証
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
<a name="english"></a>
autonomous-red-teamer, prompt-injection-firewall, zero-trust-secret-vaultauthentication-identity-expert, compliance-gdpr-privacy-expertapi-design-expert, js-backend-expert, api-gateway-proxy-expertcloud-hosting-expert, cloudflare-workers-expertsaas-billing, doku-payment-gateway, payment-gateway-expertproduction-ready-hardener, brainstorming, zero-to-prod-orchestrator, session-memory-managerProduction-grade guide for protecting APIs and web applications from abuse, overuse, and attacks. Covers rate limiting algorithms (Token Bucket, Sliding Window), Upstash Ratelimit, bot protection (Cloudflare Turnstile, hCaptcha), DDoS mitigation at edge, brute-force login prevention, API key management & usage quotas, and response headers (X-RateLimit, Retry-After).
Activate this skill when:
| Algorithm | Behavior | Best For | Burst Handling |
|---|---|---|---|
| Fixed Window | Resets counter at interval boundary | Simple endpoints | Allows double burst at window edge |
| Sliding Window | Rolling window, smooth distribution | API endpoints | Smooth, no edge burst |
| Token Bucket | Tokens refill at fixed rate | High-throughput APIs | Allows controlled bursts |
| Leaky Bucket | Processes at fixed rate, queues excess | Stream processing | No bursts, constant rate |
Recommendation: Use Sliding Window for most API endpoints. Use Token Bucket for endpoints that should allow burst traffic.
// lib/ratelimit.ts
import { Ratelimit } from '@upstash/ratelimit';
import { Redis } from '@upstash/redis';
const redis = Redis.fromEnv();
// Different rate limiters for different tiers
export const rateLimiters = {
/** Public API: 10 requests per 10 seconds */
public: new Ratelimit({
redis,
limiter: Ratelimit.slidingWindow(10, '10s'),
prefix: 'rl:public',
analytics: true,
}),
/** Authenticated API: 100 requests per minute */
authenticated: new Ratelimit({
redis,
limiter: Ratelimit.slidingWindow(100, '1m'),
prefix: 'rl:auth',
analytics: true,
}),
/** Pro tier: 1000 requests per minute */
pro: new Ratelimit({
redis,
limiter: Ratelimit.slidingWindow(1000, '1m'),
prefix: 'rl:pro',
analytics: true,
}),
/** Login endpoint: 5 attempts per 15 minutes */
login: new Ratelimit({
redis,
limiter: Ratelimit.slidingWindow(5, '15m'),
prefix: 'rl:login',
}),
/** Password reset: 3 per hour */
passwordReset: new Ratelimit({
redis,
limiter: Ratelimit.slidingWindow(3, '1h'),
prefix: 'rl:pwreset',
}),
};
// middleware.ts (Next.js)
import { NextResponse, type NextRequest } from 'next/server';
import { rateLimiters } from '@/lib/ratelimit';
export async function middleware(request: NextRequest) {
if (request.nextUrl.pathname.startsWith('/api/')) {
const ip = request.headers.get('x-forwarded-for') ?? request.ip ?? '127.0.0.1';
const identifier = ip;
const limiter = request.nextUrl.pathname.startsWith('/api/auth/login')
? rateLimiters.login
: rateLimiters.public;
const { success, limit, remaining, reset } = await limiter.limit(identifier);
if (!success) {
return NextResponse.json(
{ error: 'Too many requests', retryAfter: Math.ceil((reset - Date.now()) / 1000) },
{
status: 429,
headers: {
'X-RateLimit-Limit': limit.toString(),
'X-RateLimit-Remaining': '0',
'X-RateLimit-Reset': reset.toString(),
'Retry-After': Math.ceil((reset - Date.now()) / 1000).toString(),
},
},
);
}
const response = NextResponse.next();
response.headers.set('X-RateLimit-Limit', limit.toString());
response.headers.set('X-RateLimit-Remaining', remaining.toString());
response.headers.set('X-RateLimit-Reset', reset.toString());
return response;
}
}
export const config = { matcher: '/api/:path*' };
// lib/tiered-ratelimit.ts
import { Ratelimit } from '@upstash/ratelimit';
type PlanTier = 'free' | 'pro' | 'enterprise';
const PLAN_LIMITS: Record<PlanTier, { requests: number; window: string }> = {
free: { requests: 100, window: '1h' },
pro: { requests: 5000, window: '1h' },
enterprise: { requests: 50000, window: '1h' },
};
export function getRateLimiterForPlan(plan: PlanTier): Ratelimit {
const config = PLAN_LIMITS[plan];
return new Ratelimit({
redis,
limiter: Ratelimit.slidingWindow(config.requests, config.window as any),
prefix: `rl:api:${plan}`,
});
}
// Usage in API route
export async function GET(request: Request) {
const user = await getAuthUser(request);
const limiter = getRateLimiterForPlan(user.plan);
const { success, remaining } = await limiter.limit(user.id);
if (!success) {
return Response.json({
error: 'Rate limit exceeded',
upgrade: user.plan !== 'enterprise' ? 'https://app.example.com/pricing' : undefined,
}, { status: 429 });
}
return Response.json({ success: true, message: 'Request processed within rate limit allocation.' });
}
// components/turnstile.tsx
'use client';
import { Turnstile } from '@marsidev/react-turnstile';
interface TurnstileWidgetProps {
onVerify: (token: string) => void;
}
export function TurnstileWidget({ onVerify }: TurnstileWidgetProps) {
return (
<Turnstile
siteKey={process.env.NEXT_PUBLIC_TURNSTILE_SITE_KEY!}
onSuccess={onVerify}
options={{ theme: 'auto', size: 'flexible' }}
/>
);
}
// Server-side verification
export async function verifyTurnstileToken(token: string, ip?: string): Promise<boolean> {
const response = await fetch('https://challenges.cloudflare.com/turnstile/v0/siteverify', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
secret: process.env.TURNSTILE_SECRET_KEY,
response: token,
remoteip: ip,
}),
});
const data = await response.json();
return data.success === true;
}
// lib/login-protection.ts
const MAX_ATTEMPTS = 5;
const LOCKOUT_DURATION = 15 * 60; // 15 minutes in seconds
const PROGRESSIVE_DELAYS = [0, 1000, 2000, 4000, 8000]; // Progressive delay per attempt
export async function checkLoginAttempt(email: string, ip: string): Promise<{
allowed: boolean;
remainingAttempts: number;
lockoutEndsAt?: Date;
}> {
const key = `login-attempts:${email}:${ip}`;
const attempts = await redis.incr(key);
if (attempts === 1) {
await redis.expire(key, LOCKOUT_DURATION);
}
if (attempts > MAX_ATTEMPTS) {
const ttl = await redis.ttl(key);
return {
allowed: false,
remainingAttempts: 0,
lockoutEndsAt: new Date(Date.now() + ttl * 1000),
};
}
// Progressive delay
const delay = PROGRESSIVE_DELAYS[Math.min(attempts - 1, PROGRESSIVE_DELAYS.length - 1)];
if (delay > 0) await new Promise(r => setTimeout(r, delay));
return { allowed: true, remainingAttempts: MAX_ATTEMPTS - attempts };
}
export async function clearLoginAttempts(email: string, ip: string): Promise<void> {
await redis.del(`login-attempts:${email}:${ip}`);
}
// lib/api-keys.ts
import { nanoid } from 'nanoid';
import { hash, verify } from '@node-rs/argon2';
export async function createApiKey(userId: string, name: string) {
const rawKey = `sk_live_${nanoid(32)}`;
const prefix = rawKey.slice(0, 12); // Show prefix for identification
const hashedKey = await hash(rawKey);
await db.insert(apiKeys).values({
userId,
name,
prefix,
hashedKey,
lastUsedAt: null,
});
// Return raw key only once — cannot be retrieved later
return { key: rawKey, prefix };
}
export async function validateApiKey(rawKey: string) {
const prefix = rawKey.slice(0, 12);
const candidates = await db.query.apiKeys.findMany({
where: and(
eq(apiKeys.prefix, prefix),
eq(apiKeys.isRevoked, false),
),
});
for (const candidate of candidates) {
if (await verify(candidate.hashedKey, rawKey)) {
// Update last used timestamp
await db.update(apiKeys)
.set({ lastUsedAt: new Date() })
.where(eq(apiKeys.id, candidate.id));
return candidate;
}
}
return null;
}
| Header | Purpose | Example |
|---|---|---|
X-RateLimit-Limit | Max requests allowed | 100 |
X-RateLimit-Remaining | Remaining requests in window | 87 |
X-RateLimit-Reset | Unix timestamp when window resets | 1723382400 |
Retry-After | Seconds until retry is allowed (on 429) | 60 |
| Anti-Pattern | Problem | Correct Approach |
|---|---|---|
| Rate limiting by IP only | Shared IPs affect multiple users | Combine IP + user ID + API key |
| No rate limit on auth endpoints | Brute-force attacks | Strict limits: 5 attempts / 15 min |
| Fixed window rate limiting | 2x burst at window boundary | Use sliding window algorithm |
| No 429 response headers | Clients can't implement backoff | Always include Retry-After header |
| CAPTCHA on every request | Terrible UX, accessibility issues | Only trigger after suspicious behavior |
| Rate limit in application only | Still hits your server | Add edge-level protection (Cloudflare WAF) |
<a name="bahasa-indonesia"></a>
autonomous-red-teamer, prompt-injection-firewall, zero-trust-secret-vaultauthentication-identity-expert, compliance-gdpr-privacy-expertapi-design-expert, js-backend-expert, api-gateway-proxy-expertcloud-hosting-expert, cloudflare-workers-expertsaas-billing, doku-payment-gateway, payment-gateway-expertproduction-ready-hardener, brainstorming, zero-to-prod-orchestrator, session-memory-managerPanduan tingkat produksi untuk melindungi API dan aplikasi web dari penyalahgunaan, beban berlebih, dan serangan cyber. Mencakup algoritma rate limiting (Token Bucket, Sliding Window), Upstash Ratelimit (kompatibel edge), perlindungan bot (Cloudflare Turnstile), mitigasi DDoS, pencegahan brute-force login, manajemen API key & kuota penggunaan, serta format header respons standar (X-RateLimit, Retry-After).
Aktifkan skill ini ketika:
// lib/pembatas-laju.ts
import { Ratelimit } from '@upstash/ratelimit';
import { Redis } from '@upstash/redis';
const redis = Redis.fromEnv();
export const pembatasLaju = {
publik: new Ratelimit({
redis,
limiter: Ratelimit.slidingWindow(20, '10s'),
prefix: 'rl:publik',
}),
login: new Ratelimit({
redis,
limiter: Ratelimit.slidingWindow(5, '15m'), // Maks 5 percobaan per 15 menit
prefix: 'rl:login',
}),
};
// middleware.ts
import { NextResponse, type NextRequest } from 'next/server';
import { pembatasLaju } from '@/lib/pembatas-laju';
export async function middleware(request: NextRequest) {
if (request.nextUrl.pathname.startsWith('/api/')) {
const ip = request.headers.get('x-forwarded-for') ?? '127.0.0.1';
const isLogin = request.nextUrl.pathname.startsWith('/api/auth/login');
const limiter = isLogin ? pembatasLaju.login : pembatasLaju.publik;
const { success, limit, remaining, reset } = await limiter.limit(ip);
if (!success) {
return NextResponse.json(
{ error: 'Terlalu banyak permintaan. Silakan coba lagi nanti.' },
{
status: 429,
headers: {
'X-RateLimit-Limit': limit.toString(),
'X-RateLimit-Remaining': '0',
'X-RateLimit-Reset': reset.toString(),
'Retry-After': Math.ceil((reset - Date.now()) / 1000).toString(),
},
}
);
}
const response = NextResponse.next();
response.headers.set('X-RateLimit-Limit', limit.toString());
response.headers.set('X-RateLimit-Remaining', remaining.toString());
return response;
}
}
export async function verifikasiTurnstile(token: string, ipPengguna: string): Promise<boolean> {
const formData = new FormData();
formData.append('secret', process.env.TURNSTILE_SECRET_KEY!);
formData.append('response', token);
formData.append('remoteip', ipPengguna);
const res = await fetch('https://challenges.cloudflare.com/turnstile/v0/siteverify', {
method: 'POST',
body: formData,
});
const hasil = await res.json();
return hasil.success === true;
}
まだレビューはありません。使ってみた感想をお寄せください。
ログインなしで書き込めます。使ってみた感想、質問、動かなかった環境などを気軽にどうぞ。
まだコメントはありません。最初のコメントを書いてみませんか。
A2A agent protocol interoperability, Agent Cards, and MCP bridging / Protokol agen A2A, Agent Cards, dan integrasi MCP.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
日本語の概要は準備中です。原文の説明を表示しています。
Web accessibility testing with axe-core, Playwright, and WCAG 2.2 / Pengujian aksesibilitas web axe-core, Playwright, dan WCAG 2.2.
日本語の概要は準備中です。原文の説明を表示しています。
Model cascading & complexity-scored routing (Grok, Gemini, Claude) / Routing kaskade model & scoring kompleksitas (Grok, Gemini, Claude).
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for intelligent model cascading and routing — complexity-scored task routing from Flash/Haiku to Sonnet/Opus/Astra, dynamic escalation with quality gates, 40-60% token cost reduction while maintaining output quality / Panduan ahli untuk kaskade dan routing model cerdas — routing tugas berbasis skor kompleksitas dari Flash/Haiku ke Sonnet/Opus/Astra, eskalasi dinamis dengan gerbang kualitas, pengurangan biaya token 40-60% dengan kualitas output terjaga.
日本語の概要は準備中です。原文の説明を表示しています。
Affective computing, emotion AI, and multimodal sentiment analysis / Komputasi afektif, AI emosional, dan analisis sentimen multimodal.
日本語の概要は準備中です。原文の説明を表示しています。