Agent skill
rate-limiting-abuse-protection
Implements rate limiting and abuse prevention with per-route policies, IP/user-based limits, sliding windows, safe error responses, and observability. Use when adding "rate limiting", "API protection", "abuse prevention", or "DDoS protection".
Stars
163
Forks
31
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/devops/rate-limiting-abuse-protection
SKILL.md
Rate Limiting & Abuse Protection
Protect APIs from abuse with intelligent rate limiting.
Rate Limit Strategies
Fixed Window: 100 requests per hour Sliding Window: More accurate, prevents bursts Token Bucket: Allow bursts up to limit Leaky Bucket: Smooth request rate
Implementation (Express)
typescript
import rateLimit from "express-rate-limit";
// Global rate limit
const globalLimiter = rateLimit({
windowMs: 15 * 60 * 1000, // 15 minutes
max: 100, // 100 requests per window
message: "Too many requests, please try again later",
standardHeaders: true, // Return rate limit info in headers
legacyHeaders: false,
});
// Stricter limit for auth endpoints
const authLimiter = rateLimit({
windowMs: 15 * 60 * 1000,
max: 5, // Only 5 attempts
skipSuccessfulRequests: true, // Don't count successful logins
});
app.use("/api/", globalLimiter);
app.use("/api/auth/login", authLimiter);
Redis-based Rate Limiting
typescript
import Redis from "ioredis";
const redis = new Redis();
export const checkRateLimit = async (
key: string,
max: number,
window: number
): Promise<{ allowed: boolean; remaining: number }> => {
const now = Date.now();
const windowStart = now - window;
await redis
.multi()
.zremrangebyscore(key, 0, windowStart)
.zadd(key, now, `${now}`)
.zcard(key)
.expire(key, Math.ceil(window / 1000))
.exec();
const count = await redis.zcard(key);
return {
allowed: count <= max,
remaining: Math.max(0, max - count),
};
};
Per-User Rate Limiting
typescript
export const userRateLimit = (max: number, window: number) => {
return async (req, res, next) => {
if (!req.user) return next();
const key = `rate_limit:user:${req.user.id}`;
const result = await checkRateLimit(key, max, window);
res.setHeader("X-RateLimit-Limit", max);
res.setHeader("X-RateLimit-Remaining", result.remaining);
if (!result.allowed) {
return res.status(429).json({
error: "Rate limit exceeded",
retryAfter: window / 1000,
});
}
next();
};
};
IP-based Protection
typescript
// Block suspicious IPs
const ipBlocklist = new Set<string>();
export const checkIPReputation = async (ip: string): Promise<boolean> => {
if (ipBlocklist.has(ip)) return false;
// Check against threat intelligence API
const reputation = await checkThreatIntel(ip);
if (reputation.isMalicious) {
ipBlocklist.add(ip);
return false;
}
return true;
};
Response Headers
X-RateLimit-Limit: 100
X-RateLimit-Remaining: 95
X-RateLimit-Reset: 1640000000
Retry-After: 3600
Best Practices
- Different limits for different endpoints
- Lower limits for expensive operations
- Skip rate limit for internal services
- Return helpful error messages
- Log rate limit violations
- Monitor for abuse patterns
- Allowlist trusted IPs
Output Checklist
- Rate limiter middleware
- Per-route policies
- User-based limiting
- IP-based limiting
- Rate limit headers
- Safe error responses
- Observability/logging
- Bypass for internal services
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