Api rate limiting

Skill ComeOnOliver/skillshub/skills/secondsky/claude-skills/api-rate-limiting

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Install

npx -y skills add ComeOnOliver/skillshub --skill api-rate-limiting

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What its author says it does

Copied from the file, not written here

Implements API rate limiting using token bucket, sliding window, and Redis-based algorithms to protect against abuse. Use when securing public APIs, implementing tiered access, or preventing denial-of-service attacks.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

1.9 KB, as published. Nobody here has run it

API Rate Limiting

Protect APIs from abuse using rate limiting algorithms with per-user and per-endpoint strategies.

Algorithms

Algorithm	Pros	Cons
Token Bucket	Handles bursts, smooth	Memory per user
Sliding Window	Accurate	Memory intensive
Fixed Window	Simple	Boundary spikes

Token Bucket (Node.js)

class TokenBucket {
  constructor(capacity, refillRate) {
    this.capacity = capacity;
    this.tokens = capacity;
    this.refillRate = refillRate; // tokens per second
    this.lastRefill = Date.now();
  }

  consume() {
    this.refill();
    if (this.tokens >= 1) {
      this.tokens--;
      return true;
    }
    return false;
  }

  refill() {
    const now = Date.now();
    const elapsed = (now - this.lastRefill) / 1000;
    this.tokens = Math.min(this.capacity, this.tokens + elapsed * this.refillRate);
    this.lastRefill = now;
  }
}

Express Middleware

const rateLimit = require('express-rate-limit');

const limiter = rateLimit({
  windowMs: 15 * 60 * 1000, // 15 minutes
  max: 100,
  standardHeaders: true,
  message: { error: 'Too many requests, try again later' }
});

app.use('/api/', limiter);

Response Headers

X-RateLimit-Limit: 100
X-RateLimit-Remaining: 45
X-RateLimit-Reset: 1705320000
Retry-After: 60

Tiered Limits

Tier	Requests/Hour
Free	100
Pro	1,000
Enterprise	10,000

Best Practices

Use Redis for distributed rate limiting
Include proper headers in responses
Return 429 status with Retry-After
Implement tiered limits for different plans
Monitor rate limit metrics
Test under load