rate-limiting

rate-limiting is a skill for Claude Code, Codex from porcupine-md/jonggrang. It costs 28 tokens per session (874 once invoked), scanned A, original, MIT.

A set of patterns for limiting how often an API can be called within a period of time. Limits can be applied per IP address, user, or route, such as a login or payment endpoint.

In plain words
What is it for?
Use it when adding request limits to an API, especially with Express or a framework-independent setup. It covers limits for anonymous users, signed-in users, and specific routes, including Redis-backed storage.
Why use it?
It helps prevent brute-force attacks and stops one client from consuming too many shared resources. It also lets sensitive endpoints use stricter limits than general API routes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when adding request limits to an API, especially with Express or a framework-independent setup. It covers limits for anonymous users, signed-in users, and specific routes, including Redis-backed storage.

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Install with agentmods
npx agentmods add skills/porcupine-md/jonggrang/rate-limiting
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.

Any agent
npx skills add porcupine-md/jonggrang --skill rate-limiting
Clone the repo
git clone --depth 1 https://github.com/porcupine-md/jonggrang

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for rate-limiting

README.md
[![agentmods](https://agentmods.dev/badge/skills/porcupine-md/jonggrang/rate-limiting/github.svg)](https://agentmods.dev/skills/porcupine-md/jonggrang/rate-limiting)
Your own site
<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/rate-limiting"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/rate-limiting/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.

agentmods 80×15 button for rate-limiting

Your own site · 80×15
<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/rate-limiting"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/rate-limiting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 874 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00028 $0.00874
Opus 5 $0.00014 $0.00437
Sonnet 5 $0.00006 $0.00175
Haiku 4.5 $0.00003 $0.00087

Measured 9d ago against content hash 10b265103e03, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

rate-limiting 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 9d 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.

skills/library/security/rate-limiting/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Rate Limiting Strategies

Per-IP (unauthenticated endpoints)

Protects login, registration, password-reset from brute force.

Per-User (authenticated endpoints)

Fair use — prevents a single user from hammering your API.

Per-Route (sensitive endpoints)

Extra tight limits on auth, payment, export endpoints.

Express Implementation (express-rate-limit)

import rateLimit from 'express-rate-limit';
import { Redis } from 'ioredis';
import { RedisStore } from 'rate-limit-redis';

const redis = new Redis(process.env.REDIS_URL);

// General API rate limit
export const apiLimiter = rateLimit({
  windowMs: 15 * 60 * 1000,  // 15 minutes
  max: 100,                    // 100 requests per window
  standardHeaders: true,       // Return rate limit info in RateLimit-* headers
  legacyHeaders: false,
  store: new RedisStore({ sendCommand: (...args) => redis.call(...args) }),
  handler: (req, res) => {
    res.status(429).json({
      error: {
        code: 'RATE_LIMIT_EXCEEDED',
        message: 'Too many requests. Please try again later.',
        retryAfter: Math.ceil(req.rateLimit.resetTime / 1000),
      },
    });
  },
});

// Strict limit for auth endpoints
export const authLimiter = rateLimit({
  windowMs: 15 * 60 * 1000,
  max: 5,                      // 5 login attempts per 15 minutes
  skipSuccessfulRequests: true, // don't count successful logins
  store: new RedisStore({ sendCommand: (...args) => redis.call(...args) }),
  keyGenerator: (req) => `auth:${req.ip}:${req.body?.email || ''}`,
});

// Usage
app.use('/api', apiLimiter);
app.post('/api/auth/login', authLimiter, loginHandler);

Per-User Limit (After Authentication)

export const perUserLimiter = rateLimit({
  windowMs: 60 * 1000,    // 1 minute
  max: 60,                 // 60 requests per minute per user
  keyGenerator: (req) => `user:${req.user?.id || req.ip}`,
});

app.use('/api', authenticate, perUserLimiter);

Sliding Window with Redis (Manual)

async function isRateLimited(key: string, limit: number, windowSeconds: number): Promise<boolean> {
  const now = Date.now();
  const windowStart = now - windowSeconds * 1000;

  const pipeline = redis.pipeline();
  pipeline.zremrangebyscore(key, 0, windowStart);        // remove old entries
  pipeline.zadd(key, now, `${now}`);                     // add current request
  pipeline.zcard(key);                                    // count in window
  pipeline.expire(key, windowSeconds);                   // auto-cleanup

  const results = await pipeline.exec();
  const count = results![2][1] as number;
  return count > limit;
}

Read the full file on GitHub · 114 lines

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. 9d ago First seen · 114 lines · 28 tokens per session scan A 10b265103e03

Subscribe to this mod's changes

rate-limiting is a skill published in the GitHub repository porcupine-md/jonggrang (11 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 874 once invoked, about $0.0001 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 2026-08-30.

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