Individual skill
implementing-api-abuse-detection-with-rate-limiting
Implements API abuse detection using token bucket, sliding window, and fixed window rate-limiting algorithms backed by Redis, including adaptive limits that tighten during detected attacks and relax during normal traffic. Use when defending APIs against DDoS, brute force login attempts, credential stuffing, or scraping abuse and you need to design or tune rate-limiting logic.
skills/implementing-api-abuse-detection-with-rate-limiting/SKILL.md
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- Last checked
- Nov 9, 2026
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- Aug 31, 2026
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- Apache-2.0
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- ai-agents Repository topic
- claude-code Repository topic
- cybersecurity Repository topic
- incident-response Repository topic
- mitre-attack Repository topic
- penetration-testing Repository topic
- red-team Repository topic
- security Repository topic
- cloud-security Repository topic
- malware-analysis Repository topic
- api-security Declared skill tag
- rate-limiting Declared skill tag
- token-bucket Declared skill tag
- sliding-window Declared skill tag
- ddos-protection Declared skill tag
- brute-force-prevention Declared skill tag
- api-abuse Declared skill tag
- api-gateway Declared skill tag
- design Derived category
- security Derived category
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LICENSEasset · 11,255 bytesSKILL.mdcore · 13,412 bytesreferences/api-reference.mddoc · 2,007 bytesscripts/agent.pyruns · 7,070 bytes
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# Implementing API Abuse Detection with Rate Limiting
## Overview
API rate limiting is a critical security control that restricts the number of requests a client can make within a defined time period. It defends against denial-of-service (DDoS), brute force login attempts, credential stuffing, API scraping, and resource exhaustion attacks. Modern implementations use algorithms like token bucket, sliding window, and fixed window counters, often backed by distributed stores like Redis. Adaptive rate limiting dynamically tightens limits during detected attacks and relaxes during normal operation, achieving a 94% reduction in successful DDoS attempts compared to static IP-based approaches.
## When to Use
- When deploying or configuring implementing api abuse detection with rate limiting capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
