Resource Exhaustion Security

About

This skill provides critical security guidance to prevent denial-of-service (DoS) attacks and unexpected cost spikes often found in AI-generated code. It helps developers move beyond 'vibe coding' by identifying common vulnerabilities like unbounded loops, missing rate limits, and uncontrolled memory consumption. By offering production-grade implementation patterns for request queuing, input validation, and pagination, the skill ensures that applications remain resilient against malicious stress tests and protected from the high financial costs associated with uncontrolled AI API consumption.

Key Features

• Guidance for preventing API cost explosion in AI integrations
• Implementation of rate limiting and request size constraints
• Secure image processing and file upload resource management
• Detection of unbounded loops and recursion depth anti-patterns
• Database query optimization through mandatory pagination and limits
• 1 GitHub stars

Use Cases

• Hardening public-facing API endpoints against resource-draining attacks
• Preventing catastrophic cloud billing spikes caused by unmonitored AI model calls
• Optimizing memory and CPU usage for high-concurrency processing tasks