business-logic-flaws-ai-generated-code
CommunityDetect and fix hidden security flaws in AI-generated code.
Software Engineering#security#race conditions#vulnerability detection#business logic#AI code review#concurrent access#integer overflow
Authorharperaa
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill identifies subtle business logic vulnerabilities in AI-generated code that pass all functional tests but create critical security holes, preventing costly overselling, financial losses, and reputation damage.
Core Features & Use Cases
- Race Condition Detection: Spot concurrent access flaws in flash sales, financial transactions, and inventory systems.
- Integer Overflow Prevention: Catch calculation errors with large numbers and edge cases.
- Business Logic Validation: Ensure negative totals, excessive discounts, and malicious inputs are properly handled.
- Use Case: Imagine your AI generated a flash sale system. Use this Skill to identify that 100 concurrent requests could oversell your 100-unit inventory by 200+ items, costing thousands in losses.
Quick Start
Analyze this code snippet for business logic vulnerabilities and race conditions that could allow overselling in a flash sale scenario.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: business-logic-flaws-ai-generated-code Download link: https://github.com/harperaa/secure-claude-skills/archive/main.zip#business-logic-flaws Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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