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concurrency-race-condition-audit

Identify and mitigate concurrency vulnerabilities like TOCTOU and double-spend bugs.

1|1|Updated Mar 5, 2026
Search Tags:#concurrency#security audit#race condition#atomicity#idempotency#toctou
One-click install
npx skills add https://github.com/abhijeetkakade1234/skills --skill concurrency-race-condition-audit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: concurrency-race-condition-audit
Source: https://github.com/abhijeetkakade1234/skills/tree/main/security-audit-orchestrator/specialized/concurrency-race-condition-audit
Command: npx skills add https://github.com/abhijeetkakade1234/skills --skill concurrency-race-condition-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill identifies and provides remediation strategies for non-atomic operations that lead to critical security vulnerabilities like double-spending, lost updates, and data corruption in concurrent environments.

Core Features & Use Cases

  • Vulnerability Detection: Pinpoints check-then-act patterns, missing database transactions, and unsynchronized shared state.
  • Remediation Guidance: Provides industry-standard patterns for atomicity, including conditional updates, unique constraints, and optimistic locking.
  • Use Case: Use this during code reviews for payment gateways, inventory management systems, or quota-limited APIs to ensure that parallel requests do not bypass business logic invariants.

Quick Start

Analyze the provided source code for non-atomic check-then-act patterns and suggest atomic database-level fixes.

Frequently Asked Questions about concurrency-race-condition-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect race conditions and TOCTOU vulnerabilities in backend code?▼

Race conditions and TOCTOU vulnerabilities are detected by pinpointing non-atomic check-then-act patterns and unsynchronized shared mutable state in backend source code. This analysis targets parallel requests that bypass business logic invariants in high-concurrency environments.

What is the best way to prevent double-spend and lost update bugs in financial transactions?▼

Preventing double-spend and lost update bugs requires implementing atomic database operations, proper transaction isolation, and synchronization primitives. Remediation guidance includes applying industry-standard patterns like conditional updates, unique constraints, and optimistic locking to ensure data integrity.

How do I fix missing database transactions causing data corruption under high-concurrency load?▼

Fixing missing database transactions involves implementing atomic operations and proper transaction isolation to ensure data integrity under high-concurrency load. This remediation secures shared mutable state against data corruption from parallel processing.

Can I use this concurrency audit for quota-limited APIs and inventory management systems?▼

Yes, this concurrency audit applies to quota-limited APIs and inventory management systems. It analyzes source code to ensure parallel requests do not bypass business logic invariants, preventing double-spending and lost updates in these specific use cases.

Why does unsynchronized shared state lead to security vulnerabilities in concurrent environments?▼

Unsynchronized shared state leads to security vulnerabilities because it allows non-atomic operations to overlap, causing double-spending and data corruption. Identifying these check-then-act patterns is critical to mitigating concurrency-related security risks.

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