race-condition

Detect and prevent TOCTOU and race conditions in code paths.

20|Updated Feb 27, 2026
One-click install
npx skills add https://github.com/thejefflarson/soundcheck --skill race-condition-thejefflarson
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: race-condition
Source: https://github.com/thejefflarson/soundcheck/tree/main/.claude/skills/race-condition
Command: npx skills add https://github.com/thejefflarson/soundcheck --skill race-condition-thejefflarson

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Protects against time-of-check-to-time-of-use (TOCTOU) and other race conditions where concurrent access to shared state creates a window for attackers to manipulate data between a check and its corresponding action. Exploitation leads to privilege escalation, double-spend, and data corruption.

Core Features & Use Cases

  • Detects and prevents check-then-act patterns in code paths that access shared resources.
  • Promotes atomic updates, proper locking, and database-level guards to close race windows.
  • Use cases include file renames, balance updates, and record creation where duplication or leakage could occur.

Quick Start

Review your codebase for check-then-act patterns and replace them with atomic operations or proper locking to eliminate TOCTOU risk.

Frequently Asked Questions about race-condition

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

FAQPage Schema
What is a TOCTOU race condition and how does it impact shared state?

A TOCTOU race condition occurs when concurrent access to shared state creates a window for data manipulation between a check and its action, leading to privilege escalation, double-spend, or data corruption.

How do I prevent race conditions in multi-threaded code paths?

Prevent race conditions in multi-threaded code by replacing check-then-act patterns with atomic state checks, atomic updates, and proper locking strategies to close the concurrency window.

How do I enforce atomic updates for database interactions and file operations?

Enforce atomic updates for database interactions and file operations by applying database-level guards and atomic state updates, ensuring existence checks and modifications happen without interruption.

What is the best way to fix check-then-act patterns causing double-spend vulnerabilities?

The best way to fix check-then-act double-spend vulnerabilities is to eliminate the gap between validation and modification using proper locking and atomic updates for shared resources.

Does this approach work for multi-process record creation and file renames?

Yes, this approach works for multi-process record creation and file renames by applying guardrails against race-induced data corruption and enforcing atomic state checks across concurrent operations.