race-conditions

Identify and analyze race condition vulnerabilities in source code for TOCTOU and shared-state issues.

3|Updated Apr 13, 2026

Search Tags:#concurrency #static-analysis #security-audit #race-conditions #toctou #race-condition-detection

Ready to run

npx skills add https://github.com/0x1337c0d3/claude-security --skill race-conditions-0x1337c0d3

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: race-conditions
Source: https://github.com/0x1337c0d3/claude-security/tree/main/skills/sentinel/skills/race-conditions
Command: npx skills add https://github.com/0x1337c0d3/claude-security --skill race-conditions-0x1337c0d3

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Race conditions in code can cause subtle, timing-dependent failures that are hard to reproduce in tests. This Skill identifies and analyzes concurrency issues such as TOCTOU, check-then-act pitfalls, and shared-state bugs that lead to data corruption or flaky behavior.

Core Features & Use Cases

High-risk pattern detection: highlights code areas prone to race conditions, TOCTOU, or unsynchronized access.
Scanner orchestration: coordinates static analysis checks and language-specific race detectors, aggregating findings.
Guided remediation: provides concrete fixes and safe-guard recommendations to mitigate concurrency vulnerabilities.

Quick Start

Analyze your codebase for race-condition patterns and generate a findings report.

Frequently Asked Questions about race-conditions

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

FAQPage Schema

How do I detect race conditions and TOCTOU vulnerabilities in my source code?▼

To detect race conditions and TOCTOU vulnerabilities, this Skill orchestrates static analysis checks and language-specific detectors to identify high-risk code areas with unsynchronized access. It aggregates these scanner findings to highlight timing-dependent failures across async boundaries.

What is the best way to audit a codebase for shared state bugs and concurrency issues?▼

Auditing for shared state bugs and concurrency issues involves a guided workflow: identifying high-risk files, running available scanners, and performing manual code analysis. This approach detects check-then-act pitfalls and generates a structured findings report.

How do I remediate TOCTOU and check-then-act pitfalls after finding them?▼

To remediate TOCTOU and check-then-act pitfalls, this Skill provides guided remediation by suggesting concrete fixes and safeguard recommendations. These mitigations directly address unsynchronized access and shared-state bugs that lead to data corruption.

Can I use static analysis to find flaky behavior caused by shared state across async boundaries?▼

Yes, static analysis can find flaky behavior caused by shared state across async boundaries. The Skill coordinates language-specific race detectors to highlight unsynchronized access and timing-dependent failures that are difficult to reproduce in standard tests.

Does race condition detection work without complex environment dependencies?▼

Race condition detection works without complex environment dependencies. The Skill operates with zero dependencies, analyzing source code directly to identify concurrency issues and format findings for integration without requiring external setup.

Why should I use automated concurrency analysis instead of manual code review for race conditions?▼

Automated concurrency analysis catches subtle timing-dependent failures that manual code review often misses. By orchestrating static analysis scanners, it effectively identifies high-risk TOCTOU patterns and unsynchronized access across large codebases to prevent data corruption.