race-conditions

Orchestrate concurrent requests to identify and validate race conditions.

18|3|Updated Apr 16, 2026
One-click install
npx skills add https://github.com/kalpmodi/akira --skill race-conditions-kalpmodi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: race-conditions
Source: https://github.com/kalpmodi/akira/tree/main/skills/race-conditions
Command: npx skills add https://github.com/kalpmodi/akira --skill race-conditions-kalpmodi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Race conditions and timing-based flaws are often invisible to static analysis and traditional scanners, yet they can lead to data corruption, financial loss, and access bypass if not detected and mitigated.

Core Features & Use Cases

  • Detects concurrency issues by orchestrating parallel requests
  • Provides evidence-ready results (logs, timing gaps, and reproduction steps)
  • Use Case: assess a payment gateway or token reset flow for TOCTOU or double-spend vulnerabilities.

Quick Start

Run a targeted race-condition test against a target endpoint using the provided script to observe parallel request behavior.

Frequently Asked Questions about race-conditions

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

FAQPage Schema
How do I test for race conditions in web applications?

Testing for race conditions involves orchestrating parallel concurrent requests against target endpoints to expose concurrency issues. It captures evidence-ready results including logs, timing gaps, and reproduction steps to validate timing-based flaws.

What is a TOCTOU vulnerability and how do I reproduce it?

A TOCTOU vulnerability is a time-of-check to time-of-use timing flaw. You reproduce it by orchestrating concurrent requests to target endpoints like token reset flows or payment gateways, capturing timing gaps and observable outcomes as validation evidence.

Can I use this to detect double-spend vulnerabilities in a payment gateway?

Yes, you can assess a payment gateway for double-spend vulnerabilities by orchestrating parallel requests to the endpoint. The test provides precise steps, checks, observable outcomes, and evidence capture needed to reproduce the concurrency condition.

Why are race conditions invisible to traditional security scanners?

Race conditions are invisible to traditional security scanners and static analysis because they depend on dynamic timing and concurrency, not static code paths. Orchestrating parallel requests is required to expose these timing-based flaws and capture validation evidence.

What's the best way to pentest rate-limiting gaps in APIs?

The best way to pentest rate-limiting gaps in APIs is to orchestrate concurrent requests to the target endpoint. This method identifies concurrency issues, validates rate-limiting gaps, and generates evidence-ready logs and reproduction steps.

Does this approach work for finding limited-quantity purchase flaws?

Yes, this approach works for finding limited-quantity purchase flaws by orchestrating concurrent requests to the target endpoint. It validates the race condition by specifying precise steps and capturing observable outcomes and evidence of the concurrency issue.