concurrency-verifier

Verify concurrent programs for data races, deadlocks, and correctness issues.

17|2|Updated Feb 16, 2026
One-click install
npx skills add https://github.com/rainoftime/pl-skills --skill concurrency-verifier
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: concurrency-verifier
Source: https://github.com/rainoftime/pl-skills/tree/main/concurrency-verifier
Command: npx skills add https://github.com/rainoftime/pl-skills --skill concurrency-verifier

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires hoare-logic-verifier, separation-logician, model-checker, and includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill addresses the critical need to ensure that concurrent and parallel programs are free from common but hard-to-detect bugs like data races and deadlocks, which can lead to system instability and incorrect behavior.

Core Features & Use Cases

  • Data Race Detection: Identifies potential race conditions arising from unsynchronized access to shared memory.
  • Deadlock Analysis: Detects circular dependencies in resource acquisition that can halt program execution.
  • Lock Protocol Verification: Ensures that locks are acquired and released according to established safety protocols.
  • Use Case: A developer working on a multi-threaded web server can use this Skill to verify that concurrent requests accessing shared user session data do not introduce data races or lead to deadlocks under heavy load.

Quick Start

Use the concurrency verifier to check the provided Rust code for potential data races and deadlocks.

Frequently Asked Questions about concurrency-verifier

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

FAQPage Schema
How do I detect data races and deadlocks in multi-threaded programs?

You can detect data races and deadlocks by verifying concurrent and parallel programs using model checking. This approach analyzes lock protocols, memory models, and liveness properties to identify unsynchronized shared memory access and circular resource dependencies.

What is lock protocol verification and when do I need it for concurrent systems?

Lock protocol verification ensures that locks are acquired and released according to established safety protocols within concurrent systems. You need it for multi-threaded applications to prevent system instability and incorrect behavior caused by uncoordinated resource access.

Can I use model checking to verify low-level concurrency primitives?

Yes, model checking is applicable for verifying low-level concurrency primitives. The verification process analyzes memory models and liveness properties across multi-threaded systems and distributed applications to confirm safe parallel execution.

Does this concurrency verification approach work with distributed applications?

Yes, concurrency verification is explicitly applicable to distributed applications. It analyzes liveness properties and lock protocols to satisfy requirements for robust parallel execution across multi-threaded systems and low-level concurrency primitives.

Why does my parallel program halt execution under heavy load despite using locks?

Parallel programs halt under heavy load due to deadlocks, which are circular dependencies in resource acquisition. Analyzing lock protocols and memory models identifies these circular waits to restore robust parallel execution.