kernel-io-uring-diagnosis

Diagnose Linux io_uring subsystem failures by correlating runtime evidence with kernel semantic constraints.

3|2|Updated Apr 24, 2026
One-click install
npx skills add https://github.com/openeuler-mirror/witty-diagnosis-agent --skill kernel-io-uring-diagnosis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kernel-io-uring-diagnosis
Source: https://github.com/openeuler-mirror/witty-diagnosis-agent/tree/main/skills/kernel-io-uring-diagnosis
Command: npx skills add https://github.com/openeuler-mirror/witty-diagnosis-agent --skill kernel-io-uring-diagnosis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill resolves complex performance and stability issues within the Linux io_uring asynchronous I/O subsystem, such as unexpected errno returns, completion latency, and resource exhaustion.

Core Features & Use Cases

  • Parallel Analysis: Simultaneously executes running evidence collection and kernel semantic verification to ensure root cause accuracy.
  • Automated Branching: Provides specialized diagnostic paths for resource limits, ring capacity, worker thread blockage, and O_DIRECT alignment.
  • Use Case: When an application experiences intermittent ENOMEM or EINVAL errors during io_uring_register, this skill identifies whether the root cause is a memlock limit, cgroup constraint, or kernel feature incompatibility.

Quick Start

Run the io_uring diagnosis script by providing the target process ID and log file path to the diagnostic tool.

Frequently Asked Questions about kernel-io-uring-diagnosis

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

FAQPage Schema
Why does my Linux io_uring application return intermittent ENOMEM or EINVAL errors during registration?

Diagnosing io_uring submission and completion path anomalies involves correlating runtime evidence with kernel semantic constraints. This skill provides specialized diagnostic paths to identify issues like worker thread blockage, ring capacity limits, and O_DIRECT alignment problems in high-performance I/O applications.

How do I troubleshoot io_uring completion latency and unexpected errno returns without impacting production?

You can run the io_uring diagnosis script by providing the target process ID and log file path. It performs non-intrusive, read-only system state collection, allowing you to safely troubleshoot completion latency and unexpected errno returns without impacting production workloads.

Does this io_uring diagnosis approach require modifying the kernel or application source code?

No, this io_uring diagnosis approach does not require modifying the kernel or application source code. It satisfies requirements for non-intrusive, read-only system state collection, executing parallel analysis to verify kernel semantic constraints against running evidence without altering the target environment.

What is the best way to identify root causes for io_uring ring capacity and resource limit exhaustion?

The best way to identify root causes for io_uring ring capacity and resource limit exhaustion is using automated branching diagnostics. This approach simultaneously executes running evidence collection and kernel semantic verification to ensure root cause accuracy for high-performance I/O application failures.

Can I use this diagnostic method for O_DIRECT alignment issues in asynchronous I/O subsystems?

Yes, you can use this diagnostic method for O_DIRECT alignment issues in asynchronous I/O subsystems. It provides specialized diagnostic paths for O_DIRECT alignment, alongside resource limits, ring capacity, and worker thread blockage, ensuring accurate root cause analysis.