How does this skill help with kernel panics?

It uses predefined grep patterns and specialized scripts to isolate PANIC, DOUBLE FAULT, or PAGE FAULT strings along with surrounding context to identify the code path leading to the crash.

Can I trace specific subsystems like memory or scheduling?

Yes, the skill includes specific search patterns for subsystems including memory management, process scheduling, interrupts (IDT), and timers.

What is the benefit of using the find-in-logs script over standard grep?

The find-in-logs script automates the selection of the most recent log files and allows for complex, multi-line search queries without requiring manual file path management.

Does it work with automated test outputs?

Yes, it is designed to integrate with CI failure analysis tools to parse logs generated during automated test runs, specifically looking for the KERNEL_POST_TESTS_COMPLETE signal.

Where are the Breenix logs located?

Logs are stored in the logs/ directory with a timestamped naming convention: breenix_YYYYMMDD_HHMMSS.log.

Breenix Kernel Log Analysis

Name: Breenix Kernel Log Analysis
Author: ryanbreen

byryanbreen

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Analytics & Monitoring

Analyzes Breenix kernel logs to debug system panics, trace execution flows, and verify test completions using specialized search patterns.

This skill provides a specialized framework for interacting with Breenix kernel logs, enabling developers to efficiently navigate timestamped diagnostic data. It facilitates the identification of critical kernel events such as double faults, page faults, and system panics while providing structured patterns for tracing subsystem initialization and userspace execution. By leveraging both direct grep commands and custom search scripts, it streamlines the debugging process for OS developers working within the Breenix environment, helping to isolate the root cause of failures within complex kernel-level operations.

Key Features

01Automated search patterns for kernel panics, page faults, and double faults

02Context-aware log searching via the find-in-logs diagnostic script

03Execution flow analysis for boot sequences and system call monitoring

044 GitHub stars

05Subsystem-specific tracing for memory, process management, and interrupts

06Checkpoint signal extraction for verifying test and initialization milestones

Use Cases

01Debugging kernel-level failures by isolating faults and panics with surrounding execution context

02Verifying kernel boot sequences and subsystem initialization during OS development

03Analyzing userspace interaction and system call behavior through logs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ryanbreen/breenix breenix-log-analysis

For use in Claude.ai and ChatGPT

Download Skill