Analyze application logs to identify errors, exceptions, and frequency patterns.
npx skills add https://github.com/ntygod/ZhiWei --skill log-analyzer-ntygod
Please help me install this Agent Skill. Skill: log-analyzer Source: https://github.com/ntygod/ZhiWei/tree/main/src/main/resources/skills/log-analyzer Command: npx skills add https://github.com/ntygod/ZhiWei --skill log-analyzer-ntygod
This Skill helps users analyze application logs to identify errors, exceptions, and patterns in log data, enabling faster incident investigation and trends discovery while ensuring sensitive information is redacted in reports.
Run the provided log-redact.py script to process a log file and output a desensitized report.
High-intent search queries and answers about installing and using this skill.
To analyze application logs for errors and exceptions, you can run workflows that scan log sources to surface anomalous events and extract key failures for incident investigation. This process uses deterministic scripts to read files and process data.
The best way to detect high-frequency error patterns is to scan multiple log sources to extract anomalous events and count failures across time windows. This enables faster trend reporting and incident investigation.
Log desensitization works by redacting sensitive fields in log data before generating a report. Running a dedicated script processes the log file and outputs a desensitized version, ensuring data privacy during sharing.
Yes, you can scan remote log sources for stack traces and failures. The analysis applies to debugging and incident investigation across both local and remote log sources using shell execution and file reading capabilities.
You need to run the provided scripts to extract startup and shutdown events from logs. These scripts implement deterministic workflows that identify key events and surface errors for trend reporting.
A limitation of using shell_exec for log analysis is that it requires appropriate execution permissions and environments to read files and run scripts. It operates deterministically, so complex non-text logs may require preprocessing.
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