How does it handle expected network noise or duplicates?

The skill classifies expected events, such as duplicate packet discards or looped packet discards, as INFO level to prevent them from cluttering critical reports.

Can it identify specific LoRa communication issues?

Yes, it detects specific LoRa failures including transceiver attribute bugs, data send failures, and malformed packet structures.

Which log files does this skill analyze?

This skill specifically analyzes the logs/IQRight_Daemon.debug file and any rotated versions of that log to identify system errors.

Does it provide solutions for the errors it finds?

Yes, the skill generates a summary report that includes actionable recommendations for every critical and warning-level error identified.

Server Log Error Reporter

Name: Server Log Error Reporter
Author: fulviomanente

byfulviomanente

0•

分析与监控

Generates categorized error summaries from server logs to identify system failures, frequency, and actionable troubleshooting steps.

The Error Report skill automates the diagnostic process for IQRight server environments by scanning logs for critical failure patterns across LoRa, MQTT, API, and Data modules. It provides a structured health report that classifies issues by severity—distinguishing between system-blocking bugs and expected network noise—while offering actionable recommendations based on known error patterns. This is an essential utility for developers troubleshooting Raspberry Pi-based server/scanner deployments or performing stability checks before a production release.

主要功能

010 GitHub stars

02Categorizes errors into specific modules like LoRa, API, MQTT, and Data integrity

03Calculates error frequency and log percentage to prioritize high-impact issues

04Provides actionable troubleshooting recommendations based on documented patterns

05Classifies issues by severity levels: Critical, Warning, and Info

06Identifies known software bugs such as missing object attributes or method naming errors

使用场景

01Monitoring API and MQTT connectivity reliability in IoT environments

02Conducting pre-flight system checks before a live deployment to ensure stability

03Diagnosing communication failures between Raspberry Pi servers and LoRa scanners

主要功能

010 GitHub stars

02Categorizes errors into specific modules like LoRa, API, MQTT, and Data integrity

03Calculates error frequency and log percentage to prioritize high-impact issues

04Provides actionable troubleshooting recommendations based on documented patterns

05Classifies issues by severity levels: Critical, Warning, and Info

06Identifies known software bugs such as missing object attributes or method naming errors

使用场景

01Monitoring API and MQTT connectivity reliability in IoT environments

02Conducting pre-flight system checks before a live deployment to ensure stability

03Diagnosing communication failures between Raspberry Pi servers and LoRa scanners