App Log Analyzer

What This Skill Does

The App Log Analyzer is a robust diagnostic utility designed to parse, analyze, and summarize raw text-based application logs. Instead of manually scanning thousands of lines of terminal output, users can leverage this skill to identify error patterns, frequency counts, and anomalies. It works by utilizing standard Linux utilities like grep, awk, sed, and jq to extract meaningful intelligence from logs, providing a structured markdown report that includes error distributions, top error occurrences, and time-based issue timelines. This skill is essential for debugging microservices, troubleshooting server issues, or monitoring system health in real-time.

Installation

You can install the App Log Analyzer directly from the OpenClaw repository using the following command in your terminal: clawhub install openclaw/skills/skills/sa9saq/app-log-analyzer

Use Cases

• Production Troubleshooting: Rapidly identify why a service is failing by grouping similar error messages.
• Performance Auditing: Analyzing log spikes to determine if system timeouts correlate with traffic surges.
• Structured Log Parsing: Parsing JSON logs generated by modern frameworks (e.g., Node.js, Python, Go) using the built-in jq integration.
• Health Monitoring: Generating a quick "state of the system" report for daily maintenance checks.

Example Prompts

1. "Analyze /var/log/nginx/error.log and give me a report on the top 10 error messages I've seen in the last hour."
2. "I'm seeing high latency in my docker container. Run a log analysis on my application container and tell me if there are any database connection timeouts."
3. "Summarize the recent error logs for my service, focusing on finding spikes in frequency over the last 24 hours."

Tips & Limitations

• Large Files: If you are working with logs larger than 100MB, avoid loading the entire file. Use the skill to target the last 10,000 lines or use time-based filters to maintain performance.
• Permissions: Ensure your OpenClaw agent has the necessary file system permissions to read the specific log directories (e.g., /var/log).
• Log Formats: While the skill handles standard text and JSON logs natively, custom proprietary formats might require specific regex patterns passed via your prompt to ensure accurate parsing.
• Real-time Monitoring: For live debugging, pair the analysis commands with tail -f to watch logs as they come in.