Log Analyzer
by @johnnywang2001
Analyze log files to detect error patterns, aggregate by severity, group repeated errors by fingerprint, and flag anomaly time windows. Use when asked to ana...
clawhub install jrv-log-analyzerπ About This Skill
name: jrv-log-analyzer description: Analyze log files to detect error patterns, aggregate by severity, group repeated errors by fingerprint, and flag anomaly time windows. Use when asked to analyze logs, find errors in log files, debug server issues from logs, summarize log output, or identify error spikes. Supports syslog, application logs, nginx/apache logs, and any text-based log format.
Log Analyzer
Analyze any text-based log file for error patterns, severity breakdown, and anomaly detection.
Quick Start
python3 scripts/analyze_logs.py
python3 scripts/analyze_logs.py app.log --top 20 --severity ERROR
python3 scripts/analyze_logs.py server.log --json --since "2026-03-01"
Features
--json for pipingOptions
| Flag | Description |
|------|-------------|
| --top N | Number of top error patterns (default: 15) |
| --severity LEVEL | Minimum severity filter (FATAL, ERROR, WARN, INFO, DEBUG) |
| --json | Output structured JSON |
| --since TIMESTAMP | Only analyze lines after this timestamp |
Workflow
1. Run the analyzer on the target log file
2. Review severity breakdown for overall health
3. Check top error patterns for recurring issues
4. Look at anomaly hours for incident windows
5. Use --json output to feed into other tools or reports
π‘ Examples
python3 scripts/analyze_logs.py
python3 scripts/analyze_logs.py app.log --top 20 --severity ERROR
python3 scripts/analyze_logs.py server.log --json --since "2026-03-01"
βοΈ Configuration
| Flag | Description |
|------|-------------|
| --top N | Number of top error patterns (default: 15) |
| --severity LEVEL | Minimum severity filter (FATAL, ERROR, WARN, INFO, DEBUG) |
| --json | Output structured JSON |
| --since TIMESTAMP | Only analyze lines after this timestamp |