Agent skill
log-cleanup-report
Analyze log file sizes and signal-to-noise ratio. Shows what's consuming disk space and recommends cleanup actions. Use before archiving or when logs are getting too large.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/log-cleanup-report
SKILL.md
Log Cleanup Report
Analyze IQRight log files to understand disk usage and identify optimization opportunities.
Step 1: Log File Inventory
Check all log locations:
logs/IQRight_Daemon.debug*(server logs)logs/IQRight_FE_WEB.debug*(web app logs)log/device_status.log(device health, note: different directory)
For each, report: file name, size, line count.
Step 2: Date Ranges
Extract first and last timestamps from each log file to understand the time span covered.
Step 3: Signal-to-Noise Analysis
Count in the server log:
- Noise:
No packet receivedlines (idle timeouts) - Signal:
Received data from scanner,MQTT-TX,ERROR,HELLO,Connected,Disconnected,SWITCHING TO
Calculate:
- Signal percentage: (signal lines / total) * 100
- Noise percentage: (noise lines / total) * 100
- Signal-to-noise ratio
Adaptive Logging Check
If the log contains SWITCHING TO ACTIVE MODE or Server started in IDLE mode, the adaptive logging (Feb 2026) is active. In this case, noise should be minimal.
If the log contains massive amounts of No packet received (timeout), the server is running pre-Feb 2026 code and should be upgraded.
Step 4: Recommendations
Based on findings:
If timeout lines > 50% of total:
- Server needs adaptive logging upgrade (reduces logs by 90%+)
- Current idle mode: logs every timeout vs new: logs once per 5 min
If total log size > 200MB:
- Archive rotated logs older than 1 week
- Consider gzip compression for
.debug.MMDDYYfiles - Check
MAX_LOG_SIZEandBACKUP_COUNTin config
If signal-to-noise < 1:100:
- Most of the log is wasted disk space
- Adaptive logging is the primary fix
- Secondary: raise log level from DEBUG to INFO for idle periods
General maintenance:
- Rotated logs (
.debug.MMDDYY) can be compressed or deleted after analysis - Device status logs are small and can be kept longer
- Web app logs follow same rotation as server logs
Output Format
=== LOG CLEANUP REPORT ===
Files:
{filename} {size} {lines} {date range}
...
Total: {size} {lines}
Signal-to-Noise:
Signal lines: {N} ({pct}%)
Noise lines: {N} ({pct}%)
Ratio: 1:{N}
Adaptive Logging: ACTIVE / NOT DETECTED
Recommendations:
1. ...
2. ...
Estimated savings: {N} MB
Reference: See docs/LOG_ANALYSIS_SKILLS.md section 1 for log structure and adaptive logging details.
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