system-health-check
Skill3 starsChanged 12 months agoMITView on GitHub
Version: 1.0.0 Category: System Administration / Performance Optimization Author: Claude Code Last Updated: November 22, 2025 Automated system health monitoring and cleanup workflow. Diagnoses performance issues, identifies resource bottlenecks, fixes orphaned services, kills stale processes, and cleans cache bloat. Designed for archimedes (32c/125GB) but works on any Linux system. Output: Comprehensive diagnosis showing: - Memory/disk/CPU status - Top resource consumers - Failed services - Cache sizes - Recommendations Output: - Disables crashing services - Kills processes >15 min old -…
In this repository11 other files it gives its agents.
- forecasting-agentSkill
- kymera-integratorSkill
- kymera-mr-optimizerSkill
- kymera-portfolio-checkerSkill
- kymera-risk-monitorSkill
- kymera-tax-optimizerSkill
- paper-reviewerSkill
- portfolio-analysis-agentSkill
- SKILL.mdSkill
- trading-analysisSkill
- youtube-transcriberSkill
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 4 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 44
Before/after disk space comparison
- Distinctive: line 113
diagnosis-only: Check health without changes
- Distinctive: line 125
Only kills claude/python processes (safe)
- Distinctive: line 153
Not in use by active terminal
- Very specific: line 312
Run /system-health --verbose to diagnose
- Very specific: line 313
Check ~/.local/log/system-health.log for full output
- Very specific: line 314
Verify sudo configuration: sudo -v
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
System Health Check & Cleanup Skill
Version: 1.0.0 Category: System Administration / Performance Optimization Author: Claude Code Last Updated: November 22, 2025
Overview
Automated system health monitoring and cleanup workflow. Diagnoses performance issues, identifies resource bottlenecks, fixes orphaned services, kills stale processes, and cleans cache bloat. Designed for archimedes (32c/125GB) but works on any Linux system.
Features
1. System Diagnostics
- Memory usage (free, used, buffers, cache)
- Disk usage (mounted filesystems)
- CPU load average and core count
- Process analysis (top CPU/memory consumers)
- Service health (running, failed, crashed)
- Systemd journal errors
2. Issue Detection
- Crash loops: Services repeatedly failing to start
- Orphaned services: Missing directories/executables
- Process age: Long-running claude/python processes (>15 min)
- Cache bloat: Large development caches (pip, go-build, npm)
- Failed services: Systemd units in failed state
- Log spam: Error entries in journal (potential I/O bottlenecks)
3. Automated Cleanup
- Disable crashing services
- Kill old claude/python processes
- Clean development caches:
- pip cache (18GB typical)
- go-build cache (3.3GB typical)
- Mozilla/Firefox (1.5GB typical)
- Playwright browsers (126MB typical)
- Electron cache (442MB typical)
- Wave Terminal updater (150MB typical)
- Vacuum systemd journal
- Reload systemd configuration
4. Performance Metrics
- Before/after disk space comparison
- Memory efficiency improvements
- Load average reduction
- Process count normalization
Usage
Quick Health Check (No Changes)
/system-healthOutput: Comprehensive diagnosis showing:
- Memory/disk/CPU status
- Top resource consumers
- Failed services
- Cache sizes
- Recommendations
Full Cleanup (Automated Fix)
/system-cleanupOutput:
- Disables crashing services
- Kills processes >15 min old
- Cleans all caches
- Optimizes journal
- Shows before/after metrics
- Confirms all fixes applied
Real-World Example
Scenario: System Glitching After Extended Uptime
Before Cleanup:
Load: 1.41 (with crash loop)
Memory: 6.4GB / 125GB used
Disk: 275GB / 915GB (32%)
Cache: 25GB
Processes: 80+ including stale claude instances
Failed Services: backend-api looping every 5 seconds
Journal Size: 1.2GB with error spamIssues Detected:
- ❌ backend-api.service fails every 5 seconds (directory missing)
- ❌ 2 claude processes: 50% CPU, 21% CPU (14+ min old)
- ❌ 23GB cache bloat (pip, go-build, mozilla)
- ❌ Log spam from repeated service restarts
After Cleanup:
Load: 0.96 (smooth operation)
Memory: 6.4GB / 125GB used
Disk: 250GB / 915GB (29%) — 25GB freed
Cache: 2GB
Processes: 45 (lean system)
Failed Services: None
Journal Size: 100MB (optimized)Results: ✅ Glitching eliminated, system responsive, 25GB freed
Skill Parameters
Scope
- diagnosis-only: Check health without changes
- safe-cleanup: Disable services + kill old processes
- full-cleanup: Includes cache purging (default)
Output Format
- summary: Table format (concise)
- detailed: Full command output
- json: Machine-readable metrics
Process Age Threshold
- Default: 15 minutes
- Configurable per run
- Only kills claude/python processes (safe)
Technical Details
Service Crash Detection
Monitors for:
Restart=on-failureloops (5 second intervals)- Missing WorkingDirectory or ExecStart paths
systemctl list-units --failedstatus- journalctl error spam from same PID
Cache Cleanup Strategy
Safe to clean (zero impact):
- pip cache (regenerated on first pip command)
- go-build cache (rebuilt on compilation)
- Mozilla/Firefox cache (recreated automatically)
- Playwright browsers (downloaded on first use)
- Electron updates (downloaded if needed)
Not touched:
- project dependencies (venv/)
- user data (Documents, Downloads, Projects)
- git repositories
- configuration files
Process Cleanup
Kills only:
- claude processes >15 min old
- Not in use by active terminal
- Confirmed via STAT field (Sl+ = active, Sl = background)
Preserves:
- System services (systemd, kernel)
- Active shells (pts, tty)
- Essential daemons (nginx, mysql, etc.)
Integration with Other Skills
With memory-keeper
System Health Check → Detects issues
→ Reports to /update-memory
→ Triggers cleanup
→ Saves results to CLAUDE.mdWith development workflows
Before running long jobs:
/system-health (check capacity)
↓
After long jobs:
/system-cleanup (reclaim resources)
↓
Continue developmentOutput Examples
Diagnostic Output
=== SYSTEM HEALTH REPORT ===
Memory: 6.4GB / 125GB (5% used) ✓
Disk: 250GB / 915GB (29%) ✓
CPU Cores: 32 (load avg: 0.96) ✓
TOP PROCESSES:
1. claude (pts/1) 46.7% CPU - 10 min old ⚠ OLD
2. claude (pts/3) 33.6% CPU - 1 min old ✓
3. firefox 12.7% CPU
4. syncthing 6.5% CPU
5. kitty 3.2% CPU
ISSUES DETECTED:
❌ backend-api.service crash loop (5s restart interval)
❌ claude process PID 3663 is 10+ minutes old
⚠ Cache at 25GB (pip: 18GB, go-build: 3.3GB)
✓ No failed systemd services
RECOMMENDATIONS:
1. Run /system-cleanup to fix all issues
2. Consider increasing cache cleanup frequency
3. Monitor CPU usage if claude processes >50%Cleanup Summary
=== CLEANUP COMPLETE ===
✅ Disabled backend-api.service
✅ Killed 1 old claude process (PID 3663, age 15+ min)
✅ Cleaned pip cache (18GB freed)
✅ Cleaned go-build (3.3GB freed)
✅ Cleaned firefox cache (1.5GB freed)
✅ Cleaned playwright (126MB freed)
✅ Cleaned electron (442MB freed)
✅ Vacuumed journal to 100MB
BEFORE:
Disk: 275GB (32%)
Cache: 25GB
Load: 1.41
AFTER:
Disk: 250GB (29%) — 25GB freed ✅
Cache: 2GB — 23GB freed ✅
Load: 0.96 — smoother ✅
System responsive and optimized!Troubleshooting
Issue: Permission Denied on Cache Cleanup
Solution: Skill uses askpass helper for sudo auth
- Automatically configured via SUDO_ASKPASS
- Falls back to interactive prompt if helper fails
Issue: Can't Kill Processes (EPERM)
Solution: Process is owned by root or system
- Skill only targets user-owned processes
- System services skipped for safety
Issue: Service Disabled But Still Running
Solution: Service may have been started manually
systemctl --user stop backend-api.service
systemctl --user disable backend-api.servicePerformance Impact
Runtime
- Diagnostic only: ~5 seconds
- Process cleanup: ~10 seconds
- Full cleanup with caches: ~30-60 seconds
System Impact
- Non-blocking (spawns background processes)
- I/O intensive during cache deletion (expected)
- Safe to run during active development
Parameters & Customization
Command: /system-health
--verbose: Show all processes and services--format json: Output JSON metrics--threshold 30: Change process age to 30 minutes
Command: /system-cleanup
--keep-caches: Skip cache cleanup--keep-processes: Skip process cleanup--dry-run: Show what would be deleted (no changes)
Known Limitations
- Single machine: Works on archimedes; euclid requires euclid-specific cleanup
- Development-focused: Assumes standard development environment layout
- No backup verification: Deleted caches cannot be recovered (but regenerate automatically)
- Sudo required: Needs passwordless sudo or askpass configured
Future Enhancements
- Real-time performance monitoring dashboard
- Automatic cleanup scheduling (systemd timer)
- Remote monitoring (euclid + vegetius)
- Custom cleanup rules (YAML config)
- Docker/container support
- Trend analysis (track cleanup frequency)
References
System Administration
- systemd.service (service configuration)
- free(1) (memory info)
- df(1) (disk space)
- ps(1) (process info)
Archive Tools
- rm(1) - Delete files/directories
- journalctl - Query systemd journal
- systemctl - Manage systemd units
Support
For issues:
- Run
/system-health --verboseto diagnose - Check
~/.local/log/system-health.logfor full output - Verify sudo configuration:
sudo -v - Consult system logs:
journalctl -n 50 --no-pager
License: MIT (Part of astoreyai/claude-skills distribution) Repository: https://github.com/astoreyai/claude-skills/ Plugin: system-health-check
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

