bolivian-peru/system-monitor
skills/system-monitor/SKILL.md
Monitor system health: CPU, memory, disk, network, processes, services, and logs. Present data naturally. Correlate issues across subsystems. Alert on thresholds. Diagnose root causes.
$ install --global
skillsauthnpx skillsauth add bolivian-peru/os-moda system-monitorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 20, 2026, 3:00 AM23.7s1 file scanned
SKILL.md
- name:
- system-monitor
- description:
- >
- Monitor system health:
- CPU, memory, disk, network, processes, services, and logs.
- activation:
- auto
System Monitor Skill
You can monitor every aspect of the system in real time.
Quick Health Check
system_health()
Returns CPU usage per core, memory (total/used/available), swap, disk usage per mount, load average, and uptime.
Process Monitoring
List processes by resource usage
system_query({ query: "processes", args: { sort: "cpu", limit: 20 } })
system_query({ query: "processes", args: { sort: "memory", limit: 20 } })
Investigate a specific process
system_query({ query: "processes", args: { name: "firefox" } })
Disk Usage
system_query({ query: "disk" })
Returns per-mount: filesystem type, total/used/available space, usage percentage.
Diagnosis Workflow
When the user reports a problem:
- Check health first —
system_health()for the overview - Check memory — recall past similar issues:
memory_recall({ query: "similar problem description" }) - Drill into specifics — processes, disk, network as needed
- Correlate — "your disk is full because Docker images take 40GB"
- Store the diagnosis —
memory_store({ summary: "...", detail: "...", category: "diagnosis" })
Always diagnose before suggesting fixes. Explain what you found. Store diagnoses for future reference — next time the same issue occurs, you'll recall it instantly.
Thresholds
Flag these to the user proactively:
- CPU sustained >90% for >5 minutes
- Memory usage >85%
- Swap usage >50%
- Any disk mount >90% full
- Load average > 2x number of cores
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