System monitoring and health checks for Quantum C2. Use when checking service health, reviewing logs, diagnosing performance issues, or setting up alerts. Triggers on "health check", "monitor", "system status", "check logs", "performance", "uptime", "diagnostics", "service health".
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
System health checks, log review, and performance diagnostics.
# Python backend status
curl -s http://localhost:8000/health 2>/dev/null || echo "Backend not running"
# Process check
tasklist /FI "IMAGENAME eq python.exe" 2>/dev/null | head -5
# Port check
netstat -ano | findstr :8000
| Log | Path | Purpose |
|---|---|---|
| Application | logs/quantum.log | App-level events |
| Access | logs/access.log | HTTP requests |
| Error | logs/error.log | Exception tracebacks |
| Security | logs/security.log | Auth events, RBAC |
# Last 50 lines
tail -50 logs/quantum.log
# Filter errors
grep -i "error\|exception\|traceback" logs/quantum.log | tail -20
# Filter by time range
grep "2026-08-18" logs/quantum.log | head -30
# Security events
grep -i "auth\|login\|rbac\|clearance" logs/security.log | tail -20
# Python process memory/CPU
python -c "
import psutil
for p in psutil.process_iter(['pid','name','memory_percent','cpu_percent']):
if 'python' in p.info['name'].lower():
print(f\"PID {p.info['pid']}: {p.info['memory_percent']:.1f}% mem, {p.info['cpu_percent']:.1f}% cpu\")
"
# Disk usage
python -c "
import shutil
total, used, free = shutil.disk_usage('/')
print(f'Disk: {used/(2**30):.1f}GB used / {total/(2**30):.1f}GB total ({used/total*100:.0f}%)')
"
# Database size
ls -lh test.db 2>/dev/null || echo "No local DB"
| Metric | Warning | Critical |
|---|---|---|
| CPU | >70% | >90% |
| Memory | >75% | >90% |
| Disk | >80% | >95% |
| Response time | >500ms | >2000ms |
| Error rate | >1% | >5% |
## Service Health Report
**Time:** YYYY-MM-DD HH:MM:SS
**Uptime:** Xh Xm
| Service | Status | Response | Notes |
|---------|--------|----------|-------|
| Backend API | OK | 45ms | — |
| Database | OK | 12ms | — |
| Frontend | OK | Static | — |
**Resources:** CPU X% | Memory X% | Disk X%
**Errors (last 24h):** X
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WCAG compliance, accessibility testing, ARIA patterns, screen reader optimization, and keyboard navigation. Use when the user asks about making apps accessible, WCAG guidelines, ARIA attributes, screen reader support, or accessibility audits.
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Generate AI music using ACE-Step 1.5 via ACE Music's free API. Use when the user asks to create, generate, or compose music, songs, beats, instrumentals, or audio tracks. Supports lyrics, style prompts, covers, and repainting. Free API, no cost.
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A continuously adaptive skill suite that empowers Clawdbot to act as a versatile coder, business analyst, project manager, web developer, data analyst, and NAS metadata scraper. It intelligently discovers free resources, adapts to user context, and ensures reliable, proven guidance across multiple domains.
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High-fidelity intelligence gathering and data assimilation. Focuses on synthesizing fragmented data into a comprehensive target operational picture.
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Use when Codex needs proactive task queues, heartbeat routines, scheduled follow-up, or continuous work loops instead of waiting for prompts.
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Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
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