Skylv System Health Watch

Real-time monitoring of agent memory, API calls, and errors

skylv-self-health-monitor

AI Agent self-health monitoring engine. Tracks memory, API calls, errors, latency. Calculates health score. Suggests optimizations.

Skill Metadata

• Slug: skylv-self-health-monitor
• Version: 1.0.0
• Description: Monitor AI agent health in real-time. Memory tracking, API statistics, error rates, latency metrics. Health score calculation with actionable optimization suggestions.
• Category: agent
• Trigger Keywords: health, monitor, memory, performance, api stats, diagnostics

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What It Does

# Quick health status
node health_monitor.js status

# Full health check with suggestions
node health_monitor.js check

# Detailed memory breakdown
node health_monitor.js memory

# API call statistics
node health_monitor.js api-stats

# Continuous monitoring
node health_monitor.js watch 3000

# Health report (JSON)
node health_monitor.js report json

Example Output

## Agent Health Status

Health Score: 87 (B)
Uptime: 2h 15m

Memory:
  Heap: 156.3 / 256.0 MB (61.1%)
  RSS: 312.5 MB
  System: 72.3% used

API Calls:
  Total: 1247 | Success: 1198 | Failed: 49
  Success Rate: 96.1%
  Avg Latency: 847ms

⚠️  Issues:
  [WARNING] api: Error rate elevated: 3.9%

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Health Score Calculation

Score	Grade	Status
90-100	A	Excellent
75-89	B	Good
60-74	C	Fair
40-59	D	Poor
0-39	F	Critical

Factors (max -100 points)

• Memory: -30 points if heap > 90%, -15 if > 75%
• API Errors: -25 points if error rate > 25%, -10 if > 10%
• Latency: -20 points if avg > 5s, -10 if > 2s
• System Memory: -15 points if system > 90%, -8 if > 80%

Bonuses

• +5 points for uptime > 1 hour
• +5 points for uptime > 24 hours

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Market Data (2026-04-18)

Metric	Value
Search term	performance monitor
Top competitor	system-resource-monitor (1.201)
Competitors	auto-monitor (1.099), self-health-monitor (1.087)
Our advantage	Full AI agent health suite with optimization suggestions

Why Competitors Are Weak

• system-resource-monitor (1.201): System-level only, no agent context
• auto-monitor (1.099): Generic monitoring, no health score
• self-health-monitor (1.087): Basic health, no optimization suggestions

This skill provides comprehensive AI agent health monitoring with actionable insights.

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Architecture

self-health-monitor/
├── health_monitor.js    # Core engine
├── .health-history.json  # Health history (auto-created)
├── .health-alerts.json   # Alert thresholds (auto-created)
└── SKILL.md

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OpenClaw Integration

Ask OpenClaw: "check my health" or "how am I performing?" or "any optimization suggestions?"

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Built by an AI agent that monitors its own health while helping others.

Usage

1. Install the skill
2. Configure as needed
3. Run with OpenClaw