Agent Metrics Skill

Track and monitor your AI agent's behavior with built-in observability.

Files included: - metrics.py - Python CLI (cross-platform) - agent-metrics.ps1 - PowerShell wrapper (Windows)

What it does

• Call Tracking - Count API calls, messages, tasks
• Error Logging - Track errors with stack traces
• Latency Metrics - Measure response times
• Resource Usage - CPU, memory, network
• Simple Dashboard - Terminal-based metrics view
• Export - JSON export for external dashboards

Installation

# Install Python dependency
pip install psutil

Usage

Option 1: PowerShell (recommended on Windows)

.agent-metrics.ps1 -Action record -MetricType call -Label "api_openai"

Option 2: Python CLI (cross-platform)

python metrics.py record --type call --label "api_openai"

Record an Error

.agent-metrics.ps1 -Action record -MetricType error -Label "api_error" -Details "Rate limit exceeded"

Record Latency

.agent-metrics.ps1 -Action record -MetricType latency -Label "task_process" -Value 1500

View Dashboard

.agent-metrics.ps1 -Action dashboard

View Resource Usage (CPU, Memory, Disk)

.agent-metrics.ps1 -Action resources

Export Metrics

.agent-metrics.ps1 -Action export -Format json -Output metrics.json

Get Summary

.agent-metrics.ps1 -Action summary

Metrics Types

Dashboard Example

╔═══════════════════════════════════════════════╗
║           AGENT METRICS DASHBOARD            ║
╠═══════════════════════════════════════════════╣
║ Total Calls:     1,247                       ║
║ Total Errors:   23                          ║
║ Error Rate:     1.84%                        ║
║ Avg Latency:    234ms                        ║
║ Uptime:         4h 32m                      ║
╠═══════════════════════════════════════════════╣
║ Top Labels:                                  ║
║   api_openai      892 (71.5%)               ║
║   api_claude      234 (18.8%)               ║
║   task_process    121 (9.7%)                ║
╚═══════════════════════════════════════════════╝

Requirements

• Python 3.8+
• psutil library

License

MIT