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🦀 ClawHub

Agent Metrics

by @nantes

Monitor AI agent calls, errors, latency, and resource usage with a terminal dashboard and JSON export for observability and metrics tracking.

Versionv1.0.5

Downloads2,026

Comments2

#data #legal

View on ClawHub →

TERMINAL

clawhub install agent-metrics-osiris

📖 About This Skill

name: agent-metrics version: 1.0.3 description: Observability and metrics for AI agents - track calls, errors, latency metadata: {"openclaw": {"emoji": "📊", "category": "utility", "requires": {"bins": ["python"], "pip": ["psutil"]}, "homepage": "https://github.com"}

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

| Type | Description | Fields | |------|-------------|--------| | call | API call made | label, timestamp | | error | Error occurred | label, details, timestamp | | latency | Response time (ms) | label, value, timestamp | | custom | Custom metric | label, value |

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

💡 Examples