Agent Performance Monitor

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by ruvnet · vlatest · Repository

Helps with performance optimization, monitoring as part of orchestrating AI agents and multi-step workflows workflows.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add agent-performance-monitor npx -- -y @trustedskills/agent-performance-monitor
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "agent-performance-monitor": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/agent-performance-monitor"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The Agent Performance Monitor skill allows you to track and analyze the performance of your AI agents over time. It collects metrics such as execution time, cost, and error rates, providing insights into efficiency and potential areas for optimization. This data is presented in a clear format, enabling informed decisions about agent configuration and resource allocation.

When to use it

  • Debugging slow agents: Identify bottlenecks and inefficiencies impacting an agent's speed.
  • Cost Optimization: Monitor agent costs to identify opportunities for reducing expenses without sacrificing performance.
  • Error Rate Analysis: Track error rates to pinpoint problematic areas in your agent workflows.
  • Performance Regression Detection: Establish a baseline and detect when changes negatively impact agent performance.

Key capabilities

  • Execution time tracking
  • Cost monitoring
  • Error rate reporting
  • Historical data analysis

Example prompts

  • "Show me the average execution time for my 'content_summarizer' agent over the last week."
  • "What was the total cost of running the 'data_extraction' agent yesterday?"
  • "Report any errors encountered by the 'email_responder' agent in the past 24 hours."

Tips & gotchas

The skill requires appropriate permissions to access and monitor agent execution data. Ensure your AI agent has the necessary credentials configured for accurate performance tracking.

Tags

🛡️

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Details

Version
vlatest
License
Author
ruvnet
Installs
25

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Passed automated security scans.