Agent Performance Benchmarker

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by ruvnet · vlatest · Repository

Automatically assesses ruvnet agent performance across key metrics, providing actionable insights for optimization and improvement.

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 ruvnet-agent-performance-benchmarker npx -- -y @trustedskills/ruvnet-agent-performance-benchmarker
2

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

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

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

About This Skill

What it does

The ruvnet-agent-performance-benchmarker skill allows you to evaluate and compare the performance of AI agents. It provides a standardized benchmarking framework, enabling objective assessment of different agent configurations or models. This helps identify strengths and weaknesses in agent design and optimize for specific tasks.

When to use it

  • Comparing Agent Models: Evaluate which language model performs best on a given task within an agent setup.
  • Optimizing Agent Configurations: Test various prompt engineering techniques or tool integrations to see how they impact overall agent performance.
  • Identifying Bottlenecks: Pinpoint areas where an agent is struggling, such as slow response times or inaccurate results.
  • Regression Testing: Ensure that changes made to an agent don't negatively impact its performance over time.

Key capabilities

  • Standardized benchmarking framework
  • Performance evaluation of AI agents
  • Comparison of different agent configurations
  • Objective assessment of agent strengths and weaknesses

Example prompts

  • "Benchmark the 'agent_a' configuration against 'agent_b' using the provided task list."
  • "Run a performance test on my agent with prompt 'X' versus prompt 'Y'."
  • "Evaluate agent performance for this specific scenario: [scenario description]."

Tips & gotchas

The skill requires a defined set of tasks or scenarios to benchmark against. Ensure these are representative of the intended use case for accurate and meaningful results.

Tags

🛡️

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Details

Version
vlatest
License
Author
ruvnet
Installs
3

🌐 Community

Passed automated security scans.