Agent Performance Benchmarker
Ruvnet's agent-performance-benchmarker automatically assesses agent capabilities across diverse tasks, providing quantifiable performance metrics.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add agent-performance-benchmarker npx -- -y @trustedskills/agent-performance-benchmarker
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"agent-performance-benchmarker": {
"command": "npx",
"args": [
"-y",
"@trustedskills/agent-performance-benchmarker"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The Agent Performance Benchmarker skill allows you to evaluate the performance of AI agents across various tasks. It provides structured testing and reporting, enabling comparisons between different agent configurations or models. This facilitates identifying strengths, weaknesses, and areas for improvement in your AI agents.
When to use it
- Comparing Agent Models: Determine which language model (e.g., GPT-4 vs. Claude 3) performs best on a specific set of tasks within an agent.
- Evaluating Prompt Engineering Changes: Measure the impact of prompt modifications on an agent's accuracy and efficiency.
- Assessing Tool Integration: Quantify how effectively an agent utilizes external tools or APIs to complete complex workflows.
- Regression Testing: Ensure that changes to an agent’s code or configuration don't negatively affect its performance over time.
Key capabilities
- Structured task definition and execution
- Automated result logging and reporting
- Performance comparison across different agents
- Task-specific evaluation metrics
Example prompts
- "Run the 'website_scraping' benchmark with agent version 1.2."
- "Compare the performance of Agent A and Agent B on the 'data_extraction' task."
- "Generate a report showing the average completion time for each task in the 'customer_service' suite."
Tips & gotchas
The skill requires clear definitions of tasks and expected outputs to accurately measure agent performance. Ensure that the benchmark environment is consistent across different agents being compared to avoid skewed results.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.