Evaluation Harness
This tool automates and streamlines the process of evaluating AI model outputs against predefined criteria for consistent quality assessment.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add monkey1sai-evaluation-harness npx -- -y @trustedskills/monkey1sai-evaluation-harness
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"monkey1sai-evaluation-harness": {
"command": "npx",
"args": [
"-y",
"@trustedskills/monkey1sai-evaluation-harness"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides an evaluation harness, likely designed to assess and benchmark AI agent performance. It allows users to run evaluations against a defined set of criteria or tasks. The specific capabilities are not detailed in the source, but it implies structured testing and reporting functionality.
When to use it
- Benchmarking Agent Performance: Compare different AI agents on a standardized task set.
- Evaluating New Prompts/Skills: Quickly assess how changes impact an agent's output quality.
- Regression Testing: Ensure new code or model updates don’t negatively affect existing capabilities.
- Automated Evaluation Pipelines: Integrate the harness into automated workflows for continuous assessment.
Key capabilities
- Evaluation Harness functionality
- Likely supports task definition and execution
- Potentially includes reporting features (details not specified)
Example prompts
- "Run evaluation suite 'task_a' against agent 'model_x'."
- "Evaluate the new prompt for summarization using the standard benchmark."
- "Execute all available evaluations and report results to file."
Tips & gotchas
The skill requires a defined set of tasks or criteria to evaluate. Without properly configured evaluation definitions, the harness will not function correctly.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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