Promptfoo Evaluation

🌐Community
by aleister1102 · vlatest · Repository

Promptfoo Evaluation assesses prompt quality & effectiveness by analyzing outputs, boosting prompt engineering and achieving desired results faster.

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 aleister1102-promptfoo-evaluation npx -- -y @trustedskills/aleister1102-promptfoo-evaluation
2

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

~/.claude/settings.json
{
  "mcpServers": {
    "aleister1102-promptfoo-evaluation": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/aleister1102-promptfoo-evaluation"
      ]
    }
  }
}

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

About This Skill

What it does

This skill, promptfoo-evaluation, provides a way to evaluate and score AI agent responses. It assesses outputs based on criteria you define, returning a numerical score and potentially qualitative feedback. This allows for automated assessment of AI performance and iterative improvement of prompts or agent configurations.

When to use it

  • Automated Testing: Regularly test the quality of an AI's responses to specific prompts as part of a continuous integration/continuous deployment (CI/CD) pipeline.
  • Prompt Optimization: Compare different prompt variations to see which produces higher-quality outputs according to your defined criteria.
  • Agent Fine-tuning: Evaluate how changes to an agent’s configuration affect its performance on specific tasks and benchmarks.
  • Quality Assurance: Quickly assess the suitability of AI generated content before publishing or using it in production.

Key capabilities

  • Evaluates AI responses based on user-defined criteria.
  • Returns a numerical score representing the quality of the response.
  • Provides qualitative feedback (details not specified).

Example prompts

  • "Evaluate this AI response: [AI Response Text] using these criteria: [Criteria List]"
  • "Score the following output from my chatbot: [Chatbot Output] and provide feedback."
  • "Assess the quality of this generated email: [Email Content] based on clarity, tone, and accuracy."

Tips & gotchas

The effectiveness of this skill depends heavily on providing clear and well-defined evaluation criteria. Without specific instructions, the results may be inconsistent or unreliable.

Tags

🛡️

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Details

Version
vlatest
License
Author
aleister1102
Installs
4

🌐 Community

Passed automated security scans.