Eval Session Scorecard

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by whitespectre · vlatest · Repository

This skill generates a detailed scorecard evaluating AI session performance based on key metrics, optimizing for better results and insights.

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 eval-session-scorecard npx -- -y @trustedskills/eval-session-scorecard
2

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

~/.claude/settings.json
{
  "mcpServers": {
    "eval-session-scorecard": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/eval-session-scorecard"
      ]
    }
  }
}

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

About This Skill

What it does

This skill generates a scorecard to evaluate AI assistant sessions. It provides structured feedback based on predefined criteria, allowing for consistent and objective assessment of performance. The resulting scorecard can be used to identify strengths and weaknesses in agent behavior and guide improvement efforts.

When to use it

  • Evaluating chatbot responses: Assess the quality and relevance of a chatbot's answers across various user queries.
  • Analyzing code generation tasks: Score an AI assistant’s ability to generate correct, efficient, and well-documented code.
  • Reviewing creative writing outputs: Evaluate the creativity, coherence, and overall quality of stories or other written content produced by an AI agent.
  • Tracking progress over time: Use scorecards repeatedly to measure improvements in agent performance after training or adjustments.

Key capabilities

  • Scorecard generation based on predefined criteria.
  • Structured feedback format for consistent evaluation.
  • Objective assessment of AI assistant performance.

Example prompts

  • "Generate a scorecard for this conversation with the AI assistant: [conversation transcript]"
  • "Create a scorecard evaluating the code generated by the agent, focusing on efficiency and readability."
  • "Score this story written by the AI assistant using these criteria: [list of criteria]."

Tips & gotchas

The quality of the scorecard depends heavily on the clarity and specificity of the evaluation criteria. Providing detailed instructions or a rubric will improve the accuracy and usefulness of the generated scorecard.

Tags

🛡️

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Details

Version
vlatest
License
Author
whitespectre
Installs
3

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Passed automated security scans.