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evaluate

Convert an execution log into a structured HTML evaluation report with per-step feedback.

Updated Aug 23, 2026
Search Tags:#debugging#feedback#qa#agent-execution#evaluate#html-report
One-click install
npx skills add https://github.com/VCasecnikovs/klava --skill evaluate-vcasecnikovs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: evaluate
Source: https://github.com/VCasecnikovs/klava/tree/main/.claude/skills/evaluate
Command: npx skills add https://github.com/VCasecnikovs/klava --skill evaluate-vcasecnikovs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Evaluate Skill provides a formal, repeatable method to review an agent's execution steps and capture targeted feedback, producing a clear record of what happened and why.

Core Features & Use Cases

  • Reflect on the current session to identify what happened at each step (MATCH, THINK, ACT, VERIFY, LEARN).
  • Generate an HTML report that visualizes the agent's actions and allows side-by-side feedback for precise improvements.
  • Use the feedback to update skills, refine verification criteria, and guide retries in future executions.

Quick Start

Run after a session to generate a step-by-step HTML evaluation and collect targeted feedback for improvements.

Frequently Asked Questions about evaluate

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate an evaluation report for agent execution logs?▼

To generate an agent evaluation report, provide an execution log to produce a structured HTML report. The report breaks down the session into MATCH, THINK, ACT, VERIFY, and LEARN steps with side-by-side feedback fields.

What is the best way to capture debugging feedback for an AI agent's actions?▼

Capturing debugging feedback is best handled by reviewing the agent's execution log and converting it into a portable HTML report. This approach visualizes actions and organizes targeted improvement notes per execution step.

How do I review and provide feedback on agent execution steps?▼

You review agent execution steps by reflecting on the session log and evaluating the MATCH, THINK, ACT, VERIFY, and LEARN phases. The generated HTML report provides side-by-side feedback fields to document precise improvements for each step.

Do I need an execution log to evaluate an agent session?▼

Yes, an execution log is required to evaluate an agent session. The Skill converts the provided log into a parseable, update-ready HTML report, allowing you to analyze the sequence of actions and add structured feedback for future retries.

Can I use the evaluation feedback to update and refine agent skills?▼

Yes, you can use the evaluation feedback to update skills and refine verification criteria. The structured HTML report provides an update-ready format that directly guides improvements for future agent executions and retries.

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