agent-sop-eval

Evaluate AI agent SOPs using Strands Evals SDK and generate improvement recommendations.

Updated Mar 19, 2026

Search Tags:#testing #feedback #sop #evaluate #agent-evaluation #strands-evals

Ready to run

npx skills add https://github.com/japurcell/skills --skill agent-sop-eval

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-sop-eval
Source: https://github.com/japurcell/skills/tree/main/skills/agent-sop-eval
Command: npx skills add https://github.com/japurcell/skills --skill agent-sop-eval

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Evaluate and improve AI agent SOPs by enabling structured, end-to-end evaluations that expose gaps in planning, reasoning, and execution, followed by evidence-based improvements.

Core Features & Use Cases

End-to-end evaluation planning and execution for AI agents
Test data generation, execution, and results analysis using Strands Evals SDK
Actionable feedback and improvement recommendations based on results

Quick Start

Provide an agent path and ask to evaluate its SOPs for a specific task.

Frequently Asked Questions about agent-sop-eval

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

FAQPage Schema

How do I evaluate AI agent SOPs to find gaps in planning and execution?▼

To evaluate AI agent SOPs, you run structured, end-to-end evaluations that expose gaps in planning, reasoning, and execution. This generates evidence-based feedback for actionable improvements.

What is structured agent evaluation and when do I need it?▼

Structured agent evaluation is a rigorous workflow assessing an AI agent's performance on designated tasks in controlled scenarios. You need it to generate actionable feedback across planning, execution, and improvement recommendations.

How do I generate test data and analyze results for agent evaluations?▼

You generate test data and analyze agent evaluation results using the Strands Evals SDK. This workflow includes plan creation, test data generation, execution, and results analysis to produce actionable feedback.

Can I use the Strands Evals SDK to evaluate my AI agent's task performance?▼

Yes, you can use the Strands Evals SDK to execute evaluations for your AI agent. The workflow supports plan creation, test data generation, execution, and results analysis to deliver structured feedback.

What's the best way to get actionable improvement recommendations for an AI agent?▼

The best way to get actionable improvement recommendations is to conduct structured evaluations using the Strands Evals SDK. Analyzing execution results provides evidence-based feedback to improve your agent's SOPs.