EvalKit is a conversational evaluation framework for AI agents that guides you through creating robust evaluations using the Strands Evals SDK. Through natural conversation, you can plan evaluations, generate test data, execute evaluations, and analyze results.
Installation
SKILL.md
EvalKit is a conversational evaluation framework for AI agents that guides you through creating robust evaluations using the Strands Evals SDK. Through natural conversation, you can plan evaluations, generate test data, execute evaluations, and analyze results.
EvalKit understands the evaluation workflow and guides users through four phases: Plan, Data, Eval, and Report.
User Intent: Analyze results and get recommendations Example Requests:
EvalKit is a conversational evaluation framework for AI agents that guides you through creating robust evaluations using the Strands Evals SDK. Through natural conversation, you can plan evaluations, generate test data, execute evaluations, and analyze results. Source: mikeyobrien/ralph-orchestrator.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/mikeyobrien/ralph-orchestrator --skill eval- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is eval?
EvalKit is a conversational evaluation framework for AI agents that guides you through creating robust evaluations using the Strands Evals SDK. Through natural conversation, you can plan evaluations, generate test data, execute evaluations, and analyze results. Source: mikeyobrien/ralph-orchestrator.
How do I install eval?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/mikeyobrien/ralph-orchestrator --skill eval Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/mikeyobrien/ralph-orchestrator
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01