# Benchmark virtual agents with scripted multi-turn conversations using Agent Evaluation

> Run concurrent scripted conversations against a target agent to measure whether it stays on task, responds correctly, and holds up in repeatable test cases.

- Skill: `agentskillexchange/benchmark-virtual-agents-with-scripted-multi-turn-conversati` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/benchmark-virtual-agents-with-scripted-multi-turn-conversati`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/benchmark-virtual-agents-with-scripted-multi-turn-conversati/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/benchmark-virtual-agents-with-scripted-multi-turn-conversati

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# Benchmark virtual agents with scripted multi-turn conversations using Agent Evaluation

Run concurrent scripted conversations against a target agent to measure whether it stays on task, responds correctly, and holds up in repeatable test cases.

## Prerequisites

Python environment, target agent endpoint or integration, optional AWS services such as Bedrock or SageMaker

## Installation

No source-backed install or usage instructions could be extracted automatically. Review the upstream project before running this skill in a sensitive workflow.

- Source: https://github.com/awslabs/agent-evaluation

## Documentation

- https://awslabs.github.io/agent-evaluation/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/benchmark-virtual-agents-with-scripted-multi-turn-conversations-using-agent-evaluation/)