Evaluate skill-equipped agents with Strands Evals and Amazon Bedrock AgentCore

AWS adds skill‑focused tests for Bedrock AgentCore, letting teams spot wrong skill use or skipped steps in agent workflows.

Evaluate skill-equipped agents with Strands Evals and Amazon Bedrock AgentCore

Why Now

AWS announced new Strands Evals SDK and AgentCore evaluation tools to measure skill selection and instruction following in Bedrock agents.

What Happened

The SDK introduces three evaluators: Skill Selection Accuracy, Skill Instruction Following, and SkillInvoked. They analyze recorded trajectories or OpenTelemetry traces to check if the right skill was chosen and if all prescribed steps were followed. The tools are part of Amazon Bedrock AgentCore’s new evaluation capability.

Why It Matters

These metrics help developers catch subtle failures that standard output quality tests miss, enabling more reliable, compliant agent behavior and faster iteration on skill design. They also support better debugging and auditability of agent workflows.

The Limitation

The evaluators rely on recorded traces; they don’t detect failures that occur outside the logged interactions or in uninstrumented tool calls.

What You Can Do

Run the Strands Evals SDK on your agent’s recorded runs to identify mis‑selected or partially executed skills.

Source

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