nw-agent-testing

# Agent Testing Framework ## 5-Layer Testing Approach ### Layer 1: Output Quality (Unit-Level) Validate agent produces correct, well-structured outputs for typical inputs. **Test**: Agent follows workflow phases | Outputs match expected format/structure | Domain-specific rules correctly applied | Token efficiency within bounds **How**: Manual invocation with representative inputs. Check against acceptance criteria in agent description. ### Layer 2: Integration / Handoff Validation Validate correct input/output between agents in workflows. **Test**: Input parsing handles upstream format | Output format matches downstream expectations | Error signals propagate correctly | Subagent mode activation works (skip greet, execute autonomously) **How**: End-to-end workflow execution through full agent chain (e.g., DISCUSS -> DESIGN -> DELIVER). ### Layer 3: Adversarial Output Validation Challenge validity of agent outputs rather than accepting at face value. **Test**: Source verification (cited sources real and accurate?) | Bias detection (favors one approach without evidence?) | Edge case coverage | Completeness (required sections present?) **How**: Peer review by `-reviewer` agent using structured critique dimensions. ### Layer 4: Adversarial Verification (Peer Review) Independent review to catch biases and blind spots in agent design. **Test**: Definition follows validation checklist? | Redundant Claude default instructions? | Over/under-specified? | Could simpler ag...