nw-ab-critique-dimensi…
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance
$ npx -y skills add nWave-ai/nWave --skill nw-agent-testing --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/nw-agent-testingContext preview
The summary Claude sees to decide when to auto-load this skill.
5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance
name: nw-agent-testing description: 5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance user-invocable: false disable-model-invocation: true
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.
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).
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.
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 agent achieve same results?
**How**: `@nw-agent-builder` validates via 11-point checklist or `@agent-builder-reviewer` runs structured review.
Test resilience against misuse and prompt injection.
**Test**: Tool restriction enforcement | maxTurns respected | Permission mode correctly scoped | Agent stays within declared scope
**How**: Frontmatter fields enforce at platform level. Verify configuration.
Claude Code platform provides injection resistance through: subagent isolation (own context, no sub-subagents) | Tool restriction via frontmatter `tools` | Permission modes via `permissionMode` | Hook-based validation (PreToolUse, PostToolUse)
Do NOT add prose-based injection defense. Configure platform features:
--- tools: Read, Glob, Grep # Only tools this agent needs maxTurns: 30 # Prevents runaway execution permissionMode: default # User approves dangerous actions ---
1. **Create** with minimal definition 2. **Layer 1**: Invoke with 2-3 representative inputs, check outputs 3. **Layer 2**: Run in workflow chain if applicable 4. **Fix** failures observed 5. **Validate**: Run 11-point checklist 6. **Iterate**: Add instructions only for observed failure modes
AI agents that guide you from idea to working code, with human judgment at every gate. nWave runs inside Claude Code. It breaks feature delivery into seven waves (discover, diverge, discuss, design, devops, distill, deliver).
Repo: nWave-ai/nWave
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
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