nw-ab-critique-dimensi…
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
YAML output format and approval criteria for platform design reviews. Load when generating review feedback.
$ npx -y skills add nWave-ai/nWave --skill nw-review-output-format --agent claude-codeHow it fires
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/nw-review-output-formatContext preview
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YAML output format and approval criteria for platform design reviews. Load when generating review feedback.
name: nw-review-output-format description: YAML output format and approval criteria for platform design reviews. Load when generating review feedback. user-invocable: false disable-model-invocation: true
review_id: "platform_rev_{timestamp}"
reviewer: "nw-platform-architect-reviewer (Atlas)"
artifact_reviewed: "{path to platform design documents}"
review_date: "{ISO 8601 timestamp}"
external_validity_check:
deployment_path_complete: "{PASS/FAIL}"
observability_enabled: "{PASS/FAIL}"
rollback_capability: "{PASS/FAIL}"
security_gates_present: "{PASS/FAIL}"
overall_status: "{PASS/FAIL/BLOCKER}"
blocking_issues:
- "{issue description if any}"
strengths:
- category: "{pipeline/infrastructure/deployment/observability/security}"
description: "{what is done well}"
evidence: "{specific example from design}"
issues_identified:
- id: 1
category: "{pipeline/infrastructure/deployment/observability/security}"
dimension: "{critique dimension name}"
severity: "{blocker/critical/high/medium/low}"
description: "{clear description}"
impact: "{consequence if not addressed}"
recommendation: "{specific, actionable fix}"
evidence: "{where in the design this was found}"
dora_metrics_assessment:
deployment_frequency_enabled: "{yes/no/partial}"
lead_time_achievable: "{yes/no/partial}"
change_failure_rate_trackable: "{yes/no/partial}"
time_to_restore_measurable: "{yes/no/partial}"
assessment_notes: "{specific observations}"
priority_validation:
largest_bottleneck_addressed: "{YES/NO/UNCLEAR}"
simple_alternatives_documented: "{ADEQUATE/INADEQUATE/MISSING}"
constraint_prioritization: "{CORRECT/INVERTED/NOT_ANALYZED}"
verdict: "{PASS/FAIL}"
recommendations:
immediate:
- "{must fix before approval}"
short_term:
- "{should fix soon}"
long_term:
- "{consider for future improvement}"
approval_status: "{approved/rejected_pending_revisions/conditionally_approved}"
conditions_for_approval:
- "{condition if conditionally_approved}"**Approved**: No blocker or critical issues. High issues acknowledged with timeline.
**Conditionally approved**: No blockers. Critical issues have mitigation plan. High issues documented for follow-up.
**Rejected (pending revisions)**: Any blocker present | multiple critical issues without mitigation | external validity check failed.
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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