Nw Review Output Format Agent Skill

by nWave-ai

YAML output format and approval criteria for platform design reviews. Load when generating review feedback.

615 tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

588

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/nWave-ai/nWave --skill nw-review-output-format

The instruction itself

3 sections, as written by the author

Platform Review Output Format

YAML Structure

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}"

Approval Criteria

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.

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How to use it

Copy the folder

Take nwave-ai/nw-review-output-format from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.