nw-par-review-criteria

Quality dimensions and review checklist for devop reviews

322 stars

Best use case

nw-par-review-criteria is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Quality dimensions and review checklist for devop reviews

Teams using nw-par-review-criteria should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/nw-par-review-criteria/SKILL.md --create-dirs "https://raw.githubusercontent.com/nWave-ai/nWave/main/nWave/skills/nw-par-review-criteria/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/nw-par-review-criteria/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How nw-par-review-criteria Compares

Feature / Agentnw-par-review-criteriaStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Quality dimensions and review checklist for devop reviews

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# DevOp Reviewer: Review Criteria

## Critique Dimension 1: Incomplete Phase Handoffs

**Pattern**: Phase handoffs missing required artifacts or approvals.

**Required per Phase**:
- DISCUSS: Requirements document + peer review approval
- DESIGN: Architecture document + ADRs + peer review approval
- DISTILL: Acceptance tests + peer review approval
- DELIVER: Production code + tests (100% passing) + peer review approval

**Severity**: critical. Verify all artifacts present and peer-reviewed before phase transition.

---

## Critique Dimension 2: Deployment Readiness Gaps

**Pattern**: Feature marked "ready" but missing production prerequisites.

**Required**: All tests passing (100%) | Production configuration complete | Monitoring/alerting configured | Runbook/operational docs created | Rollback plan documented.

**Severity**: critical. Complete missing prerequisite before marking deployment-ready.

---

## Critique Dimension 3: Traceability Violations

**Pattern**: Cannot trace production code back to requirements.

**Required**: User stories map to acceptance tests | Acceptance tests map to production code | Code changes traceable to commits | All AC verified in production.

**Severity**: high. Establish traceability chain: user-story -> acceptance-tests -> code-commits.

---

## Critique Dimension 4: Priority Validation

**Purpose**: Validate roadmap addresses largest bottleneck first, not secondary concern.

### Questions

**Q1: Is this the largest bottleneck?**
Does timing data show primary problem? Larger problem being ignored? Assessment: YES / NO / UNCLEAR.

**Q2: Were simpler alternatives considered?**
Roadmap includes rejected alternatives? Rejection reasons evidence-based? Simpler solution achieves 80% benefit? Assessment: ADEQUATE / INADEQUATE / MISSING.

**Q3: Is constraint prioritization correct?**
Constraints quantified by impact? Architecture addresses constraint-free opportunities first? Minority constraint dominating? (flag if >50% of solution for <30% of problem). Assessment: CORRECT / INVERTED / NOT_ANALYZED.

**Q4: Is architecture data-justified?**
Key architectural decision supported by quantitative data? Different data leads to different architecture? Assessment: JUSTIFIED / UNJUSTIFIED / NO_DATA.

### Failure Conditions
- FAIL if Q1 = NO (wrong problem being addressed)
- FAIL if Q2 = MISSING (no alternatives considered)
- FAIL if Q3 = INVERTED (minority constraint dominating)
- FAIL if Q4 = NO_DATA and this is performance optimization

---

## Critique Dimension 5: Functional Integration

**Purpose**: Verify feature wired into system entry point -- prevents Testing Theatre.
A feature with 100% test coverage but 0% wiring tests is not complete.

**Validation Criteria**:
1. **Wiring test exists**: at least one acceptance test invokes feature through driving port
2. **Component integrated**: implemented component called from entry point module
3. **Boundary correct**: acceptance tests do not import internal components directly

**Gate failure response**: Block finalization | report specific integration gap with evidence | require integration step before completion.

---

## Quality Gate Checklist

### Technical Completion
- [ ] All acceptance tests passing with stakeholder validation
- [ ] Unit test coverage meeting project standards (>=80%)
- [ ] Integration test validation of cross-component functionality
- [ ] Code review completed with approval
- [ ] Static analysis and security scan passed
- [ ] Performance tested under realistic load

### Architecture Compliance
- [ ] Implementation aligns with architectural design
- [ ] Component boundaries and interfaces respected
- [ ] Security architecture implemented correctly

### Production Readiness
- [ ] Monitoring and alerting configured
- [ ] Logging and debugging capability validated
- [ ] Rollback procedure documented and tested
- [ ] Operational runbook complete
- [ ] Support team trained / knowledge transferred

### Business Completion
- [ ] All user stories completed with acceptance criteria met
- [ ] Business rules implemented and validated
- [ ] Stakeholder acceptance obtained

Related Skills

nw-tr-review-criteria

322
from nWave-ai/nWave

Review dimensions and scoring for root cause analysis quality assessment

nw-tdd-review-enforcement

322
from nWave-ai/nWave

Test design mandate enforcement, test budget validation, 5-phase TDD validation, and external validity checks for the software crafter reviewer

nw-sc-review-dimensions

322
from nWave-ai/nWave

Reviewer critique dimensions for peer review - implementation bias detection, test quality validation, completeness checks, and priority validation

nw-roadmap-review-checks

322
from nWave-ai/nWave

Roadmap-specific validation checks for architecture reviews. Load when reviewing roadmaps for implementation readiness.

nw-review

322
from nWave-ai/nWave

Dispatches an expert reviewer agent to critique workflow artifacts. Use when a roadmap, implementation, or step needs quality review before proceeding.

nw-review-workflow

322
from nWave-ai/nWave

Detailed review process, v2 validation checklist, and scoring methodology for agent definition reviews

nw-review-output-format

322
from nWave-ai/nWave

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

nw-por-review-criteria

322
from nWave-ai/nWave

Review dimensions and bug patterns for journey artifact reviews

nw-po-review-dimensions

322
from nWave-ai/nWave

Requirements quality critique dimensions for peer review - confirmation bias detection, completeness validation, clarity checks, testability assessment, and priority validation

nw-pdr-review-criteria

322
from nWave-ai/nWave

Evidence quality validation and decision gate criteria for product discovery reviews

nw-dr-review-criteria

322
from nWave-ai/nWave

Critique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviews

nw-diverger-review-criteria

322
from nWave-ai/nWave

Review criteria for the nw-diverger-reviewer — validates JTBD rigor, research quality, option diversity, taste application correctness, and recommendation coherence in DIVERGE wave artifacts