Critique Dimensions for Research Review

SkillDocs & knowledge

Critique dimensions and scoring for research document reviews

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Critique Dimensions for Research Review skill

What this skill tells your AI

The instructions your AI receives, as published by nwave-ai/nwave in nWave/skills/nw-rr-critique-dimensions/SKILL.md and read by ahel’s review.

Load when reviewing research documents. Apply each dimension systematically.

Dimension 1: Source Selection Bias

Check: contradictory viewpoints included? | Multiple organizations/authors/perspectives? | Geographic/temporal diversity? | Sources truly independent (not circular)?

Flags: 60%+ from single org/author -> critical | All supporting same conclusion without counterpoint -> critical | Single geographic region -> medium | Clustered publication dates -> medium

Dimension 2: Evidence Quality

Check: every major claim cited | sources reputable (peer-reviewed, official, established) | primary over secondary | technical sources recent (5 years) | confidence matches evidence

Flags: uncited claim -> high | blog/forum for factual claim -> high | all secondary sources -> medium | sources >5 years for tech -> medium | high confidence with 1-2 sources -> high

Dimension 3: Replicability

Check: search strategy documented | source selection criteria explicit | methodology transparent | confidence levels with rationale

Flags: no methodology section -> high | vague methodology ("searched the web") -> medium | no confidence ratings -> medium

Dimension 4: Priority Validation

For research driving architectural/strategic decisions.

Q1: Is this the largest bottleneck? (timing/measurement data?) | Q2: Simpler alternatives considered and rejected with evidence? | Q3: Constraint prioritization correct? (>50% solution for <30% problem = flag) | Q4: Key decision data-justified?

Flags: secondary concern addressed while larger exists -> critical | no measurement data for performance -> high | alternatives not documented -> high | prioritization not explicit -> medium

Output template:

priority_validation:
  q1_largest_bottleneck:
    evidence: "{timing data or 'NOT PROVIDED'}"
    assessment: "YES|NO|UNCLEAR"
  q2_simple_alternatives:
    assessment: "ADEQUATE|INADEQUATE|MISSING"
  q3_constraint_prioritization:
    minority_constraint_dominating: "YES|NO"
    assessment: "CORRECT|INVERTED|NOT_ANALYZED"
  q4_data_justified:
    assessment: "JUSTIFIED|UNJUSTIFIED|NO_DATA"
  verdict: "PASS|FAIL"

Dimension 5: Completeness

Check: knowledge gaps documented (what searched, why insufficient) | conflicting info acknowledged with credibility analysis | all required sections present (summary, findings, sources, gaps, citations) | research metadata included

Flags: missing gaps section when gaps exist -> critical | conflicting sources unacknowledged -> high | missing required sections -> high | no metadata -> medium

Review Output Template

review_id: "research_rev_{timestamp}"
reviewer: "nw-researcher-reviewer (Scholar)"

issues_identified:
  source_bias:
    - issue: "{specific description with numbers}"
      severity: "critical|high|medium"
      recommendation: "{actionable fix}"
  evidence_quality:
    - issue: "{specific claim or location}"
      severity: "critical|high|medium"
      recommendation: "{actionable fix}"
  replicability:
    - issue: "{what is missing}"
      severity: "critical|high|medium"
      recommendation: "{actionable fix}"
  priority_validation:
    - issue: "{mismatch description}"
      severity: "critical|high|medium"
      recommendation: "{actionable fix}"
  completeness:
    - issue: "{missing element}"
      severity: "critical|high|medium"
      recommendation: "{actionable fix}"

quality_scores:
  source_bias: 0.00
  evidence_quality: 0.00
  replicability: 0.00
  completeness: 0.00
  priority_validation: 0.00

approval_status: "approved|rejected_pending_revisions"
blocking_issues:
  - "{critical issue 1}"
iteration: 1
max_iterations: 2

Signals

GitHub stars
610
Forks
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Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
nw-rr-critique-dimensions
Source
github.com/nwave-ai/nwave