# Nw Rr Critique Dimensions

Critique dimensions and scoring for research document reviews

- Repository: https://github.com/nWave-ai/nWave (628 stars)
- Category: Writing
- License: MIT
- Last updated: 2026-09-16
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add nWave-ai/nWave --skill nw-rr-critique-dimensions -g -a claude-code -y`
Codex: `npx skills add nWave-ai/nWave --skill nw-rr-critique-dimensions -g -a codex -y`
Cursor: `npx skills add nWave-ai/nWave --skill nw-rr-critique-dimensions -g -a cursor -y`
Gemini CLI: `npx skills add nWave-ai/nWave --skill nw-rr-critique-dimensions -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add nWave-ai/nWave`

## Description

Critique dimensions and scoring for research document reviews

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Critique Dimensions for Research 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

The rest: https://github.com/nWave-ai/nWave/blob/HEAD/nWave/skills/nw-rr-critique-dimensions/SKILL.md