/review

Review research artifacts and produce structured scores, weaknesses, and improvement plans.

77|16|Updated May 9, 2026
One-click install
npx skills add https://github.com/Lambenthan/empiricalwiki --skill review-lambenthan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: /review
Source: https://github.com/Lambenthan/empiricalwiki/tree/main/.claude/skills/review
Command: npx skills add https://github.com/Lambenthan/empiricalwiki --skill review-lambenthan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you catch weak reasoning, missing evidence, and unclear claims in any research artifact before they get baked into your wiki or experiments, by providing an independent, structured review.

Core Features & Use Cases

  • Cross-model research review: Reviews ideas, proposals, experiment plans, paper drafts, and claims with an overall score and verdict.
  • Structured, actionable feedback: Produces ranked weaknesses with concrete fixes, plus questions and prioritized action items.
  • Wiki entity mapping: Links review findings back to specific wiki entities (claims and knowledge gaps) so refinement work is targeted.
  • Difficulty & focus controls: Supports standard/hard/adversarial modes and method/evidence/writing/completeness focus to tailor scrutiny.

Quick Start

Run the /review skill on a wiki slug or a draft path to get a structured review report with entity mapping and a prioritized list of fixes.

Frequently Asked Questions about /review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get structured feedback on a research proposal draft?

Use an independent research review process to evaluate your proposal draft, which generates structured scores, identifies ranked weaknesses, and provides prioritized action items. This enforces experimental rigor by mapping findings to specific knowledge gaps and claims.

What is wiki entity mapping for claim verification?

Wiki entity mapping for claim verification is the process of linking review findings back to specific wiki entities like claims and knowledge gaps. This ensures that refinement work remains targeted and grounded in the existing knowledge base during research reviews.

Can I use adversarial evaluation to critique research methods?

Yes, you can apply adversarial evaluation modes to critique research methods. This scrutiny level applies stricter constraints to your experiment plans or paper drafts via cross-model verification references to catch weak reasoning and missing evidence.

Does the research review process work for experiment plans and paper drafts?

Yes, the research review process works for experiment plans, paper drafts, ideas, and claim text across empirical workflows. It produces an overall score and verdict while offering difficulty and focus controls tailored to the specific artifact being evaluated.

How do I find knowledge gaps in empirical research workflows?

Find knowledge gaps in empirical research workflows by retrieving relevant wiki context and mapping experimental findings to existing claims. An independent review then highlights missing evidence and weak reasoning to produce actionable improvement plans.