Review paper
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-paperAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
What its author says it does
Copied from the file, not written here
Comprehensive manuscript review covering argument structure, econometric specification, citation completeness, and potential referee objections
SKILL.md
4.4 KB, as published. Nobody here has run it
Manuscript Review
Produce a thorough, constructive review of an academic manuscript — the kind of report a top-journal referee would write.
Input: $ARGUMENTS — path to a paper (.tex, .pdf, or .qmd), or a filename in master_supporting_docs/.
Steps
-
Locate and read the manuscript. Check:
- Direct path from
$ARGUMENTS master_supporting_docs/supporting_papers/$ARGUMENTS- Glob for partial matches
- Direct path from
-
Read the full paper end-to-end. For long PDFs, read in chunks (5 pages at a time).
-
Evaluate across 6 dimensions (see below).
-
Generate 3-5 "referee objections" — the tough questions a top referee would ask.
-
Produce the review report.
-
Save to
quality_reports/paper_review_[sanitized_name].md
Review Dimensions
1. Argument Structure
- Is the research question clearly stated?
- Does the introduction motivate the question effectively?
- Is the logical flow sound (question → method → results → conclusion)?
- Are the conclusions supported by the evidence?
- Are limitations acknowledged?
2. Identification Strategy
- Is the causal claim credible?
- What are the key identifying assumptions? Are they stated explicitly?
- Are there threats to identification (omitted variables, reverse causality, measurement error)?
- Are robustness checks adequate?
- Is the estimator appropriate for the research design?
3. Econometric Specification
- Correct standard errors (clustered? robust? bootstrap?)?
- Appropriate functional form?
- Sample selection issues?
- Multiple testing concerns?
- Are point estimates economically meaningful (not just statistically significant)?
4. Literature Positioning
- Are the key papers cited?
- Is prior work characterized accurately?
- Is the contribution clearly differentiated from existing work?
- Any missing citations that a referee would flag?
5. Writing Quality
- Clarity and concision
- Academic tone
- Consistent notation throughout
- Abstract effectively summarizes the paper
- Tables and figures are self-contained (clear labels, notes, sources)
6. Presentation
- Are tables and figures well-designed?
- Is notation consistent throughout?
- Are there any typos, grammatical errors, or formatting issues?
- Is the paper the right length for the contribution?
Output Format
# Manuscript Review: [Paper Title]
**Date:** [YYYY-MM-DD]
**Reviewer:** review-paper skill
**File:** [path to manuscript]
## Summary Assessment
**Overall recommendation:** [Strong Accept / Accept / Revise & Resubmit / Reject]
[2-3 paragraph summary: main contribution, strengths, and key concerns]
## Strengths
1. [Strength 1]
2. [Strength 2]
3. [Strength 3]
## Major Concerns
### MC1: [Title]
- **Dimension:** [Identification / Econometrics / Argument / Literature / Writing / Presentation]
- **Issue:** [Specific description]
- **Suggestion:** [How to address it]
- **Location:** [Section/page/table if applicable]
[Repeat for each major concern]
## Minor Concerns
### mc1: [Title]
- **Issue:** [Description]
- **Suggestion:** [Fix]
[Repeat]
## Referee Objections
These are the tough questions a top referee would likely raise:
### RO1: [Question]
**Why it matters:** [Why this could be fatal]
**How to address it:** [Suggested response or additional analysis]
[Repeat for 3-5 objections]
## Specific Comments
[Line-by-line or section-by-section comments, if any]
## Summary Statistics
| Dimension | Rating (1-5) |
|-----------|-------------|
| Argument Structure | [N] |
| Identification | [N] |
| Econometrics | [N] |
| Literature | [N] |
| Writing | [N] |
| Presentation | [N] |
| **Overall** | **[N]** |
Principles
- Be constructive. Every criticism should come with a suggestion.
- Be specific. Reference exact sections, equations, tables.
- Think like a referee at a top-5 journal. What would make them reject?
- Distinguish fatal flaws from minor issues. Not everything is equally important.
- Acknowledge what's done well. Good research deserves recognition.
- Do NOT fabricate details. If you can't read a section clearly, say so.