Awesome-Agent-Skills-for-Empirical-Research review-paper
Comprehensive manuscript review covering argument structure, econometric specification, citation completeness, and potential referee objections
install
source · Clone the upstream repo
git clone https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/28-maxwell2732-paper-replicate-agent-demo/dot-claude/skills/review-paper" ~/.claude/skills/brycewang-stanford-awesome-agent-skills-for-empirical-research-review-paper-16305a && rm -rf "$T"
manifest:
skills/28-maxwell2732-paper-replicate-agent-demo/dot-claude/skills/review-paper/SKILL.mdsource content
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).
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Generate 3-5 "referee objections" — the tough questions a top referee would ask.
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Produce the review report.
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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.