paper-review

安装量: 222
排名: #9262

安装

npx skills add https://github.com/evoscientist/evoskills --skill paper-review
Paper Review
A systematic approach to self-reviewing academic papers before submission. Covers a 5-aspect review checklist, reverse-outlining for structural clarity, figure/table quality checks, and rebuttal preparation.
When to Use This Skill
User wants to review or check a paper draft before submission
User asks for feedback on paper quality or completeness
User wants to prepare for potential reviewer criticism
User mentions "review paper", "check my draft", "self-review"
If the user has already received reviewer comments and needs to write a rebuttal, use the
paper-rebuttal
skill instead.
Prerequisites
Before starting review, confirm the
paper-writing
handoff checklist is satisfied: all sections drafted, claims anchored to evidence, limitation section present, figures finalized, and no unresolved
\todo{}
markers. If any item is incomplete, finish writing before reviewing.
The Perfectionist Approach
Strive for perfection: review your own paper, consider every question a reviewer might ask, and address them one by one.
The best defense against negative reviews is a thorough self-review:
Adversarial review
Read your own paper as a critical reviewer would
Seek advisor feedback
Ask your advisor to review — the more feedback, the better
Address everything
For every potential weakness you find, either fix it or prepare a defense
Counterintuitive Review Protocol
Run this protocol before final polishing:
Reject-first simulation
Force yourself to write a one-paragraph reject summary before writing any positive comments.
Delete one unsupported strong claim
If a strong claim lacks direct evidence, remove it instead of defending it.
Score trust, not only score gains
Papers with slightly lower gains but higher fairness and reproducibility often receive better review outcomes.
Promote one explicit limitation
Move one meaningful limitation from hidden notes into the paper; transparency can increase confidence.
Attack your novelty claim
Ask "Could a strong PhD derive this in one afternoon?" If yes, narrow and sharpen the novelty statement.
See
references/counterintuitive-review.md
5-Aspect Self-Review Checklist
Aspect 1: Contribution Sufficiency
The paper does not provide readers with new knowledge.
Ask these questions to evaluate whether the contribution is sufficient:
Are the failure cases common?
If the failure cases are frequent and obvious, reviewers may question whether the method is ready for publication.
Is the proposed technique well-explored?
If the technique is already widely studied, what new insight or improvement do we bring?
Is the improvement foreseeable / well-known?
If the improvement was predictable from combining known ideas, the novelty may be questioned.
Is the technique too straightforward?
A straightforward application of existing techniques may lack sufficient contribution.
Red flag
If "yes" to any of these, strengthen the contribution narrative or add more technical depth.
Aspect 2: Writing Clarity
Missing technical details, not reproducible; a method module lacks motivation.
Missing technical details?
Would a reader be able to reproduce the method from the paper alone?
Missing module motivation?
Does every module in the Method section explain
why
it exists, not just
what
it does?
Paragraph structure
Does each paragraph have a clear topic? Does the first sentence state the point?
Flow
Is the logical flow between paragraphs and sections smooth?
Terminology
Are terms used consistently throughout?
Red flag
If reproducibility is in doubt, add implementation details or supplementary material.
Aspect 3: Experimental Results Quality
Only slightly better than previous methods; or better than previous methods but still not good enough.
Marginal improvement?
If the improvement over SOTA is very small, is it statistically significant?
Absolute quality insufficient?
Even if better than baselines, is the output quality good enough for the application?
Visual quality
Do qualitative results look convincing? Are improvements visible?
Red flag
If improvements are marginal, emphasize other advantages (speed, generalizability, simplicity) or add more challenging test cases.
Aspect 4: Experimental Testing Completeness
Missing ablation studies; missing important baselines; missing important evaluation metrics; data too simple.
Missing ablation studies?
Is every core contribution ablated?
Missing important baselines?
Are recent SOTA methods included?
Missing evaluation metrics?
Are all standard metrics for this task reported?
Datasets too simple?
Do the benchmarks truly test the method's capabilities?
No failure case analysis?
Honest failure analysis increases credibility.
Red flag
Missing ablations or baselines is one of the most common reasons for rejection.
Aspect 5: Method Design Issues
Experimental setting is impractical; method has technical flaws; method is not robust; new method's costs outweigh its benefits.
Impractical experimental setting?
Are assumptions realistic for the intended use case?
Technical flaws?
Does the method have theoretical or conceptual weaknesses?
Not robust?
Does the method require per-scene hyperparameter tuning?
Benefit < Limitation?
Does the new module introduce limitations that outweigh its benefits?
Red flag
If the method requires significant tuning per scenario, add robustness experiments or acknowledge and address the limitation.
Critical Reminder: Claims Must Have Support
Every claim in the paper (especially in the Abstract and Introduction) must be correct and supported by experiments. Some reviewers will reject a paper directly for unsupported claims.
Go through every claim in the Abstract and Introduction. For each claim:
Is it factually correct?
Is there an experiment or analysis that supports it?
Is the supporting experiment clearly referenced?
An unsupported claim — especially in the Abstract or Introduction — can be grounds for rejection.
Reverse-Outlining Technique
Extract the writing plan from finished paragraphs and check whether the flow is smooth.
After writing a section (or the entire paper):
Read each paragraph
one at a time
Write down the main message
of each paragraph in one sentence
Read the sequence of messages
— does it flow logically?
Identify breaks
Where does the flow feel abrupt or illogical?
Fix
Reorganize paragraphs, add transitions, or split/merge paragraphs Apply this to: Introduction (check narrative flow) Method (check if modules are presented in logical order) Experiments (check if results are presented in a meaningful sequence) Figure and Table Quality Checklist Figures Pipeline figure highlights novelty (not just explanation) Pipeline figure looks distinct from prior work Teaser figure is compelling and self-contained All figures have clear captions Resolution is high enough for print Color-blind friendly (avoid red-green only distinctions) Figures are referenced in the text Tables Captions are above the table No vertical lines Using booktabs ( \toprule , \midrule , \bottomrule ) Best results highlighted (bold/color) Metric direction indicated (↑/↓) Captions describe setup/notation, not results All tables are referenced in the text Conclusion and Limitation Check Conclusion summarizes contributions and key results Limitation section is present (reviewers frequently flag its absence) Limitations are about task/setting scope (like future work), not technical defects Rule: "If our method does not fall below SOTA metrics, it is not a technical defect" Limitations are honest but not self-defeating Pre-Submission Final Checks All references are complete (no "?" or missing entries) Author information matches venue requirements Page count is within limits Supplementary material is properly referenced No TODO markers remain in the paper Acknowledgments section is appropriate No accidental double-blind violations (for anonymous review) All cited works have complete bibliographic entries (authors, title, venue, year) No self-citations that break anonymity (for double-blind venues) Key related works cited — missing a prominent baseline paper can trigger rejection Handoff to Rebuttal When reviews come back, use the paper-rebuttal skill for: Score diagnosis and review color-coding Champion strategy (arming your positive reviewer for discussion) 18 tactical rules for structure, content, and tone Counterintuitive rebuttal principles Your self-review artifacts (reject-first simulation, claim-evidence audit, prebuttal drafts from the counterintuitive protocol) feed directly into the rebuttal process. See references/review-checklist.md for an expanded version of the 5-aspect checklist with more detailed sub-questions. For adversarial stress testing and reject-risk thresholds, see references/counterintuitive-review.md .
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