Agent skill · Testing & QA

paper-review

Guides self-review of YOUR OWN academic paper before submission with adversarial stress-testing. Core method: 5-aspect checklist (contribution sufficiency, writing clarity, results quality, testing completeness, method design), counterintuitive protocol (reject-first simulation, delete unsupported claims, score trust, promote limitations, attack novelty), reverse-outlining, and figure/table quality checks. Use when: user wants to self-review or self-check their own paper draft before submission, stress-test their claims, prepare for reviewer criticism, or mentions 'self-review', 'check my draf

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-coderead-onlyNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill paper-review --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 10 KB
Bundled scripts: none
Version: 1.0.0
Declared author: EvoScientist
Allowed tools: read_fileedit_filewrite_filethink_tool
Path: skills/evoskills/paper-review/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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: 1. **Adversarial review**: Read your own paper as a critical r

What's inside
Steps it walks through
  1. When to Use This Skill
  2. Prerequisites
  3. The Perfectionist Approach
  4. Counterintuitive Review Protocol
  5. 5-Aspect Self-Review Checklist
  6. Aspect 1: Contribution Sufficiency
  7. Aspect 2: Writing Clarity
  8. Aspect 3: Experimental Results Quality
  9. Aspect 4: Experimental Testing Completeness
  10. Aspect 5: Method Design Issues
  11. Critical Reminder: Claims Must Have Support
  12. Reverse-Outlining Technique
  13. Figure and Table Quality Checklist
  14. Figures
More from awesome-bio-agent-skills
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About this skill
What does the paper-review skill do?

Guides self-review of YOUR OWN academic paper before submission with adversarial stress-testing. Core method: 5-aspect checklist (contribution sufficiency, writing clarity, results quality, testing completeness, method design), counterintuitive protocol (reject-first simulation, delete unsupported claims, score trust, promote limitations, attack novelty), reverse-outlining, and figure/table quality checks. Use when: user wants to self-review or self-check their own paper draft before submission, stress-test their claims, prepare for reviewer criticism, or mentions 'self-review', 'check my draf

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill paper-review --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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