nature-reviewer-skills

About nature-reviewer-skills

Nature Reviewer Skills Domain-aware scientific reviewer skills for stress-testing a manuscript before journal reviewers do. Nature Reviewer Skills helps researchers find the weaknesses that matter most in high-level peer review: unsupported claims, incomplete evidence chains, weak controls, invalid generalization, unresolved alternative explanations, uncertainty gaps, and conclusions that exceed the data. It is not a grammar checker and not a generic “review my paper” prompt.

atmospheric-science chemistry climate-ecology codex-skills earth-system-science engineering hydrology manuscript-review materials-science nature-journal

Quick Facts

Stars	41
Forks	2
Language	Python
Category	Codex Skill
License	MIT
Quality Score	70.4699486478918/100
Last Updated	2026-09-23
Created	2026-06-29
Platforms	cli, codex, python
Est. Tokens	~16k

Compatible Skills

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Frequently Asked Questions

What is nature-reviewer-skills?

nature-reviewer-skills is Nature-style AI peer reviewer for scientific manuscripts.. It is categorized as a Codex Skill with 41 GitHub stars.

What programming language is nature-reviewer-skills written in?

nature-reviewer-skills is primarily written in Python. It covers topics such as atmospheric-science, chemistry, climate-ecology.

How do I install or use nature-reviewer-skills?

You can find installation instructions and usage details in the nature-reviewer-skills GitHub repository at github.com/GeoGeekLab/nature-reviewer-skills. The project has 41 stars and 2 forks, indicating an active community.

What license does nature-reviewer-skills use?

nature-reviewer-skills is released under the MIT license, making it free to use and modify according to the license terms.

View on GitHub → Browse Codex Skill tools