nature-paper-card

nature-paper-card is a Literature review & citations skill for AI agents, published by Yuan1z0825 in the nature-skills repository on GitHub. Skillspace rates nature-paper-card C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Build a source-grounded deep-reading Paper Card for one scientific paper, preprint, PDF, DOI, arXiv page, publisher article, or pasted paper text. Use when the user asks for a Paper Card, deep-reading literature card, single-paper deep analysis, module-by-module analysis, experiment-to-claim evidence chain, conclusion-boundary audit, critical analysis, knowledge connections, or candidate research ideas. Produce the fixed Sections 01-16 covering bibliographic position, research question, background route, pain point, core insight, method and module logic, essential formulas, experiment-to-claim evidence, conclusion boundaries, author-stated limitations, critical analysis, learned knowledge, knowledge connections, and testable research ideas. Do not use for full-paper bilingual translation, formal peer-review reports, batch literature monitoring, academic-English collection, comprehension quizzes, or public-article writing.

Grade

C

Quality

71 / 100

Safety

Passed

GitHub stars

41,237

Unproven: rated by static analysis only, not yet compared head-to-head.

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