nature-paper-card
Analyze One Scientific Paper as an Evidence Card
Scientific papers are difficult to evaluate when claims, methods, and evidence are scattered across sections. This skill creates a structured, traceable Paper Card with explicit limits.
Установить с помощью моего Агента
Скопируйте этот запрос в своего Агента. Он содержит каноническую страницу Skill и манифест.
Review the Skillstore skill "nature-paper-card" from https://skillstore.io/skills/yuan1z0825-nature-paper-card.md and its manifest at https://skillstore.io/api/skills/yuan1z0825-nature-paper-card/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Ваш Агент по-прежнему должен показать план и запросить все подтверждения, требуемые политикой безопасности.
Ресурсы для AI-агентов
Используйте эти ссылки, когда AI-агенту, crawler или script нужен чистый контекст вместо полной страницы.
Протестировать
Использование «nature-paper-card». A complete PDF describing a new machine learning method with ablation studies.
Ожидаемый результат:
A 16-section Markdown card traces the method, formulas, baselines, ablations, and reported gains to specific paper locations.
Использование «nature-paper-card». An abstract and bibliographic metadata for a clinical study.
Ожидаемый результат:
A source-limited card summarizes the stated question and result while marking unseen methods, tables, limitations, and causal claims as not assessable.
Использование «nature-paper-card». A source map for a paper with missing page locators and several figures.
Ожидаемый результат:
A structure-grounded card cites stable sections and figure identifiers without inventing page numbers, then records locator limitations in the evidence status.
Аудит безопасности
БезопасноAll 72 static findings are false positives after contextual review. Markdown backticks were misread as shell execution, Chinese text escapes as obfuscation, and documentation or test fixtures as unsafe filesystem or reconnaissance behavior. No prompt injection, data exfiltration, or malicious command construction was found.
Факторы риска
📁 Доступ к файловой системе (6)
⚙️ Внешние команды (38)
Поделиться и цитировать этот отчет
Делитесь версионным отчетом об оценке, нейтральным значком, встраиваемой карточкой и цитатами. Skillstore публикует доказательства, не решая, безопасен ли этот Skill.
Копировать ссылку на отчёт
https://skillstore.io/skills/yuan1z0825-nature-paper-card/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportЗначок Markdown
[](https://skillstore.io/skills/yuan1z0825-nature-paper-card?utm_source=security_passport_badge)Значок HTML
<a href="https://skillstore.io/skills/yuan1z0825-nature-paper-card?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/yuan1z0825-nature-paper-card/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Встраиваемая карточка
<iframe src="https://skillstore.io/embed/skills/yuan1z0825-nature-paper-card.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Академические ссылки (APA · BibTeX · CFF)
Цитата APA
yuan1z0825. (2026). nature-paper-card security audit report (audit version 2) [Author version unspecified]. Skillstore. https://skillstore.io/skills/yuan1z0825-nature-paper-card/audits/2Цитата BibTeX
@techreport{yuan1z0825-yuan1z0825-nature-paper-card-2026,
author = {yuan1z0825},
title = {nature-paper-card security audit report (audit version 2)},
institution = {Skillstore},
year = {2026},
number = {2},
url = {https://skillstore.io/skills/yuan1z0825-nature-paper-card/audits/2},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "nature-paper-card security audit report (audit version 2)"
version: "unspecified"
type: report
authors:
- name: "yuan1z0825"
date-released: "2026-08-18"
url: "https://skillstore.io/skills/yuan1z0825-nature-paper-card/audits/2"
identifiers:
- type: other
value: "skillstore:yuan1z0825-nature-paper-card:audit:2"
description: "Skillstore immutable audit report identifier"
Оценка Skillstore
Почему такая оценка Достоверность доказательств: СреднийЧто вы можете построить
Deep Reading for Study
Turn one assigned paper into structured notes with methods, evidence, limitations, and reusable concepts.
Evidence Review for Research
Trace each major claim to experiments, figures, tables, formulas, and bounded conclusions.
Paper Screening for Teams
Create a consistent card that helps a research team compare a paper with current project needs.
Попробуйте эти промпты
Create a Paper Card for this attached PDF. Use only the supplied paper, cite evidence locations, and mark unsupported sections as not assessable.
Analyze this DOI or arXiv paper as a Paper Card. Verify bibliographic details, explain the method, and connect each central claim to evidence.
Build a Paper Card focused on the experiment-to-claim chain. Separate author claims from supported conclusions, alternative explanations, limitations, and missing controls.
Treat this paper as methods-primary and resource-secondary. Audit both contribution types, preserve the fixed sections, and propose testable ideas with failure conditions.
Лучшие практики
- Provide the full paper, figures, tables, and supplements when available.
- State whether external verification is allowed for history, bibliography, or novelty checks.
- Review numerical results and scientific interpretations against the original source before reuse.
Избегать
- Do not request unsupported conclusions from an abstract-only source.
- Do not treat author novelty claims as independent prior-art verification.
- Do not use this skill for batch monitoring, full translation, or formal peer review.
Часто задаваемые вопросы
What inputs can this skill analyze?
Does it summarize several papers together?
Can it work from an abstract only?
Does it verify novelty claims?
What files does it produce?
Does the automated audit prove scientific correctness?
Сведения для разработчиков
Автор
yuan1z0825Лицензия
MIT
Ревизия Skillstore
r1
Примечание о версии
Автор не указал версию.
Ссылка
e22f0e5c175a84e01097fa734ec2a74420c14771
Актуальность поддержки
19.08.2026
Использование
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