Навыки nature-paper-card
📦

nature-paper-card

Ревизия содержимого r1 Безопасно 📁 Доступ к файловой системе⚙️ Внешние команды

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.

Поддерживает: Claude Codex Code(CC)
Maintain this Skill? Claim it 🥇 85 Золото

Установить с помощью моего Агента

Скопируйте этот запрос в своего Агента. Он содержит каноническую страницу Skill и манифест.

Запрос агента
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

Безопасно

All 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.

21
Просканировано файлов
2,051
Проанализировано строк
0
Пункты проверки
0
Ложные срабатывания проигнорированы
Последний завершенный статический и семантический аудит не обнаружил подтвержденных проблем безопасности. Это не доказывает отсутствие побочных эффектов у навыка.
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.

Открыть версионный отчет
Оценка безопасности

Копировать ссылку на отчёт

https://skillstore.io/skills/yuan1z0825-nature-paper-card/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Значок Markdown

[![Skillstore security assessment](https://skillstore.io/badges/skills/yuan1z0825-nature-paper-card/security.svg)](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/2

Цитата 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: Средний
82
Архитектура
85
Сопровождаемость
87
Контент
65
Сообщество
91
Соответствие спецификации

Что 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 Basic Paper Card
Create a Paper Card for this attached PDF. Use only the supplied paper, cite evidence locations, and mark unsupported sections as not assessable.
Analyze a Paper by Identifier
Analyze this DOI or arXiv paper as a Paper Card. Verify bibliographic details, explain the method, and connect each central claim to evidence.
Audit Claims and Boundaries
Build a Paper Card focused on the experiment-to-claim chain. Separate author claims from supported conclusions, alternative explanations, limitations, and missing controls.
Analyze a Hybrid Contribution
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?
It accepts one paper as a PDF, DOI, arXiv page, publisher article, source map, or pasted text.
Does it summarize several papers together?
No. It creates one deep-reading card for one paper and does not perform batch synthesis.
Can it work from an abstract only?
Yes. It creates a source-limited card and marks unseen methods, evidence, and limitations as not assessable.
Does it verify novelty claims?
Only when targeted external research is performed. Otherwise, novelty and field-history claims are clearly marked as unverified.
What files does it produce?
The main output is a Markdown Paper Card. PDF workflows also produce a source bundle and an audit report.
Does the automated audit prove scientific correctness?
No. It checks structure, source locators, and evidence coverage, while scientific interpretation still requires expert review.

Сведения для разработчиков

Автор

yuan1z0825

Лицензия

MIT

Ревизия Skillstore

r1

Примечание о версии

Автор не указал версию.

Ссылка

e22f0e5c175a84e01097fa734ec2a74420c14771

Актуальность поддержки

19.08.2026

Использование

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