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.
Mit meinem Agent installieren
Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.
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.Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.
Agent-lesbare Ressourcen
Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.
Testen
„nature-paper-card“ wird verwendet. A complete PDF describing a new machine learning method with ablation studies.
Erwartetes Ergebnis:
A 16-section Markdown card traces the method, formulas, baselines, ablations, and reported gains to specific paper locations.
„nature-paper-card“ wird verwendet. An abstract and bibliographic metadata for a clinical study.
Erwartetes Ergebnis:
A source-limited card summarizes the stated question and result while marking unseen methods, tables, limitations, and causal claims as not assessable.
„nature-paper-card“ wird verwendet. A source map for a paper with missing page locators and several figures.
Erwartetes Ergebnis:
A structure-grounded card cites stable sections and figure identifiers without inventing page numbers, then records locator limitations in the evidence status.
Sicherheitsaudit
SicherAll 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.
Risikofaktoren
📁 Dateisystemzugriff (6)
⚙️ Externe Befehle (38)
Diesen Bericht teilen & zitieren
Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.
Berichtslink kopieren
https://skillstore.io/skills/yuan1z0825-nature-paper-card/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown-Badge
[](https://skillstore.io/skills/yuan1z0825-nature-paper-card?utm_source=security_passport_badge)HTML-Badge
<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>Einbettungskarte
<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>Wissenschaftliche Zitate (APA · BibTeX · CFF)
APA-Zitat
yuan1z0825. (2026). nature-paper-card security audit report (audit version 2) [Author version unspecified]. Skillstore. https://skillstore.io/skills/yuan1z0825-nature-paper-card/audits/2BibTeX-Zitat
@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"
Skillstore-Score
Warum dieser Score Evidenzvertrauen: MittelWas Sie erstellen können
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.
Diese Prompts ausprobieren
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.
Bewährte Praktiken
- 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.
Vermeiden
- 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.
Häufig gestellte Fragen
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?
Entwicklerdetails
Autor
yuan1z0825Lizenz
MIT
Skillstore-Revision
r1
Versionshinweis
Der Autor hat keine Version angegeben.
Ref.
e22f0e5c175a84e01097fa734ec2a74420c14771
Aktualität der Wartung
19.8.2026
Nutzung
0 Downloads · 0 Aufrufe