Fähigkeiten nature-statistics

📦

nature-statistics

Name: nature-statistics
Author: yuan1z0825

Inhaltsrevision r1 Sicher 📁 Dateisystemzugriff⚙️ Externe Befehle

Audit Statistical Reporting for Nature Journals

Manuscripts often omit design details or overstate statistical evidence. This skill audits reporting and drafts precise revisions without inventing missing facts.

Unterstützt: Claude Codex Code(CC)

🥉 78 Bronze

Mit meinem Agent installieren

Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.

Agent-Anfrage

Review the Skillstore skill "nature-statistics" from https://skillstore.io/skills/yuan1z0825-nature-statistics.md and its manifest at https://skillstore.io/api/skills/yuan1z0825-nature-statistics/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.

Markdown-Detailseite GET /skills/yuan1z0825-nature-statistics.md Signiertes manifest GET /api/skills/yuan1z0825-nature-statistics/manifest Signiertes lockfile GET /api/skills/yuan1z0825-nature-statistics/lockfile

Testen

„nature-statistics“ wird verwendet. Audit a methods paragraph that reports t-tests and n values without defining the experimental unit.

Erwartetes Ergebnis:

Major issue: the experimental unit is undefined, so n may represent technical observations. Provide the unit and replicate hierarchy before selecting a final test.

„nature-statistics“ wird verwendet. Rewrite a figure legend with error bars, star notation, and no correction method.

Erwartetes Ergebnis:

Revised legend: Data show mean and 95% confidence interval. n denotes independent animals. Exact p values use the stated corrected comparison.

Sicherheitsaudit

Sicher

v2 • 18.8.2026 Versionsbericht öffnen

Five parent-directory references direct the agent beyond the audited skill bundle to unaudited sibling files. The command and reconnaissance detections are markdown or statistical guidance, while the entropy alert is readable Chinese documentation. No prompt injection, executable command, network action, or obfuscated payload was found in the reviewed files.

Gescannte Dateien

815

Analysierte Zeilen

Prüfelemente

Falschmeldungen ignoriert

Elemente der Fähigkeitsprüfung (5)

Dies sind echte lokale Fähigkeiten, die für diese Fähigkeit erwartet werden können; daher müssen sie überprüft werden, werden jedoch nicht als bestätigtes bösartiges Verhalten gezählt.

Hoch

manifest.yaml:23

Path traversal sequence

path: ../nature-shared/journal-formats/nature-machine-intelligence.md

The on-demand path deliberately resolves outside the audited skill directory. Its fixed target limits scope, but unaudited sibling content can influence agent behavior.

Hoch

manifest.yaml:31

Path traversal sequence

path: ../nature-shared/core/consistency-sweep.md

The manifest loads a consistency guide through a parent-directory path outside the audited bundle. This bypasses package-local content boundaries.

Hoch

SKILL.md:46

Path traversal sequence

`../nature-shared/journal-formats/nature-machine-intelligence.md` for its

The workflow explicitly directs the agent to read a parent-directory file outside the audited skill bundle. That content was not included in this audit.

Hoch

SKILL.md:108

Path traversal sequence

| [../nature-shared/journal-formats/nature-machine-intelligence.md](../nature-shared/journal-formats

The related-files table links outside the skill root to an unaudited sibling guide. Opening it crosses the audited package boundary.

Hoch

SKILL.md:113

Path traversal sequence

| [../nature-shared/core/consistency-sweep.md](../nature-shared/core/consistency-sweep.md) | The sam

The documentation instructs access to a parent-directory consistency guide. The fixed path reduces traversal scope but still imports unaudited instructions.

Risikofaktoren

📁 Dateisystemzugriff (5)

manifest.yaml:23 manifest.yaml:31 SKILL.md:46 SKILL.md:108 SKILL.md:113

⚙️ Externe Befehle (15)

SKILL.md:15 SKILL.md:17 SKILL.md:38 SKILL.md:40 SKILL.md:41 SKILL.md:43 SKILL.md:46 SKILL.md:48 SKILL.md:50 SKILL.md:56-77 SKILL.md:77-81 SKILL.md:81-91 SKILL.md:91-97 SKILL.md:97-113 SKILL.md:113

Geprüft von: codex Audit-Verlauf anzeigen →

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.

Versionsbericht öffnen

Berichtslink kopieren

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

Markdown-Badge

[![Skillstore security assessment](https://skillstore.io/badges/skills/yuan1z0825-nature-statistics/security.svg)](https://skillstore.io/skills/yuan1z0825-nature-statistics?utm_source=security_passport_badge)

HTML-Badge

<a href="https://skillstore.io/skills/yuan1z0825-nature-statistics?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/yuan1z0825-nature-statistics/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Einbettungskarte

<iframe src="https://skillstore.io/embed/skills/yuan1z0825-nature-statistics.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-statistics security audit report (audit version 2) [Author version unspecified]. Skillstore. https://skillstore.io/skills/yuan1z0825-nature-statistics/audits/2

BibTeX-Zitat

@techreport{yuan1z0825-yuan1z0825-nature-statistics-2026,
  author = {yuan1z0825},
  title = {nature-statistics security audit report (audit version 2)},
  institution = {Skillstore},
  year = {2026},
  number = {2},
  url = {https://skillstore.io/skills/yuan1z0825-nature-statistics/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-statistics 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-statistics/audits/2"
identifiers:
  - type: other
    value: "skillstore:yuan1z0825-nature-statistics:audit:2"
    description: "Skillstore immutable audit report identifier"

Skillstore-Score

Warum dieser Score Evidenzvertrauen: Mittel

Architektur

Wartbarkeit

Inhalt

Gemeinschaft

Spezifikationskonformität

Was Sie erstellen können

Prepare a journal submission

Audit Methods, Results, and legends, then produce conservative revisions and a list of missing author facts.

Assess statistical reporting

Identify unsupported claims, unclear replication, incomplete tests, and reporting gaps before editorial decisions.

Standardize manuscript support

Apply a repeatable checklist across research groups and draft focused questions for authors.

Diese Prompts ausprobieren

Review a methods section

Audit this Statistical analysis section for missing details. Mark uncertain facts as AUTHOR_INPUT_NEEDED and provide a revised version: [paste text]

Check a figure legend

Check this figure legend for independent n, replication, error bars, tests, corrections, and exact p-value reporting: [paste legend]

Answer a reviewer

Analyze this reviewer comment and manuscript excerpt. List required statistical changes, draft revised wording, and prepare a conservative response: [paste materials]

Run a consistency audit

Cross-check these Methods, Results, legends, and tables for statistical consistency. Map each claim to evidence and rank unresolved issues: [paste sections]

Bewährte Praktiken

Provide the Methods, Results, legends, and relevant reviewer comments together when possible.
State the experimental unit, replicate structure, group sizes, exclusions, and correction strategy.
Confirm every proposed revision against actual analyses before manuscript submission.

Vermeiden

Do not ask the skill to invent missing sample sizes, tests, or p values.
Do not treat cells, images, or technical repeats as independent units without design evidence.
Do not use wording improvements as proof that the underlying analysis is valid.