Compétences nature-statistics

📦

nature-statistics

Name: nature-statistics
Author: yuan1z0825

Révision du contenu r1 Sûr 📁 Accès au système de fichiers⚙️ Commandes externes

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.

Prend en charge: Claude Codex Code(CC)

🥉 78 Bronze

Maintain this Skill? Claim it 🥉 78 Bronze

Installer avec mon Agent

Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.

Demande d’agent

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.

Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.

Ressources lisibles par les agents

Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.

Détail Markdown GET /skills/yuan1z0825-nature-statistics.md manifest signé GET /api/skills/yuan1z0825-nature-statistics/manifest lockfile signé GET /api/skills/yuan1z0825-nature-statistics/lockfile

Tester

Utilisation de « nature-statistics ». Audit a methods paragraph that reports t-tests and n values without defining the experimental unit.

Résultat attendu:

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

Utilisation de « nature-statistics ». Rewrite a figure legend with error bars, star notation, and no correction method.

Résultat attendu:

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

Audit de sécurité

Sûr

v2 • 18/08/2026 Ouvrir le rapport versionné

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.

Fichiers analysés

815

Lignes analysées

Éléments à examiner

Faux positifs ignorés

Éléments d’évaluation des capacités (5)

Il s’agit de capacités locales réelles qui peuvent être attendues pour cette compétence ; elles nécessitent donc un examen, mais ne sont pas comptabilisées comme comportement malveillant confirmé.

Élevé

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.

Élevé

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.

Élevé

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.

Élevé

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.

Élevé

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.

Facteurs de risque

📁 Accès au système de fichiers (5)

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

⚙️ Commandes externes (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

Audité par: codex Voir l’historique des audits →

Partager et citer ce rapport

Partagez le rapport d’évaluation versionné, le badge neutre, la carte intégrable et les citations. Skillstore présente les preuves sans décider si ce Skill est sûr.

Ouvrir le rapport versionné

Copier le lien du rapport

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

Badge Markdown

[![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)

Badge HTML

<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>

Carte intégrable

<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>

Citations académiques (APA · BibTeX · CFF)

Citation APA

yuan1z0825. (2026). nature-statistics security audit report (audit version 2) [Author version unspecified]. Skillstore. https://skillstore.io/skills/yuan1z0825-nature-statistics/audits/2

Citation BibTeX

@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"

Score Skillstore

Pourquoi ce score Niveau de confiance des preuves: Moyen

Architecture

Maintenabilité

Contenu

Communauté

Conformité aux spécifications

Ce que vous pouvez créer

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.

Essayez ces prompts

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]

Bonnes pratiques

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.

Éviter

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.