Habilidades nature-statistics

📦

nature-statistics

Name: nature-statistics
Author: yuan1z0825

Revisión del contenido r1 Seguro 📁 Acceso al sistema de archivos⚙️ Comandos externos

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.

Compatible con: Claude Codex Code(CC)

🥉 78 Bronce

Instalar con mi Agente

Copia esta solicitud en tu Agente. Incluye la página canónica del Skill y el manifiesto.

Solicitud de agente

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.

Tu Agente debe seguir mostrando su plan y solicitar cualquier confirmación exigida por la política de seguridad.

Recursos legibles por agentes

Usa estos enlaces cuando un agente de IA, crawler o script necesite contexto limpio en vez de leer la página completa.

Detalle Markdown GET /skills/yuan1z0825-nature-statistics.md Manifest firmado GET /api/skills/yuan1z0825-nature-statistics/manifest Lockfile firmado GET /api/skills/yuan1z0825-nature-statistics/lockfile

Pruébalo

Usando "nature-statistics". Audit a methods paragraph that reports t-tests and n values without defining the experimental unit.

Resultado esperado:

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

Usando "nature-statistics". Rewrite a figure legend with error bars, star notation, and no correction method.

Resultado esperado:

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

Auditoría de seguridad

Seguro

v2 • 18/8/2026 Abrir el informe versionado

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.

Archivos escaneados

815

Líneas analizadas

Elementos de revisión

Falsos positivos ignorados

Elementos de revisión de capacidades (5)

Estas son capacidades locales reales que pueden esperarse para esta habilidad, por lo que requieren revisión, pero no se cuentan como comportamiento malicioso confirmado.

Alto

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.

Alto

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.

Alto

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.

Alto

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.

Alto

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.

Factores de riesgo

📁 Acceso al sistema de archivos (5)

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

⚙️ Comandos externos (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

Auditado por: codex Ver historial de auditorías →

Compartir y citar este informe

Comparte el informe de evaluación versionado, la insignia neutral, la tarjeta insertable y las citas. Skillstore presenta evidencias sin decidir si este Skill es seguro.

Abrir el informe versionado

Copiar enlace del informe

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

Insignia 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)

Insignia 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>

Tarjeta para insertar

<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>

Citas académicas (APA · BibTeX · CFF)

Cita APA

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

Cita 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"

Puntuación de Skillstore

Por qué esta puntuación Confianza de la evidencia: Medio

Arquitectura

Mantenibilidad

Contenido

Comunidad

Cumplimiento de la especificación

Lo que puedes crear

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.

Prueba estos 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]

Mejores prácticas

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.

Evitar

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.