Habilidades nature-statistics

📦

nature-statistics

Name: nature-statistics
Author: yuan1z0825

Revisão do conteúdo r1 Seguro 📁 Acesso ao sistema de arquivos⚙️ 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.

Suporta: Claude Codex Code(CC)

🥉 78 Bronze

Instalar com meu Agente

Copie esta solicitação para o seu Agente. Ela inclui a página canônica do Skill e o manifesto.

Solicitação do 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.

Seu Agente ainda deve apresentar o plano e solicitar qualquer confirmação exigida pela política de segurança.

Recursos legíveis por agentes

Use estes links quando um agente de IA, crawler ou script precisar de contexto limpo em vez de ler a página completa.

Detalhe em Markdown GET /skills/yuan1z0825-nature-statistics.md manifest assinado GET /api/skills/yuan1z0825-nature-statistics/manifest lockfile assinado GET /api/skills/yuan1z0825-nature-statistics/lockfile

Testar

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.

Auditoria de segurança

Seguro

v2 • 18/08/2026 Abrir o relatório 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.

Arquivos analisados

815

Linhas analisadas

Itens de revisão

Falsos positivos ignorados

Itens de revisão de capacidade (5)

Estas são capacidades locais reais que podem ser esperadas para esta habilidade, portanto exigem revisão, mas não são contabilizadas como comportamento 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.

Fatores de risco

📁 Acesso ao sistema de arquivos (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 histórico de auditoria →

Compartilhar e citar este relatório

Compartilhe o relatório de avaliação versionado, o badge neutro, o cartão incorporável e as citações. A Skillstore apresenta evidências sem decidir se este Skill é seguro.

Abrir o relatório versionado

Copiar link do relatório

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>

Cartão incorporável

<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>

Citações acadêmicas (APA · BibTeX · CFF)

Citação APA

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

Citação 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"

Pontuação do Skillstore

Por que esta pontuação Confiança das evidências: Médio

Arquitetura

Manutenibilidade

Conteúdo

Comunidade

Conformidade com a especificação

O que você pode criar

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.

Teste estes 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]

Boas práticas

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.