Навыки nature-statistics

📦

nature-statistics

Name: nature-statistics
Author: yuan1z0825

Ревизия содержимого r1 Безопасно 📁 Доступ к файловой системе⚙️ Внешние команды

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.

Поддерживает: Claude Codex Code(CC)

🥉 78 Бронза

Установить с помощью моего Агента

Скопируйте этот запрос в своего Агента. Он содержит каноническую страницу Skill и манифест.

Запрос агента

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.

Ваш Агент по-прежнему должен показать план и запросить все подтверждения, требуемые политикой безопасности.

Ресурсы для AI-агентов

Используйте эти ссылки, когда AI-агенту, crawler или script нужен чистый контекст вместо полной страницы.

Markdown-детали GET /skills/yuan1z0825-nature-statistics.md Подписанный manifest GET /api/skills/yuan1z0825-nature-statistics/manifest Подписанный lockfile GET /api/skills/yuan1z0825-nature-statistics/lockfile

Протестировать

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

Ожидаемый результат:

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

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

Ожидаемый результат:

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

Аудит безопасности

Безопасно

v2 • 18.08.2026 Открыть версионный отчет

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.

Просканировано файлов

815

Проанализировано строк

Пункты проверки

Ложные срабатывания проигнорированы

Пункты проверки возможностей (5)

Это реальные локальные возможности, которые могут ожидаться для этого навыка, поэтому они требуют проверки, но не считаются подтверждённым вредоносным поведением.

Высокий

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.

Высокий

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.

Высокий

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.

Высокий

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.

Высокий

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.

Факторы риска

📁 Доступ к файловой системе (5)

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

⚙️ Внешние команды (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

Аудитор:: codex Посмотреть историю аудитов →

Поделиться и цитировать этот отчет

Делитесь версионным отчетом об оценке, нейтральным значком, встраиваемой карточкой и цитатами. Skillstore публикует доказательства, не решая, безопасен ли этот Skill.

Открыть версионный отчет

Копировать ссылку на отчёт

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

Значок 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)

Значок 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>

Встраиваемая карточка

<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>

Академические ссылки (APA · BibTeX · CFF)

Цитата APA

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

Цитата 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"

Оценка Skillstore

Почему такая оценка Достоверность доказательств: Средний

Архитектура

Сопровождаемость

Контент

Сообщество

Соответствие спецификации

Что вы можете построить

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.

Попробуйте эти промпты

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]

Лучшие практики

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.

Избегать

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.