webask-ab-significance
Compare WebAsk A/B Survey Results
Small survey samples can make random differences look like meaningful improvements. This skill guides comparisons using outcome counts, percentage-point differences, and checks for comparable groups.
Установить с помощью моего Агента
Скопируйте этот запрос в своего Агента. Он содержит каноническую страницу Skill и манифест.
Review the Skillstore skill "webask-ab-significance" from https://skillstore.io/skills/webaskio-webask-ab-significance.md and its manifest at https://skillstore.io/api/skills/webaskio-webask-ab-significance/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.
Протестировать
Использование «webask-ab-significance». Compare contact submissions: A has 42 of 180, and B has 34 of 179. Both groups use the same period and source.
Ожидаемый результат:
- Variant A: 42 of 180 submitted contact details, or 23.3%.
- Variant B: 34 of 179 submitted contact details, or 19.0%.
- Observed difference: 4.3 percentage points in favor of A.
- These counts alone do not establish a reliable winner. A formal test and sample-size plan are needed before claiming significance.
Использование «webask-ab-significance». A completed 60 of 100 surveys last month from email traffic. B completed 75 of 100 this month from paid traffic.
Ожидаемый результат:
- Variant A: 60% completion. Variant B: 75% completion.
- Observed difference: 15 percentage points in favor of B.
- The periods and traffic sources differ, so the comparison cannot isolate the variant effect.
- Compare groups from the same period and traffic source before choosing a winner.
Аудит безопасности
БезопасноBoth static findings are false positives: README links provide repository navigation, and SKILL.md backticks format MCP tool names. No evidence found of prompt injection, unauthorized execution, or data exfiltration in the reviewed files. External MCP implementation behavior is outside this review.
Факторы риска
📁 Доступ к файловой системе (1)
⚙️ Внешние команды (1)
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.
Копировать ссылку на отчёт
https://skillstore.io/skills/webaskio-webask-ab-significance/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportЗначок Markdown
[](https://skillstore.io/skills/webaskio-webask-ab-significance?utm_source=security_passport_badge)Значок HTML
<a href="https://skillstore.io/skills/webaskio-webask-ab-significance?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/webaskio-webask-ab-significance/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Встраиваемая карточка
<iframe src="https://skillstore.io/embed/skills/webaskio-webask-ab-significance.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
webaskio. (2026). webask-ab-significance security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/webaskio-webask-ab-significance/audits/1Цитата BibTeX
@techreport{webaskio-webaskio-webask-ab-significance-2026,
author = {webaskio},
title = {webask-ab-significance security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/webaskio-webask-ab-significance/audits/1},
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: "webask-ab-significance security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "webaskio"
date-released: "2026-09-29"
url: "https://skillstore.io/skills/webaskio-webask-ab-significance/audits/1"
identifiers:
- type: other
value: "skillstore:webaskio-webask-ab-significance:audit:1"
description: "Skillstore immutable audit report identifier"
Оценка Skillstore
Почему такая оценка Достоверность доказательств: СреднийЧто вы можете построить
Compare survey completion
Compare completion counts and rates for two survey versions while checking observation periods and traffic sources.
Review contact collection
Compare contact submission rates across survey variants without selecting a winner from a small observed difference.
Assess experiment readiness
Review whether response counts and group comparability support a decision or require more data.
Попробуйте эти промпты
Compare variants A and B for WebAsk survey [survey]. Use survey completion as the success metric.
Compare contact submissions for variants [A] and [B] in survey [survey] during [period]. Show counts, denominators, rates, and percentage-point differences.
Review variants [A] and [B] for survey [survey]. Check periods, traffic sources, and sample sizes before interpreting [metric]. Identify missing information.
Assess whether survey [survey] supports choosing variant [A] or [B] for [metric]. Separate observed differences from statistical evidence. Explain sample-size assumptions and missing inputs.
Лучшие практики
- Define the success metric and denominator before reviewing variant results.
- Compare groups from the same period and traffic source, and retain the underlying counts.
- Use a prespecified statistical test and power calculation to validate decisions beyond the skill's sample-size heuristics.
Избегать
- Declaring a winner from a small percentage difference without considering sample size.
- Comparing variants from different periods or traffic sources as if the groups were equivalent.
- Repeatedly checking results and stopping as soon as the preferred variant leads.
Часто задаваемые вопросы
What data does the skill need?
Which tools does it use?
Does it calculate formal statistical significance?
Can it determine the exact sample size required?
Can it modify surveys or require an upgrade?
Which assistants and languages are supported?
Сведения для разработчиков
Автор
webaskioЛицензия
MIT
Ревизия Skillstore
r1
Примечание о версии
Автор не указал версию.
Ссылка
bad9dafc37d1638cd29cb9bab06d5f8dbcd0f6c2
Актуальность поддержки
30.09.2026
Использование
0 загрузок · 0 просмотров
Структура файлов