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.
Installer avec mon Agent
Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.
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.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.
Tester
Utilisation de « 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.
Résultat attendu:
- 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.
Utilisation de « webask-ab-significance ». A completed 60 of 100 surveys last month from email traffic. B completed 75 of 100 this month from paid traffic.
Résultat attendu:
- 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.
Audit de sécurité
SûrBoth 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.
Facteurs de risque
📁 Accès au système de fichiers (1)
⚙️ Commandes externes (1)
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.
Copier le lien du rapport
https://skillstore.io/skills/webaskio-webask-ab-significance/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportBadge Markdown
[](https://skillstore.io/skills/webaskio-webask-ab-significance?utm_source=security_passport_badge)Badge 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>Carte intégrable
<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>Citations académiques (APA · BibTeX · CFF)
Citation 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/1Citation 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"
Score Skillstore
Pourquoi ce score Niveau de confiance des preuves: MoyenCe que vous pouvez créer
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.
Essayez ces prompts
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.
Bonnes pratiques
- 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.
Éviter
- 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.
Foire aux questions
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?
Détails du développeur
Auteur
webaskioLicence
MIT
Révision Skillstore
r1
Avis de version
L’auteur n’a déclaré aucune version.
Réf
bad9dafc37d1638cd29cb9bab06d5f8dbcd0f6c2
Récence de maintenance
30/09/2026
Utilisation
0 téléchargements · 0 vues
Structure de fichiers