webask-benchmark
Compare WebAsk Survey Results
Survey scores can mislead when questionnaire changes, sample sizes, and seasonal differences are ignored. This skill guides WebAsk comparisons using version history, response distributions, and shared survey metrics.
自分のエージェントでインストール
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
Review the Skillstore skill "webask-benchmark" from https://skillstore.io/skills/webaskio-webask-benchmark.md and its manifest at https://skillstore.io/api/skills/webaskio-webask-benchmark/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
エージェントが読めるリソース
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
テストする
「webask-benchmark」を使用しています。 Illustrative comparison: spring averaged 4.0 from 286 responses; autumn averaged 4.3 from 318 responses. The questionnaire was unchanged.
期待される結果:
- The average increased by 0.3 points, from 4.0 to 4.3.
- Spring had 286 responses; autumn had 318.
- No questionnaire changes were reported, but seasonal and audience differences still need consideration.
- These averages and counts alone do not establish statistical significance or explain the cause.
「webask-benchmark」を使用しています。 Illustrative comparison: two periods use different wording and response options for the satisfaction question.
期待される結果:
- The satisfaction answers are not directly comparable because the question and response options changed.
- Do not present the score difference as a satisfaction trend.
- Review shared operational metrics separately, with clear comparability caveats.
セキュリティ監査
安全All four static findings are false positives: documentation navigation links and Markdown formatting around MCP tool names. No evidence found of prompt injection, unauthorized data transfer, or executable shell commands in the reviewed files. The skill describes survey analysis through external MCP tools; their implementations were not included in this review.
リスク要因
📁 ファイルシステムへのアクセス (1)
⚙️ 外部コマンド (3)
このレポートを共有・引用
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
レポートリンクをコピー
https://skillstore.io/skills/webaskio-webask-benchmark/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/webaskio-webask-benchmark?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/webaskio-webask-benchmark?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/webaskio-webask-benchmark/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/webaskio-webask-benchmark.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>学術引用 (APA · BibTeX · CFF)
APA形式の引用
webaskio. (2026). webask-benchmark security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/webaskio-webask-benchmark/audits/1BibTeX形式の引用
@techreport{webaskio-webaskio-webask-benchmark-2026,
author = {webaskio},
title = {webask-benchmark security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/webaskio-webask-benchmark/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-benchmark 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-benchmark/audits/1"
identifiers:
- type: other
value: "skillstore:webaskio-webask-benchmark:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore スコア
このスコアの理由 証拠の信頼度: 中作成できるもの
Review Customer Satisfaction Changes
Compare repeated survey periods to identify rating and distribution changes while checking questionnaire consistency.
Compare Survey Completion
Compare completion rates and completion times across account surveys without treating answers to different questions as equivalent.
Assess Feedback After a Release
Compare feedback before and after a release while distinguishing observed changes from unproven explanations.
これらのプロンプトを試す
Compare [survey] during [period A] and [period B]. Check questionnaire versions and report average ratings, changes, and response counts.
Compare completion rates and completion times for [survey A] and [survey B]. Use only shared metrics and explain any comparability limits.
Compare [survey] across [period A] and [period B]. Check version history, then examine answer distributions, average scores, and sample sizes. Label hypotheses clearly.
Evaluate whether [survey] results from [period A] and [period B] support a reliable comparison. Check questionnaire changes, period lengths, seasonality, and sample sizes. Separate observed differences from unsupported significance or causal claims.
ベストプラクティス
- Check questionnaire version history before interpreting changes between survey periods.
- Use comparable period lengths and consider seasonal or audience differences.
- Report distributions and sample sizes alongside averages, and label explanations that remain hypotheses.
回避
- Treating answers to different questions as directly comparable.
- Presenting small score differences as reliable improvement without sufficient evidence.
- Interpreting higher response volume as proof of better product quality.
よくある質問
What does this skill compare?
Which tools are required?
Can it compare surveys with different questions?
Does it provide a formal statistical significance test?
Does it modify surveys or recommend paid upgrades?
Which language does it use for responses?
開発者情報
作成者
webaskioライセンス
MIT
Skillstore リビジョン
r1
バージョンに関する注意
作者はバージョンを宣言していません。
参照
bad9dafc37d1638cd29cb9bab06d5f8dbcd0f6c2
メンテナンスの新しさ
2026/9/30
利用状況
0 ダウンロード · 0 閲覧
ファイル構成