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.
將此請求複製給你的智慧代理，其中包含權威 Skill 頁面和清單。
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.你的智慧代理仍應顯示其計畫，並依安全政策請求必要確認。
當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時，請使用這些連結。
正在使用「webask-benchmark」。 Illustrative comparison: spring averaged 4.0 from 286 responses; autumn averaged 4.3 from 318 responses. The questionnaire was unchanged.
預期結果:
正在使用「webask-benchmark」。 Illustrative comparison: two periods use different wording and response options for the satisfaction question.
預期結果:
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.
分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據，不判斷該 Skill 是否安全。
https://skillstore.io/skills/webaskio-webask-benchmark/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/webaskio-webask-benchmark?utm_source=security_passport_badge)<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><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>webaskio. (2026). webask-benchmark security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/webaskio-webask-benchmark/audits/1@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}
}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"
Compare repeated survey periods to identify rating and distribution changes while checking questionnaire consistency.
Compare completion rates and completion times across account surveys without treating answers to different questions as equivalent.
Compare feedback before and after a release while distinguishing observed changes from unproven explanations.
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.
作者
webaskio授權
MIT
Skillstore 修訂
r1
版本提示
作者未聲明版本。
引用
bad9dafc37d1638cd29cb9bab06d5f8dbcd0f6c2
維護新鮮度
2026/9/30
使用量
0 次下載 · 0 次瀏覽
檔案結構
Summarize WebAsk Survey Results
Survey totals and raw responses can make conclusions difficult to identify. This skill guides assistants through WebAsk summaries, filtered reports, and text themes to explain results clearly.
Organize Your WebAsk Workspace
Crowded WebAsk workspaces make completed surveys, active projects, and reusable templates difficult to manage. This skill guides approved cleanup, survey duplication, archiving, and file management through WebAsk MCP tools.
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.
Compare WebAsk Survey Sources
Survey totals can hide differences between recruitment channels. This skill guides your assistant to compare tagged WebAsk responses by volume, completion rate, and your selected outcome.
Create WebAsk Surveys from a Brief
Turning a survey brief into suitable questions, branching, and formatting takes manual work. This skill guides connected WebAsk tools to create a draft and publish it after your approval.
Prepare WebAsk Surveys for Distribution
Survey responses become difficult to attribute when every channel shares an unlabelled link. This skill guides WebAsk distribution with source labels, QR codes, access passwords, and printable versions.
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