webask-open-answers
Analyze WebAsk Survey Comments by Theme
Open survey responses are difficult to compare as long lists of comments. This skill organizes WebAsk responses into themes with counts, percentages, and representative quotes.
使用我的智慧代理安裝
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-open-answers" from https://skillstore.io/skills/webaskio-webask-open-answers.md and its manifest at https://skillstore.io/api/skills/webaskio-webask-open-answers/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。
Agent 可讀資源
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。
測試它
正在使用「webask-open-answers」。 Illustrative responses: 'Long wait', 'Waited forty minutes', 'Price was unclear', and '-'. Group them by theme.
預期結果:
- Waiting time: 2 of 4 responses, 50%. Representative quote: 'Waited forty minutes'.
- Price clarity: 1 of 4 responses, 25%. Representative quote: 'Price was unclear'.
- No substantive content: 1 of 4 responses, 25%.
- This sample is too small for firm conclusions. Waiting time and price clarity are preliminary areas to investigate.
正在使用「webask-open-answers」。 Illustrative responses: 'Helpful staff', 'Staff were rude', and 'Helpful and patient staff'. Summarize themes and sentiment.
預期結果:
- Staff interactions: 3 of 3 responses, 100%.
- Sentiment is mixed: two positive responses and one negative response.
- Representative quotes: 'Helpful and patient staff' and 'Staff were rude'.
- The sample is too small for general conclusions. Positive comments do not erase the negative experience.
安全審計
安全All three static findings are false positives: relative documentation links and Markdown tool names do not execute commands or access files. No evidence found of malicious instructions, unauthorized data transfer, or security bypasses in the reviewed files. The workflow uses WebAsk reporting tools and requires personal data to be removed from quoted responses.
風險因素
📁 檔案系統存取 (1)
⚙️ 外部命令 (2)
分享與引用此報告
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。
複製報告連結
https://skillstore.io/skills/webaskio-webask-open-answers/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/webaskio-webask-open-answers?utm_source=security_passport_badge)HTML 徽章
<a href="https://skillstore.io/skills/webaskio-webask-open-answers?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/webaskio-webask-open-answers/security.svg" alt="Skillstore security assessment" loading="lazy"></a>嵌入卡片
<iframe src="https://skillstore.io/embed/skills/webaskio-webask-open-answers.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>學術引用 (APA · BibTeX · CFF)
APA 引用
webaskio. (2026). webask-open-answers security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/webaskio-webask-open-answers/audits/1BibTeX 引用
@techreport{webaskio-webaskio-webask-open-answers-2026,
author = {webaskio},
title = {webask-open-answers security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/webaskio-webask-open-answers/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-open-answers 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-open-answers/audits/1"
identifiers:
- type: other
value: "skillstore:webaskio-webask-open-answers:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore 評分
評分依據 證據置信度: 中你可以打造什麼
Prioritize customer experience issues
Rank recurring service complaints by frequency and review representative quotes before choosing improvements.
Review product improvement requests
Group answers to a product improvement question by meaning and distinguish repeated requests from isolated comments.
Summarize a survey subgroup
Filter a survey report, analyze the selected text responses, and report theme frequencies with sample limitations.
試試這些提示
Analyze the open responses to [question] in WebAsk survey [survey]. Show the most common themes.
Analyze [question] in survey [survey]. Rank themes by count and percentage, include representative quotes, and count non-substantive answers separately.
Filter survey [survey] by [condition], then analyze [question] for that group. Include counts, percentages, sentiment where clear, and quotes without personal data.
Analyze [questions] in survey [survey] separately. For each, report ranked themes, counts, percentages, redacted quotes, and sample limitations. Identify two or three recurring priorities.
最佳實務
- Specify the survey, question, and any filter before requesting analysis.
- Review theme counts alongside representative quotes and the number of non-substantive responses.
- Check quote redactions and sample limitations before sharing a report.
避免
- Combining responses from different questions into one thematic summary.
- Demanding a preferred conclusion when the responses support different themes.
- Publishing identifiable quotes or treating a few responses as conclusive evidence.
常見問題
Which tools does this skill require?
Can it analyze a filtered group?
How are themes formed?
How does it handle empty answers?
Are quotes copied exactly?
What happens when there is too little data?
開發者詳細資訊
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