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.
내 에이전트로 설치
이 요청을 에이전트에 복사하세요. 공식 Skill 페이지와 매니페스트가 포함되어 있습니다.
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.에이전트는 계속해서 계획을 표시하고 보안 정책에서 요구하는 확인을 요청해야 합니다.
에이전트가 읽기 쉬운 리소스
AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.
테스트해 보기
"webask-open-answers" 사용 중입니다. Illustrative responses: 'Long wait', 'Waited forty minutes', 'Price was unclear', and '-'. Group them by theme.
예상 결과:
- 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.
"webask-open-answers" 사용 중입니다. Illustrative responses: 'Helpful staff', 'Staff were rude', and 'Helpful and patient staff'. Summarize themes and sentiment.
예상 결과:
- 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.
보안 감사
안전All 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.
위험 요인
📁 파일 시스템 접근 (1)
⚙️ 외부 명령어 (2)
이 보고서 공유 및 인용
버전이 지정된 평가 보고서, 중립 배지, 임베드 카드 및 인용을 공유하세요. Skillstore는 근거를 보고하지만 이 Skill의 안전 여부를 판단하지 않습니다.
보고서 링크 복사
https://skillstore.io/skills/webaskio-webask-open-answers/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 배지
[](https://skillstore.io/skills/webaskio-webask-open-answers?utm_source=security_passport_badge)HTML 배지
<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>임베드 카드
<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>학술 인용 (APA · BibTeX · CFF)
APA 인용
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 인용
@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 점수
이 점수의 이유 증거 신뢰도: 중간만들 수 있는 것
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.
이 프롬프트를 사용해 보세요
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.
모범 사례
- 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.
피하기
- 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.
자주 묻는 질문
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?
개발자 세부 정보
작성자
webaskio라이선스
MIT
Skillstore 리비전
r1
버전 안내
작성자가 버전을 선언하지 않았습니다.
참조
bad9dafc37d1638cd29cb9bab06d5f8dbcd0f6c2
유지보수 최신성
2026. 9. 30.
사용량
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