webask-results-digest
77Summarize 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.
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.
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-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.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。
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。
「webask-open-answers」を使用しています。 Illustrative responses: 'Long wait', 'Waited forty minutes', 'Price was unclear', and '-'. Group them by theme.
期待される結果:
「webask-open-answers」を使用しています。 Illustrative responses: 'Helpful staff', 'Staff were rude', and 'Helpful and patient staff'. Summarize themes and sentiment.
期待される結果:
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.
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。
https://skillstore.io/skills/webaskio-webask-open-answers/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/webaskio-webask-open-answers?utm_source=security_passport_badge)<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><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>webaskio. (2026). webask-open-answers security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/webaskio-webask-open-answers/audits/1@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}
}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"
Rank recurring service complaints by frequency and review representative quotes before choosing improvements.
Group answers to a product improvement question by meaning and distinguish repeated requests from isolated comments.
Filter a survey report, analyze the selected text responses, and report theme frequencies with sample limitations.
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.
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
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.
Analyze Google Reviews for Customer Insights
作成者 locusintelligence-dauagency
Customer reviews contain useful feedback that can be difficult to organize. This skill groups retrieved Google reviews into evidenced themes and suggests practical business improvements.
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作成者 davila7
科学データファイルは、形式ごとに構造やメタデータの保存方法が異なるため、調査が困難です。このスキルは形式を検出し、データ品質をプロファイリングし、実用的な Markdown EDA レポートを作成します。
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Single-cell RNA-seqのワークフローには、慎重なQC、正規化、クラスタリング、ドキュメント化が必要です。このスキルは、再現可能な解析のためのScanpyワークフロー、スクリプト、テンプレート、リファレンスを提供します。
JSON、YAML、TOML データを処理する
作成者 0xDarkMatter
構造化された構成データは、JSON、YAML、TOML ファイルを横断して確認するのが難しい場合があります。このスキルは、抽出、フィルタリング、変換、更新のための jq と yq クエリを案内します。