webask-answers-cleanup
Review and Clean Up WebAsk Survey Responses
Test submissions and duplicate responses can distort survey reports and complicate follow-up. This skill guides preview-based WebAsk cleanup with reversible hiding, response tags, and explicit approval before deletion.
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-answers-cleanup" from https://skillstore.io/skills/webaskio-webask-answers-cleanup.md and its manifest at https://skillstore.io/api/skills/webaskio-webask-answers-cleanup/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-answers-cleanup」を使用しています。 Illustrative request: Review prelaunch responses and repeated phone numbers without changing anything.
期待される結果:
- Prelaunch candidates: 18 responses collected September 3-6, before the September 7 launch.
- Duplicate-contact candidates: 9 responses with repeated phone numbers.
- These are review groups, not confirmed invalid responses.
- No responses changed. Review the selected responses before approving reversible hiding.
「webask-answers-cleanup」を使用しています。 Illustrative request: Can you restore responses I permanently deleted?
期待される結果:
- Permanently deleted responses cannot be restored through this workflow.
- Responses still in trash can be restored.
- Specify the survey and response scope so I can check what remains available.
セキュリティ監査
安全All nine static findings are false positives: README links provide repository navigation, and Markdown backticks mark MCP tool names rather than shell commands. The skill requires approval before deletion, prefers reversible hiding, and prohibits deleting responses to improve metrics. No evidence found of prompt injection or exfiltration intent; external MCP implementation behavior is outside the supplied files.
リスク要因
📁 ファイルシステムへのアクセス (1)
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-answers-cleanup/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/webaskio-webask-answers-cleanup?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/webaskio-webask-answers-cleanup?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/webaskio-webask-answers-cleanup/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-answers-cleanup.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-answers-cleanup security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/webaskio-webask-answers-cleanup/audits/1BibTeX形式の引用
@techreport{webaskio-webaskio-webask-answers-cleanup-2026,
author = {webaskio},
title = {webask-answers-cleanup security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/webaskio-webask-answers-cleanup/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-answers-cleanup 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-answers-cleanup/audits/1"
identifiers:
- type: other
value: "skillstore:webaskio-webask-answers-cleanup: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 Responses After Survey Launch
Identify submissions collected before launch and preview them before hiding confirmed test responses from reports.
Organize Customer Follow-Up
Tag complaint responses and add callback notes while preserving the original responses in survey statistics.
Review Duplicate Contacts
Group repeated phone numbers or email addresses and agree on cleanup criteria before changing responses.
これらのプロンプトを試す
Review survey [survey] for responses submitted before [launch date]. Show candidate counts, dates, and selection criteria without making changes.
Find repeated [phone or email] values in survey [survey] during [date range]. Group candidates and propose reversible hiding for my approval.
In account [account], review existing tags for survey [survey]. Tag complaint responses with [tag] and add [note], preserving their visibility in reports.
Review survey [survey] during [date range] for tests, fast completions, repeated patterns, and duplicate contacts. Report separate counts and criteria without changing data. Propose reversible actions and await my approval for the exact scope. Exclude low ratings as a cleanup criterion.
ベストプラクティス
- Review candidate counts, dates, and selection criteria before approving any deletion.
- Start with reversible hiding when response validity is uncertain.
- Check existing account tags before creating new labels.
回避
- Permanently deleting responses without explicit approval for the exact scope.
- Removing low ratings or valid outliers to improve reported metrics.
- Creating duplicate account tags without checking the existing directory.
よくある質問
Does the skill delete responses immediately?
Can deleted responses be recovered?
What cleanup indicators does it consider?
Will tags remove responses from statistics?
Are response tags specific to one survey?
What is required to use this skill?
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