Check WebAsk Survey Data Quality
Suspicious survey responses can distort results and weaken decisions. This skill guides checks of WebAsk responses and compares key metrics before recommending exclusions.
Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.
Review the Skillstore skill "webask-data-quality" from https://skillstore.io/skills/webaskio-webask-data-quality.md and its manifest at https://skillstore.io/api/skills/webaskio-webask-data-quality/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.
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„webask-data-quality“ wird verwendet. Illustrative request: Review 100 responses and estimate the effect of excluding suspicious submissions.
Erwartetes Ergebnis:
„webask-data-quality“ wird verwendet. Illustrative request: Review contradictory answers and harsh comments before publishing survey results.
Erwartetes Ergebnis:
All three static findings are false positives: relative documentation links and Markdown formatting around tool names. No evidence found of prompt injection, unauthorized execution, or data exfiltration in the reviewed files. The workflow uses survey retrieval tools and prohibits autonomous deletion.
Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.
https://skillstore.io/skills/webaskio-webask-data-quality/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/webaskio-webask-data-quality?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/webaskio-webask-data-quality?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/webaskio-webask-data-quality/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/webaskio-webask-data-quality.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-data-quality security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/webaskio-webask-data-quality/audits/1@techreport{webaskio-webaskio-webask-data-quality-2026,
author = {webaskio},
title = {webask-data-quality security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/webaskio-webask-data-quality/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-data-quality 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-data-quality/audits/1"
identifiers:
- type: other
value: "skillstore:webaskio-webask-data-quality:audit:1"
description: "Skillstore immutable audit report identifier"
Inspect fast completions, repeated contacts, and matching response bursts before interpreting results from a rewarded survey.
Compare key metrics before and after proposed exclusions to assess whether quality concerns affect the report.
Review contradictory responses and possible survey display logic errors without treating negative customer feedback as invalid.
Check the response quality for WebAsk survey [survey]. Summarize the main concerns without changing any responses.
Review [survey] for fast completions, repetitive answers, duplicate contacts, and meaningless text. Report counts and percentages for each indicator.
For [survey], compare [key metrics] before and after proposed exclusions. Count overlapping flags only once when calculating remaining responses. Do not modify data.
Investigate matching response bursts, duplicate contacts, and contradictory answers in [survey]. Separate possible display logic errors from suspicious behavior. Compare metric changes and recommend reversible actions.
Autor
webaskioLizenz
MIT
Skillstore-Revision
r1
Versionshinweis
Der Autor hat keine Version angegeben.
Ref.
bad9dafc37d1638cd29cb9bab06d5f8dbcd0f6c2
Aktualität der Wartung
30.9.2026
Nutzung
0 Downloads · 0 Aufrufe
Dateistruktur
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.
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.
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.
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.
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