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.
将此请求复制给你的智能体，其中包含权威 Skill 页面和清单。
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.你的智能体仍应展示其计划，并按安全策略请求必要确认。
当 AI Agent、爬虫或脚本需要干净上下文，而不是读取完整页面时，请使用这些链接。
正在使用“webask-answers-cleanup”。 Illustrative request: Review prelaunch responses and repeated phone numbers without changing anything.
预期结果:
正在使用“webask-answers-cleanup”。 Illustrative request: Can you restore responses I permanently deleted?
预期结果:
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.
分享版本化评估报告、中性徽章、嵌入卡片和引用。Skillstore 只报告证据，不判断该 Skill 是否安全。
https://skillstore.io/skills/webaskio-webask-answers-cleanup/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/webaskio-webask-answers-cleanup?utm_source=security_passport_badge)<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><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>webaskio. (2026). webask-answers-cleanup security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/webaskio-webask-answers-cleanup/audits/1@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}
}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"
Identify submissions collected before launch and preview them before hiding confirmed test responses from reports.
Tag complaint responses and add callback notes while preserving the original responses in survey statistics.
Group repeated phone numbers or email addresses and agree on cleanup criteria before changing responses.
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.
作者
webaskio许可证
MIT
Skillstore 修订
r1
版本提示
作者未声明版本。
引用
bad9dafc37d1638cd29cb9bab06d5f8dbcd0f6c2
维护新鲜度
2026/9/30
使用量
0 次下载 · 0 次浏览
文件结构
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 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.
Improve WebAsk Survey Copy
Unclear questions and vague introductions can discourage survey completion. This skill uses available abandonment data to prioritize clearer wording and requests approval before saving changes.
分析科学数据文件
由 davila7
科学数据文件很难检查，因为每种格式存储结构和元数据的方式都不同。此技能可检测格式、分析数据质量，并创建实用的 Markdown EDA 报告。
使用 Scanpy 分析单细胞 RNA-Seq
由 davila7
单细胞 RNA-seq 工作流需要仔细的 QC、归一化、聚类和文档记录。此技能提供 Scanpy 工作流、脚本、模板和参考资料，用于可复现分析。
创建可直接用于期刊投稿的科学图件
由 davila7
科学图件常常因尺寸、分辨率、颜色和标签问题无法通过期刊检查。此技能指导 Claude、Codex 和 Claude Code 创建无障碍且可用于发表的图件。
处理 JSON、YAML 和 TOML 数据
由 0xDarkMatter
结构化配置数据在 JSON、YAML 和 TOML 文件之间可能难以检查。此技能指导使用 jq 和 yq 查询进行提取、过滤、转换和更新。
使用 PyTDC 分析治疗性 ML 数据
由 davila7
药物发现团队需要一致的数据集和公平的基准。此技能指导 PyTDC 工作流，用于加载数据、拆分数据集、评估模型以及使用分子 oracle。
起草 Nature 数据可用性声明
由 Yuan1z0825
研究作者在投稿前通常需要精确的数据可用性表述。此技能可帮助起草声明、将数据集映射到访问路径，并检查 FAIR 元数据。