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 Lead Quality
Survey completion counts can hide missing or unusable contact details. This skill guides assistants through WebAsk reports to assess contact quality, compare channels, and prioritize improvements.
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-lead-quality" from https://skillstore.io/skills/webaskio-webask-lead-quality.md and its manifest at https://skillstore.io/api/skills/webaskio-webask-lead-quality/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-lead-quality”。 Illustrative data: 512 starters, 243 reached the contact step, 186 submitted contacts, and 164 contacts appear usable. Summarize lead quality.
预期结果:
正在使用“webask-lead-quality”。 Illustrative labeled data: newsletter has 100 starters and 38 usable contacts; website banner has 100 starters and 19. Compare these sources.
预期结果:
All five static findings are false positives: documentation navigation links and Markdown inline text do not execute commands or perform filesystem traversal. No evidence found of prompt injection, credential theft, or unauthorized data disclosure in the supplied files. The skill requests survey reporting tools and explicitly prohibits posting contacts in chat; external tool implementations are outside this review.
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-lead-quality/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/webaskio-webask-lead-quality?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/webaskio-webask-lead-quality?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/webaskio-webask-lead-quality/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/webaskio-webask-lead-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-lead-quality security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/webaskio-webask-lead-quality/audits/1@techreport{webaskio-webaskio-webask-lead-quality-2026,
author = {webaskio},
title = {webask-lead-quality security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/webaskio-webask-lead-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-lead-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-lead-quality/audits/1"
identifiers:
- type: other
value: "skillstore:webaskio-webask-lead-quality:audit:1"
description: "Skillstore immutable audit report identifier"
Compare apparently usable contact rates across labeled sources to identify channels that generate stronger leads.
Separate survey completions from submissions with apparently usable contacts before evaluating the incoming lead volume.
Identify losses around contact questions and prioritize changes to field requirements, question order, and contact explanations.
Analyze WebAsk survey [survey]. Show starters, contact submissions, apparently usable contacts, and their share of starters. Keep personal contact details out of chat.
Review [survey] and compare response counts before and at the contact question. Estimate the loss and suggest prioritized improvements. State data limitations.
Compare lead quality for each source label in [survey]. Show counts and usable contact rates. Identify missing labels and avoid unsupported cost claims.
Audit [survey] across contact conversion, suspicious values, and labeled channels. Explain denominators and heuristic limits. Rank recommendations by expected impact without changing the survey.
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.
Score and Clean Prospect Lists
由 cmj-hub
Duplicates, stale signals, and targeting mismatches waste outreach capacity. This skill guides CSV or JSONL list reviews with a weighted rubric, removal reasons, and prioritized cleanup recommendations.
更安全地规划滴灌式营销活动
由 Sequenzy
当时机、分支、评分和审批不清晰时,滴灌式营销活动就会失败。此技能可帮助 Claude、Codex 和 Claude Code 创建可供审查的培育计划和审计。
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。