スキル webask-lead-quality

📦

webask-lead-quality

Name: webask-lead-quality
Author: webaskio

コンテンツリビジョン r1 安全 📁 ファイルシステムへのアクセス⚙️ 外部コマンド

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.

対応: Claude Codex Code(CC)

🥉 77 ブロンズ

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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。

エージェントリクエスト

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.

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。

Markdown詳細 GET /skills/webaskio-webask-lead-quality.md 署名済み manifest GET /api/skills/webaskio-webask-lead-quality/manifest 署名済み lockfile GET /api/skills/webaskio-webask-lead-quality/lockfile

テストする

「webask-lead-quality」を使用しています。 Illustrative data: 512 starters, 243 reached the contact step, 186 submitted contacts, and 164 contacts appear usable. Summarize lead quality.

期待される結果:

Started: 512. Reached contact: 243. Submitted contact: 186. Apparently usable contacts: 164.
Contact submission rate: 36.3% of starters. Apparently usable contact rate: 32.0% of starters.
Contact-stage gap: 57 participants. Suspicious contact submissions: 22.
Review the contact explanation and unnecessary fields. These counts do not establish why participants stopped.

「webask-lead-quality」を使用しています。 Illustrative labeled data: newsletter has 100 starters and 38 usable contacts; website banner has 100 starters and 19. Compare these sources.

期待される結果:

Newsletter: 38 apparently usable contacts from 100 starters, or 38%.
Website banner: 19 apparently usable contacts from 100 starters, or 19%.
Newsletter has the higher observed usable contact rate. Costs and eventual sales outcomes are unavailable.
Review banner traffic expectations and contact questions before making budget decisions.

セキュリティ監査

安全

v1 • 2026/9/29 バージョン別レポートを開く

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.

スキャンされたファイル

137

解析済み行数

レビュー項目

誤検知を無視

リスク要因

📁 ファイルシステムへのアクセス (1)

README.md:1

⚙️ 外部コマンド (4)

SKILL.md:15 SKILL.md:17 SKILL.md:20 SKILL.md:29

最新の完了済み静的・セマンティック監査では、確認済みのセキュリティ検出事項は見つかりませんでした。これは、スキルに副作用がないことを証明するものではありません。

監査者: codex

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。

バージョン別レポートを開く

レポートリンクをコピー

https://skillstore.io/skills/webaskio-webask-lead-quality/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdownバッジ

[![Skillstore security assessment](https://skillstore.io/badges/skills/webaskio-webask-lead-quality/security.svg)](https://skillstore.io/skills/webaskio-webask-lead-quality?utm_source=security_passport_badge)

HTMLバッジ

<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>

埋め込みカード

<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>

学術引用 (APA · BibTeX · CFF)

APA形式の引用

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

BibTeX形式の引用

@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}
}

CITATION.cff

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"

Skillstore スコア

このスコアの理由証拠の信頼度: 中

アーキテクチャ

保守性

コンテンツ

コミュニティ

仕様準拠

作成できるもの

Compare Acquisition Channels

Compare apparently usable contact rates across labeled sources to identify channels that generate stronger leads.

Assess Sales Intake Quality

Separate survey completions from submissions with apparently usable contacts before evaluating the incoming lead volume.

Review Contact Collection

Identify losses around contact questions and prioritize changes to field requirements, question order, and contact explanations.

これらのプロンプトを試す

Summarize Lead Quality

Analyze WebAsk survey [survey]. Show starters, contact submissions, apparently usable contacts, and their share of starters. Keep personal contact details out of chat.

Locate Contact Losses

Review [survey] and compare response counts before and at the contact question. Estimate the loss and suggest prioritized improvements. State data limitations.

Compare Source Quality

Compare lead quality for each source label in [survey]. Show counts and usable contact rates. Identify missing labels and avoid unsupported cost claims.

Build a Prioritized Review

Audit [survey] across contact conversion, suspicious values, and labeled channels. Explain denominators and heuristic limits. Rank recommendations by expected impact without changing the survey.

ベストプラクティス

Use all survey starters as the denominator and distinguish submitted contacts from apparently usable contacts.
Keep personal contact details out of chat and report aggregate counts.
Check source labels, report completeness, and heuristic assumptions before prioritizing changes.

回避

Treating every completed survey as a qualified lead, even when contact details are missing.
Assuming suspicious contact formats prove that a person is unreachable or unqualified.
Removing every required field or claiming channel cost advantages without spending data.

よくある質問

What does this skill measure?

It focuses on contact submissions, apparently usable contacts, losses around contact questions, and differences between labeled acquisition channels.

Which tools does it require?

It declares get_quiz_structure, get_quiz_summary, get_quiz_report, and get_answer_extra_field_values as WebAsk MCP dependencies.

Does it verify phone numbers or email addresses?

No. It flags obviously suspicious values through heuristics, without confirming reachability, ownership, or sales readiness.

Can it compare acquisition channels?

Yes, when source labels and suitable report data exist. Comparing costs also requires spending data.

Will it show personal contacts or update my CRM?

The instructions prohibit posting contacts in chat. The supplied skill does not provide a CRM update or export workflow.

What happens when a service limit prevents analysis?

The instructions require the assistant to state the limit and stop, without recommending an upgrade or directing users to payment.

開発者情報

作成者

webaskio

ライセンス

MIT

Skillstore リビジョン

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。

リポジトリ

https://github.com/webaskio/webask-mcp/tree/dc05c14782f453ce94006ce6d8939f700b8f9693/skills/webask-lead-quality

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

📁 agents/

📄 openai.yaml

📄 README.md

📄 SKILL.md