스킬 webask-lead-quality

📦

webask-lead-quality

Name: webask-lead-quality
Author: webaskio

콘텐츠 리비전 r1 안전 📁 파일 시스템 접근⚙️ 외부 명령어

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.

지원: Claude Codex Code(CC)

🥉 77 브론즈

Maintain this Skill? Claim it 🥉 77 브론즈

내 에이전트로 설치

이 요청을 에이전트에 복사하세요. 공식 Skill 페이지와 매니페스트가 포함되어 있습니다.

에이전트 요청

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.

에이전트는 계속해서 계획을 표시하고 보안 정책에서 요구하는 확인을 요청해야 합니다.

에이전트가 읽기 쉬운 리소스

AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.

Markdown 상세 GET /skills/webaskio-webask-lead-quality.md 서명된 manifest GET /api/skills/webaskio-webask-lead-quality/manifest 서명된 lockfile GET /api/skills/webaskio-webask-lead-quality/lockfile

테스트해 보기

"webask-lead-quality" 사용 중입니다. Illustrative data: 512 starters, 243 reached the contact step, 186 submitted contacts, and 164 contacts appear usable. Summarize lead quality.

예상 결과:

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" 사용 중입니다. Illustrative labeled data: newsletter has 100 starters and 38 usable contacts; website banner has 100 starters and 19. Compare these sources.

예상 결과:

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.

보안 감사

안전

v1 • 2026. 9. 29. 버전별 보고서 열기

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.

스캔된 파일

137

분석된 줄 수

검토 항목

오탐 무시됨

위험 요인

📁 파일 시스템 접근 (1)

README.md:1

⚙️ 외부 명령어 (4)

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

가장 최근에 완료된 정적·의미론적 감사에서 확인된 보안 발견 사항이 감지되지 않았습니다. 이는 스킬에 부작용이 없음을 증명하지 않습니다.

감사자: codex

이 보고서 공유 및 인용

버전이 지정된 평가 보고서, 중립 배지, 임베드 카드 및 인용을 공유하세요. Skillstore는 근거를 보고하지만 이 Skill의 안전 여부를 판단하지 않습니다.

버전별 보고서 열기

보고서 링크 복사

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

Markdown 배지

[![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 배지

<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>

임베드 카드

<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>

학술 인용 (APA · BibTeX · CFF)

APA 인용

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 인용

@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 점수

이 점수의 이유 증거 신뢰도: 중간

아키텍처

유지보수성

콘텐츠

커뮤니티

사양 준수

만들 수 있는 것

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.

이 프롬프트를 사용해 보세요

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.

모범 사례

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.

피하기

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.

자주 묻는 질문

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.

개발자 세부 정보

작성자

webaskio

라이선스

MIT

Skillstore 리비전

버전 안내

작성자가 버전을 선언하지 않았습니다.

리포지토리

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

참조

bad9dafc37d1638cd29cb9bab06d5f8dbcd0f6c2

유지보수 최신성

2026. 9. 30.

사용량

0 다운로드 · 0 조회

파일 구조

📁 agents/

📄 openai.yaml

📄 README.md

📄 SKILL.md