스킬 data-value-assessment-expert

📦

data-value-assessment-expert

Name: data-value-assessment-expert
Author: 图灵数盟

콘텐츠 리비전 r1 안전 📁 파일 시스템 접근⚙️ 외부 명령어🌐 네트워크 접근

Assess Data Value and Prioritize Opportunities

Organizations often overlook valuable uses for their data or cannot explain where value originates. This skill provides structured diagnosis, measurement guidance, and prioritized improvement actions.

지원: Claude Codex Code(CC)

🥉 77 브론즈

Maintain this Skill? Claim it 🥉 77 브론즈

내 에이전트로 설치

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에이전트 요청

Review the Skillstore skill "data-value-assessment-expert" from https://skillstore.io/skills/dhturing-data-value-assessment-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-value-assessment-expert/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/dhturing-data-value-assessment-expert.md 서명된 manifest GET /api/skills/dhturing-data-value-assessment-expert/manifest 서명된 lockfile GET /api/skills/dhturing-data-value-assessment-expert/lockfile

테스트해 보기

"data-value-assessment-expert" 사용 중입니다. Assess customer service transcripts for overlooked value.

예상 결과:

Strongest value: cost reduction through automated issue classification.
Secondary value: product improvement from recurring complaint patterns.
Main gap: unclear consent for uses beyond service delivery.
Next action: validate permissions before testing external scenarios.

"data-value-assessment-expert" 사용 중입니다. Diagnose the value of weekly logistics data.

예상 결과:

The weakest factor is buyer action because interest lacks paid validation. Run two buyer interviews and a limited pilot before forecasting revenue.

"data-value-assessment-expert" 사용 중입니다. Prioritize three uses for equipment sensor data.

예상 결과:

First: predictive maintenance, supported by downtime records and an internal owner.
Second: warranty risk analysis, pending quality checks.
Third: external benchmarking, pending authorization and buyer validation.

보안 감사

안전

v1 • 2026. 9. 27. 버전별 보고서 열기

All twelve static findings are false positives. The files contain normal Markdown documentation, Chinese UTF-8 prose, installation paths, inline code formatting, and author links without executable behavior, concealed payloads, or prompt injection.

스캔된 파일

424

분석된 줄 수

검토 항목

오탐 무시됨

위험 요인

📁 파일 시스템 접근 (2)

profile.md:38 profile.md:38

⚙️ 외부 명령어 (3)

SKILL.md:20 SKILL.md:26 SKILL.md:33

🌐 네트워크 접근 (2)

SKILL.md:6 SKILL.md:12

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/dhturing-data-value-assessment-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 배지

[![Skillstore security assessment](https://skillstore.io/badges/skills/dhturing-data-value-assessment-expert/security.svg)](https://skillstore.io/skills/dhturing-data-value-assessment-expert?utm_source=security_passport_badge)

HTML 배지

<a href="https://skillstore.io/skills/dhturing-data-value-assessment-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-value-assessment-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

임베드 카드

<iframe src="https://skillstore.io/embed/skills/dhturing-data-value-assessment-expert.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

图灵数盟. (2026). data-value-assessment-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-value-assessment-expert/audits/1

BibTeX 인용

@techreport{dhturing-data-value-assessment-expert-2026,
  author = {图灵数盟},
  title = {data-value-assessment-expert security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/dhturing-data-value-assessment-expert/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: "data-value-assessment-expert security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
  - name: "图灵数盟"
date-released: "2026-09-27"
url: "https://skillstore.io/skills/dhturing-data-value-assessment-expert/audits/1"
identifiers:
  - type: other
    value: "skillstore:dhturing-data-value-assessment-expert: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

Map overlooked value

Review a data portfolio across nine value types and identify evidence gaps.

Prioritize product scenarios

Compare candidate data products and rank their most credible use scenarios.

Prepare investment decisions

Separate realized benefits from potential value and identify improvement priorities.

이 프롬프트를 사용해 보세요

Identify value types

Review this dataset across all nine value types. For each type, state relevance, evidence, and missing information.

Diagnose value factors

Score the five value factors from one to five. Explain each score, identify the weakest factor, and recommend improvements.

Rank value scenarios

Compare these internal and external scenarios by market scale, buyer value, competition, compliance, and evidence. Rank them with stated assumptions.

Build an assessment report

Create a complete data value assessment. Include value types, five-factor diagnosis, data map, scenario ranking, measurement ranges, decay risks, and actions.

모범 사례

Provide evidence for each score and label every assumption.
Separate realized benefits, validated opportunities, and speculative potential.
Complete rights and compliance checks before recommending external use.

피하기

Do not treat stated buyer interest as proven willingness to pay.
Do not present potential value as current revenue or asset value.
Do not rank scenarios without considering permissions, quality, and alternatives.

자주 묻는 질문

Does this skill produce a formal asset valuation?

No. It analyzes value sources and opportunities but does not replace a licensed valuation report.

What information should I provide?

Provide data sources, fields, quality, permissions, current uses, candidate buyers, operating costs, and available performance evidence.

How are value opportunities classified?

The framework reviews nine types, including revenue, savings, efficiency, risk, decisions, financing, ecosystem, compliance, and strategic options.

Can it estimate monetary value?

It can create evidence-based ranges when sufficient inputs exist. Every estimate should state its method, assumptions, and uncertainty.

How does it find cross-industry opportunities?

It examines other industries, buyer problems, comparable uses, and complementary datasets. These opportunities still require market and compliance validation.

Can it handle confidential data?

Use summaries or approved samples. Follow organizational controls and avoid sharing personal, restricted, or proprietary records without authorization.