스킬 data-inventory-diagnosis-expert

📦

data-inventory-diagnosis-expert

Name: data-inventory-diagnosis-expert
Author: 图灵数盟

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

Diagnose and Prioritize Enterprise Data Assets

Organizations often lack a reliable view of which data resources deserve investment. This skill maps, scores, and prioritizes assets for focused next steps.

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 "data-inventory-diagnosis-expert" from https://skillstore.io/skills/dhturing-data-inventory-diagnosis-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-inventory-diagnosis-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-inventory-diagnosis-expert.md 서명된 manifest GET /api/skills/dhturing-data-inventory-diagnosis-expert/manifest 서명된 lockfile GET /api/skills/dhturing-data-inventory-diagnosis-expert/lockfile

테스트해 보기

"data-inventory-diagnosis-expert" 사용 중입니다. Score customer service records with strong demand, moderate quality, clear ownership, and low compliance risk.

예상 결과:

Priority category: Priority zone.
Main strength: Clear business demand and ownership.
Main gap: Improve quality controls before expansion.
Next step: Define a limited pilot with measurable outcomes.

"data-inventory-diagnosis-expert" 사용 중입니다. Design a two-week inventory for one business unit with five systems and limited documentation.

예상 결과:

Days 1-2: Confirm scope, owners, confidentiality, and evidence requests.
Days 3-6: Interview business, IT, data, and finance stakeholders.
Days 7-9: Verify metadata, volumes, quality indicators, ownership, and risks.
Day 10: Present the resource map, scores, priorities, and next actions.

보안 감사

안전

v1 • 2026. 9. 27. 버전별 보고서 열기

All 12 static findings are false positives caused by installation documentation, Markdown links, inline code formatting, or high-entropy Chinese text. The reviewed files contain no executable scripts, automated network requests, obfuscated payloads, prompt injection, or instructions to access hidden files during skill use.

스캔된 파일

410

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-inventory-diagnosis-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-inventory-diagnosis-expert/security.svg)](https://skillstore.io/skills/dhturing-data-inventory-diagnosis-expert?utm_source=security_passport_badge)

HTML 배지

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

임베드 카드

<iframe src="https://skillstore.io/embed/skills/dhturing-data-inventory-diagnosis-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-inventory-diagnosis-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-inventory-diagnosis-expert/audits/1

BibTeX 인용

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

Plan an Initial Data Inventory

Create a focused inventory scope, evidence request, interview plan, and delivery schedule.

Select First Data Asset Projects

Score candidate resources and select one to three practical projects for the first phase.

Prepare an Executive Diagnosis

Turn inventory evidence into a heat map, priority matrix, risk list, and action plan.

이 프롬프트를 사용해 보세요

Start a Basic Inventory

Create a data inventory plan for [organization]. Cover [scope] and list the documents, stakeholders, and nine interview questions required.

Score Candidate Resources

Score these data resources using the DMS weights: [resources and evidence]. Show each factor, assumption, total score, and recommended category.

Verify Data Volume Claims

Assess this data volume claim: [claim]. Design read-only sampling, screenshot, metadata, and database-statistic checks without retaining source data.

Build an Executive Roadmap

Use [inventory evidence] to create a full diagnosis. Include quality and ownership risks, a priority matrix, three first projects, costs, benefits, and dependencies.

모범 사례

Require evidence for every score, assumption, and recommendation.
Keep only necessary metadata and avoid retaining source data.
Start with one to three feasible projects before expanding the portfolio.

피하기

Do not accept reported data volumes without independent checks.
Do not treat an initial diagnosis as a legal opinion or formal valuation.
Do not prioritize value before resolving ownership and compliance concerns.

자주 묻는 질문

What information should I provide?

Provide the business scope, system list, data dictionary, process documents, candidate resources, known risks, and available evidence.

Does the skill access enterprise systems?

No. It provides methods and deliverables based on supplied information and recommends read-only validation.

How does the scoring model work?

It weights scale and scarcity, quality, ownership, scenarios, and compliance risk to produce a score out of 100.

How many projects should start first?

The method recommends one to three high-value, feasible projects for the first phase.

Can the result replace legal or valuation advice?

No. Ownership, compliance, accounting, and valuation conclusions require qualified professional review.

Which standards does the guidance reference?

It references Chinese data management, quality, classification, accounting, and valuation guidance described in the bundled knowledge base.

개발자 세부 정보

작성자

图灵数盟

라이선스

MIT

Skillstore 리비전

버전 안내

작성자가 버전을 선언하지 않았습니다.

리포지토리

https://github.com/dhturing/turing-data-experts/tree/9c58ffa97ec5b760befef6f910eb23107cdcdbf4/skills/data-inventory-diagnosis-expert

참조

50b73f83991cf073cbdf3f5afad2bbac71dd3bae

유지보수 최신성

2026. 9. 30.

사용량

0 다운로드 · 0 조회

파일 구조

📄 profile.md

📄 README.md

📁 references/

학술지 투고용 과학 그림 만들기

작성자 davila7

과학 그림은 크기, 해상도, 색상, 레이블 문제로 학술지 검사를 통과하지 못하는 경우가 많습니다. 이 스킬은 Claude, Codex, Claude Code가 접근성을 갖춘 출판용 그림을 만들 수 있도록 안내합니다.

데이터 및 분석 보기

data-inventory-diagnosis-expert

내 에이전트로 설치

에이전트가 읽기 쉬운 리소스

테스트해 보기

보안 감사

위험 요인

보고서 링크 복사

Markdown 배지

HTML 배지

임베드 카드

APA 인용

BibTeX 인용

CITATION.cff

Skillstore 점수

만들 수 있는 것

Plan an Initial Data Inventory

Select First Data Asset Projects

Prepare an Executive Diagnosis

이 프롬프트를 사용해 보세요

모범 사례

피하기

자주 묻는 질문

개발자 세부 정보

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