스킬 data-compliance-security-team
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data-compliance-security-team

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

Assess Data Compliance and Security

Complex data initiatives require coordinated legal, security, privacy, policy, standards, and sector review. This skill organizes those perspectives into evidence-based assessments and remediation plans.

지원: Claude Codex Code(CC)
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내 에이전트로 설치

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

에이전트 요청
Review the Skillstore skill "data-compliance-security-team" from https://skillstore.io/skills/dhturing-data-compliance-security-team.md and its manifest at https://skillstore.io/api/skills/dhturing-data-compliance-security-team/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.

테스트해 보기

"data-compliance-security-team" 사용 중입니다. Assess whether customer transaction data can be used for a new analytics product.

예상 결과:

  • Decision status: Conditional pending evidence review.
  • Priority checks: purpose compatibility, personal information basis, sensitive fields, retention, access controls, and important-data screening.
  • Next steps: complete the data inventory, document the legal basis, perform an impact assessment, and validate technical controls.

"data-compliance-security-team" 사용 중입니다. Prepare a healthcare data compliance work plan for a research partnership.

예상 결과:

  • Phase 1: classify medical, personal, sensitive, and genetic-resource data.
  • Phase 2: verify authorization, separate consent, ethics, export, and sector approval requirements.
  • Phase 3: define anonymization, access, audit, retention, incident response, and evidence owners.

"data-compliance-security-team" 사용 중입니다. Turn our data security gaps into a remediation roadmap.

예상 결과:

The roadmap groups red and orange risks by legal urgency, control dependency, accountable owner, required evidence, target date, and verification method.

보안 감사

안전
v1 • 2026. 9. 27. 버전별 보고서 열기

All nine static findings are false positives caused by documentation paths, Markdown formatting, public website links, or normal Chinese text. No executable behavior, covert network activity, obfuscated payload, or prompt injection was found.

4
스캔된 파일
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검토 항목
0
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위험 요인

📁 파일 시스템 접근 (2)
⚙️ 외부 명령어 (2)
🌐 네트워크 접근 (2)
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
보안 평가

보고서 링크 복사

https://skillstore.io/skills/dhturing-data-compliance-security-team/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-compliance-security-team/security.svg)](https://skillstore.io/skills/dhturing-data-compliance-security-team?utm_source=security_passport_badge)

HTML 배지

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

임베드 카드

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

BibTeX 인용

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

Skillstore 점수

이 점수의 이유 증거 신뢰도: 중간
55
아키텍처
85
유지보수성
87
콘텐츠
65
커뮤니티
83
사양 준수

만들 수 있는 것

Prepare a compliance readiness review

Build a phased review covering data classification, privacy, security controls, industry rules, evidence gaps, and remediation priorities.

Assess sensitive healthcare data

Screen personal information, consent, anonymization, human genetic resources, data export, and healthcare-specific obligations before a proposed use.

Plan security and standards work

Map classification, protection-level, security maturity, privacy assessment, and applicable standards into an accountable implementation plan.

이 프롬프트를 사용해 보세요

Start a basic compliance review
Review this data use case for major compliance and security concerns. List missing facts, applicable review areas, risks, and immediate next steps.
Create a data classification plan
Design a classification and grading workshop for our datasets. Include participants, required evidence, important-data screening, decisions, and expected deliverables.
Assess personal information processing
Assess this personal information workflow. Cover legal basis, notices, consent, sensitive information, impact assessment, retention, rights, security, and remediation.
Coordinate an advanced compliance program
Create a cross-functional compliance program for this data initiative. Assign expert roles, stage gates, evidence requirements, risk ratings, deliverables, dependencies, and verification steps.

모범 사례

  • Provide data categories, sources, purposes, recipients, locations, retention periods, systems, and jurisdictions.
  • Verify every cited requirement against current official sources and applicable sector rules.
  • Require evidence for each conclusion and assign accountable owners to every remediation action.

피하기

  • Do not treat a general checklist as a final legal opinion or regulatory approval.
  • Do not assume de-identification makes data anonymous without testing re-identification risk.
  • Do not begin commercialization before resolving ownership, personal information, important-data, and sector-specific gate issues.

자주 묻는 질문

Does this skill provide legal advice?
No. It structures analysis and identifies review needs, but qualified counsel must issue formal legal opinions.
Which compliance areas does it cover?
It covers data classification, security, personal information, healthcare data, policy, standards, market context, and remediation planning.
Can it determine whether data is important data?
It can organize screening and evidence, but final identification must follow current catalogs and competent authority requirements.
Can it complete a personal information impact assessment?
It can draft the structure, questions, risks, and controls. The organization must supply evidence and approve the final assessment.
Does it perform technical security testing?
No. It proposes controls and evidence checks but does not scan systems, test configurations, or conduct penetration testing.
How current are its legal and standards references?
The knowledge base has a stated September 23, 2026 baseline. Users must verify references against current official publications.

개발자 세부 정보

작성자

图灵数盟

라이선스

MIT

Skillstore 리비전

r1

버전 안내

작성자가 버전을 선언하지 않았습니다.

참조

50b73f83991cf073cbdf3f5afad2bbac71dd3bae

유지보수 최신성

2026. 9. 30.

사용량

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