스킬 data-trust-expert

📦

data-trust-expert

Name: data-trust-expert
Author: 图灵数盟

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

Design a Data Asset Trust Structure

Data asset trust projects require clear rights, governance, term alignment, and regulated counterparties. This skill creates structured assessments and plans with explicit review boundaries.

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

테스트해 보기

"data-trust-expert" 사용 중입니다. Assess a customer analytics dataset for a five-year self-benefit trust.

예상 결과:

Provisional result: remediation required. Confirm transferable operating or revenue rights, privacy compliance, registration duration, trustee acceptance, tax treatment, and renewal terms.

"data-trust-expert" 사용 중입니다. Outline a public data trust for a municipal transport program.

예상 결과:

Proposed roles: the authorized authority acts as settlor, a licensed trust company serves as trustee, and a specialist operates approved products.
Key controls: define authorization scope, permitted uses, security duties, revenue allocation, audit rights, renewal, and termination.
Required reviews: public data authority, legal counsel, trustee, privacy and security specialists, and tax advisers.

"data-trust-expert" 사용 중입니다. Compare trust modes for employee incentives and a future securitization.

예상 결과:

Use a third-party-benefit structure for defined employee beneficiaries. Evaluate a separate property-right trust for securitization after rights, cash flows, and eligibility are verified.

보안 감사

안전

v1 • 2026. 9. 27. 버전별 보고서 열기

All 12 static findings are false positives caused by documentation examples, Markdown formatting, ordinary attribution links, and multilingual text entropy. No executable behavior, network requests, obfuscated payloads, prompt injection, or data exfiltration intent was found.

스캔된 파일

391

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

HTML 배지

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

임베드 카드

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

BibTeX 인용

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

Assess Trust Feasibility

Identify missing rights evidence, compliance gates, suitable trust purposes, and required professional reviews.

Structure Public Data Operations

Map government, trustee, operator, and beneficiary roles with clear authorization and governance boundaries.

Prepare an ABS Structure

Outline a property-right trust vehicle, required asset evidence, term alignment, and downstream review tasks.

이 프롬프트를 사용해 보세요

Explain the Basics

Explain data asset trusts, their main structures, and why the trust property should be defined as rights rather than raw data.

Run a Feasibility Review

Assess this data asset for trust suitability: [asset], [rights evidence], [purpose], [registration term], [data categories], and [current restrictions].

Draft the Nine Elements

Design the nine trust elements for [project], list assumptions, identify missing evidence, and assign legal, tax, trustee, and security reviews.

Stress-Test an Advanced Structure

Review this proposed trust and ABS structure for ownership, transfer, bankruptcy remoteness, registration, tax, governance, security, and exit risks: [details].

모범 사례

Provide rights evidence, data categories, project purpose, registration status, and intended beneficiaries.
Treat legal, tax, security, trustee, and regulatory reviews as mandatory decision gates.
Separate verified facts, assumptions, unresolved questions, and professional recommendations in every deliverable.

피하기

Do not treat raw data possession as proof of transferable trust property.
Do not promise financing, bankruptcy protection, tax outcomes, or regulatory approval.
Do not set a trust term without checking registration validity, renewal, and exit requirements.

자주 묻는 질문

Can this skill determine whether a trust is legally valid?

No. It provides a structured assessment that must be reviewed by qualified counsel and a licensed trust company.

Does it place raw data into a trust?

It focuses on identifiable and transferable data-related rights, because raw data may not be suitable trust property.

Can it guarantee bankruptcy remoteness?

No. That outcome depends on valid transfer, trust formation, documentation, applicable law, and transaction facts.

Does it calculate final tax liabilities?

No. It identifies taxable events and analysis inputs, then directs final conclusions to qualified tax advisers.

Can it recommend a specific trust company?

It can define selection criteria and due diligence questions, but it cannot verify or endorse a provider.

What information improves the assessment?

Provide rights records, data categories, consent basis, registration terms, revenue model, parties, purpose, restrictions, and desired exit arrangements.