Habilidades data-trust-expert

📦

data-trust-expert

Name: data-trust-expert
Author: 图灵数盟

Revisão do conteúdo r1 Seguro 📁 Acesso ao sistema de arquivos⚙️ Comandos externos🌐 Acesso à rede

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.

Suporta: Claude Codex Code(CC)

🥉 77 Bronze

Instalar com meu Agente

Copie esta solicitação para o seu Agente. Ela inclui a página canônica do Skill e o manifesto.

Solicitação do agente

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.

Seu Agente ainda deve apresentar o plano e solicitar qualquer confirmação exigida pela política de segurança.

Recursos legíveis por agentes

Use estes links quando um agente de IA, crawler ou script precisar de contexto limpo em vez de ler a página completa.

Detalhe em Markdown GET /skills/dhturing-data-trust-expert.md manifest assinado GET /api/skills/dhturing-data-trust-expert/manifest lockfile assinado GET /api/skills/dhturing-data-trust-expert/lockfile

Testar

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

Resultado esperado:

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

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

Resultado esperado:

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.

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

Resultado esperado:

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.

Auditoria de segurança

Seguro

v1 • 27/09/2026 Abrir o relatório versionado

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.

Arquivos analisados

391

Linhas analisadas

Itens de revisão

Falsos positivos ignorados

Fatores de risco

📁 Acesso ao sistema de arquivos (2)

profile.md:38 profile.md:38

⚙️ Comandos externos (3)

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

🌐 Acesso à rede (2)

SKILL.md:6 SKILL.md:12

A auditoria estática e semântica concluída mais recente não detectou achados de segurança confirmados. Isso não comprova que a skill não tenha efeitos colaterais.

Auditado por: codex

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https://skillstore.io/skills/dhturing-data-trust-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Badge Markdown

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Cartão incorporável

<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>

Citações acadêmicas (APA · BibTeX · CFF)

Citação APA

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

Citação BibTeX

@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"

Pontuação do Skillstore

Por que esta pontuação Confiança das evidências: Médio

Arquitetura

Manutenibilidade

Conteúdo

Comunidade

Conformidade com a especificação

O que você pode criar

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.

Teste estes prompts

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].

Boas práticas

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.

Evitar

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.

Perguntas frequentes

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.