data-trust-expert
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.
Установить с помощью моего Агента
Скопируйте этот запрос в своего Агента. Он содержит каноническую страницу Skill и манифест.
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.Ваш Агент по-прежнему должен показать план и запросить все подтверждения, требуемые политикой безопасности.
Ресурсы для AI-агентов
Используйте эти ссылки, когда AI-агенту, crawler или script нужен чистый контекст вместо полной страницы.
Протестировать
Использование «data-trust-expert». Assess a customer analytics dataset for a five-year self-benefit trust.
Ожидаемый результат:
Provisional result: remediation required. Confirm transferable operating or revenue rights, privacy compliance, registration duration, trustee acceptance, tax treatment, and renewal terms.
Использование «data-trust-expert». Outline a public data trust for a municipal transport program.
Ожидаемый результат:
- 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.
Использование «data-trust-expert». Compare trust modes for employee incentives and a future securitization.
Ожидаемый результат:
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.
Аудит безопасности
БезопасноAll 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.
Факторы риска
📁 Доступ к файловой системе (2)
⚙️ Внешние команды (3)
🌐 Доступ к сети (2)
Поделиться и цитировать этот отчет
Делитесь версионным отчетом об оценке, нейтральным значком, встраиваемой карточкой и цитатами. Skillstore публикует доказательства, не решая, безопасен ли этот Skill.
Копировать ссылку на отчёт
https://skillstore.io/skills/dhturing-data-trust-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportЗначок Markdown
[](https://skillstore.io/skills/dhturing-data-trust-expert?utm_source=security_passport_badge)Значок HTML
<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>Встраиваемая карточка
<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>Академические ссылки (APA · BibTeX · CFF)
Цитата 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/1Цитата 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"
Оценка Skillstore
Почему такая оценка Достоверность доказательств: СреднийЧто вы можете построить
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.
Попробуйте эти промпты
Explain data asset trusts, their main structures, and why the trust property should be defined as rights rather than raw data.
Assess this data asset for trust suitability: [asset], [rights evidence], [purpose], [registration term], [data categories], and [current restrictions].
Design the nine trust elements for [project], list assumptions, identify missing evidence, and assign legal, tax, trustee, and security reviews.
Review this proposed trust and ABS structure for ownership, transfer, bankruptcy remoteness, registration, tax, governance, security, and exit risks: [details].
Лучшие практики
- 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.
Избегать
- 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.
Часто задаваемые вопросы
Can this skill determine whether a trust is legally valid?
Does it place raw data into a trust?
Can it guarantee bankruptcy remoteness?
Does it calculate final tax liabilities?
Can it recommend a specific trust company?
What information improves the assessment?
Сведения для разработчиков
Автор
图灵数盟Лицензия
MIT
Ревизия Skillstore
r1
Примечание о версии
Автор не указал версию.
Ссылка
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
Актуальность поддержки
30.09.2026
Использование
0 загрузок · 0 просмотров
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