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.
Installer avec mon Agent
Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.
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.Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.
Ressources lisibles par les agents
Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.
Tester
Utilisation de « data-trust-expert ». Assess a customer analytics dataset for a five-year self-benefit trust.
Résultat attendu:
Provisional result: remediation required. Confirm transferable operating or revenue rights, privacy compliance, registration duration, trustee acceptance, tax treatment, and renewal terms.
Utilisation de « data-trust-expert ». Outline a public data trust for a municipal transport program.
Résultat attendu:
- 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.
Utilisation de « data-trust-expert ». Compare trust modes for employee incentives and a future securitization.
Résultat attendu:
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.
Audit de sécurité
SûrAll 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.
Facteurs de risque
📁 Accès au système de fichiers (2)
⚙️ Commandes externes (3)
🌐 Accès réseau (2)
Partager et citer ce rapport
Partagez le rapport d’évaluation versionné, le badge neutre, la carte intégrable et les citations. Skillstore présente les preuves sans décider si ce Skill est sûr.
Copier le lien du rapport
https://skillstore.io/skills/dhturing-data-trust-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportBadge Markdown
[](https://skillstore.io/skills/dhturing-data-trust-expert?utm_source=security_passport_badge)Badge 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>Carte intégrable
<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>Citations académiques (APA · BibTeX · CFF)
Citation 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/1Citation 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"
Score Skillstore
Pourquoi ce score Niveau de confiance des preuves: MoyenCe que vous pouvez créer
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.
Essayez ces prompts
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].
Bonnes pratiques
- 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.
Éviter
- 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.
Foire aux questions
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?
Détails du développeur
Auteur
图灵数盟Licence
MIT
Révision Skillstore
r1
Avis de version
L’auteur n’a déclaré aucune version.
Réf
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
Récence de maintenance
30/09/2026
Utilisation
0 téléchargements · 0 vues
Structure de fichiers