スキル data-trust-expert

📦

data-trust-expert

Name: data-trust-expert
Author: 图灵数盟

コンテンツリビジョン r1 安全 📁 ファイルシステムへのアクセス⚙️ 外部コマンド🌐 ネットワークアクセス

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.

対応: Claude Codex Code(CC)

🥉 77 ブロンズ

Maintain this Skill? Claim it 🥉 77 ブロンズ

自分のエージェントでインストール

このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。

エージェントリクエスト

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.

エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。

エージェントが読めるリソース

AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。

Markdown詳細 GET /skills/dhturing-data-trust-expert.md 署名済み manifest GET /api/skills/dhturing-data-trust-expert/manifest 署名済み lockfile GET /api/skills/dhturing-data-trust-expert/lockfile

テストする

「data-trust-expert」を使用しています。 Assess a customer analytics dataset for a five-year self-benefit trust.

期待される結果:

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

「data-trust-expert」を使用しています。 Outline a public data trust for a municipal transport program.

期待される結果:

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」を使用しています。 Compare trust modes for employee incentives and a future securitization.

期待される結果:

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.

セキュリティ監査

安全

v1 • 2026/9/27 バージョン別レポートを開く

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.

スキャンされたファイル

391

解析済み行数

レビュー項目

誤検知を無視

リスク要因

📁 ファイルシステムへのアクセス (2)

profile.md:38 profile.md:38

⚙️ 外部コマンド (3)

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

🌐 ネットワークアクセス (2)

SKILL.md:6 SKILL.md:12

最新の完了済み静的・セマンティック監査では、確認済みのセキュリティ検出事項は見つかりませんでした。これは、スキルに副作用がないことを証明するものではありません。

監査者: codex

このレポートを共有・引用

バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。

バージョン別レポートを開く

レポートリンクをコピー

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

Markdownバッジ

[![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バッジ

<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>

埋め込みカード

<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>

学術引用 (APA · BibTeX · CFF)

APA形式の引用

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形式の引用

@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 スコア

このスコアの理由証拠の信頼度: 中

アーキテクチャ

保守性

コンテンツ

コミュニティ

仕様準拠

作成できるもの

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.

これらのプロンプトを試す

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].

ベストプラクティス

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.

回避

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.

よくある質問

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.