スキル data-asset-ledger-expert

📦

data-asset-ledger-expert

Name: data-asset-ledger-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

Build Auditable Data Asset Ledgers

Disconnected asset, finance, and rights records create reconciliation and audit gaps. This skill designs linked ledgers, asset cards, controls, and operating procedures.

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-asset-ledger-expert" from https://skillstore.io/skills/dhturing-data-asset-ledger-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-asset-ledger-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-asset-ledger-expert.md 署名済み manifest GET /api/skills/dhturing-data-asset-ledger-expert/manifest 署名済み lockfile GET /api/skills/dhturing-data-asset-ledger-expert/lockfile

テストする

「data-asset-ledger-expert」を使用しています。 Design a card for a customer behavior dataset.

期待される結果:

Asset card sections: identity and classification; source and rights; scale and storage; cost and amortization; quality and security; owner and status.

「data-asset-ledger-expert」を使用しています。 Explain why 20 assets are missing from the finance ledger.

期待される結果:

Investigation plan: compare identifiers, approval status, recognition criteria, disposal records, posting dates, and classification. Record each difference, owner, evidence, action, and due date.

「data-asset-ledger-expert」を使用しています。 Create an annual impairment review.

期待される結果:

Review each asset for declining relevance, lost use cases, technical replacement, legal restrictions, and reduced recoverable value. Document evidence, assumptions, approval, and accounting action.

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. The home path is installation documentation, backticks are Markdown, URLs are author links, and entropy signals reflect plain Chinese prose. No prompt injection, covert execution, encoded payload, or data exfiltration intent was found.

スキャンされたファイル

423

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

HTMLバッジ

<a href="https://skillstore.io/skills/dhturing-data-asset-ledger-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-asset-ledger-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-asset-ledger-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-asset-ledger-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-asset-ledger-expert/audits/1

BibTeX形式の引用

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

Create a First Ledger

Turn an approved data asset list into linked ledgers, asset cards, numbering rules, and ownership fields.

Resolve Ledger Differences

Analyze missing, retired, or differently classified assets and define a repeatable reconciliation process.

Prepare Audit Evidence

Organize inventory records, responsibility assignments, amortization data, impairment reviews, and supporting evidence indexes.

これらのプロンプトを試す

Draft an Asset Card

Create a data asset card for [asset name]. Include identity, ownership, technical, financial, security, responsibility, and status fields.

Design Three Ledgers

Design asset, finance, and rights ledgers for [organization]. Define shared identifiers, required fields, owners, update events, and reconciliation points.

Investigate a Reconciliation Gap

Our asset ledger has [count] items, while finance has [count]. Classify likely causes and provide investigation steps, evidence needs, and controls.

Build a Governance Program

Develop a governance program for [portfolio]. Include initialization, system integration, access control, quarterly reconciliation, inventory, impairment review, reporting, and handover.

ベストプラクティス

Use one stable identifier across asset, finance, rights, and supporting systems.
Keep evidence links, accountable owners, review dates, and approvals for every material change.
Reconcile ledgers regularly and resolve differences through documented ownership and deadlines.

回避

Do not create separate identifiers or uncontrolled copies for each system.
Do not record values or ownership conclusions without supporting evidence and stated assumptions.
Do not postpone inventory or impairment review until an audit request arrives.

よくある質問

What are the three ledgers?

They are the asset ledger, finance ledger, and rights ledger. Shared identifiers connect operational, accounting, and ownership information.

What belongs on a data asset card?

Include identity, source, rights, technical scale, financial data, quality, security, responsibility, status, and review dates.

Can this skill update our systems?

No. It designs structures and procedures but does not connect to or modify external systems.

How often should ledgers be reconciled?

The knowledge base proposes regular finance reconciliation and periodic inventory. Confirm the final schedule with organizational and regulatory requirements.

Does it provide a formal valuation?

No. It can organize inputs and controls, but licensed professionals must approve valuations and accounting conclusions.

Can it support audit preparation?

Yes. It can structure evidence indexes, reconciliation records, inventory results, impairment reviews, responsibilities, and change histories.