スキル data-resource-governance-expert

📦

data-resource-governance-expert

Name: data-resource-governance-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

Govern Data Resources for Asset Readiness

Scattered data lacks ownership, quality evidence, and consistent classification. This skill applies DCMM-based methods to create practical governance plans and deliverables.

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

テストする

「data-resource-governance-expert」を使用しています。 Our customer data spans CRM, billing, and support systems. What should we inventory first?

期待される結果:

Scope: customer master, contact, contract, billing, and service records.
Evidence: system owners, table lists, update frequency, usage, sharing, and retention.
Priority: records supporting revenue, customer obligations, reporting, or external use.

「data-resource-governance-expert」を使用しています。 How should responsibility be assigned for product master data?

期待される結果:

Assign a business owner for policy, a steward for definitions and quality, and a custodian for technical controls. Name accountable roles and evidence.

「data-resource-governance-expert」を使用しています。 What should a DCMM gap summary contain?

期待される結果:

Include domain scores, cited evidence, missing controls, business impact, target maturity, accountable owners, recommended actions, dependencies, and review dates.

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 documented installation paths, Markdown formatting, public homepage links, or multilingual plain text. No command execution, network request, obfuscated payload, prompt injection, or harmful intent was found.

スキャンされたファイル

388

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

HTMLバッジ

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

BibTeX形式の引用

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

Scope an asset-readiness program

Define a focused governance scope, inventory plan, deliverables, responsibilities, and schedule for data intended for accounting, valuation, or exchange.

Evaluate DCMM maturity

Structure evidence collection across eight capability domains, score current practices, identify gaps, and prioritize a practical improvement roadmap.

Build auditable governance artifacts

Draft catalogs, responsibility matrices, classification tables, quality rules, metadata requirements, and lifecycle procedures for review.

これらのプロンプトを試す

Start a data inventory

Help me scope a data inventory for [business area]. List required inputs, interview roles, inventory fields, and first-week deliverables.

Draft a responsibility matrix

Create an owner, steward, and custodian matrix for [data domains]. Define decisions, operating duties, approvals, evidence, and escalation paths.

Assess DCMM maturity

Assess our evidence against DCMM eight domains. Show assumptions, provisional scores, evidence gaps, priority risks, and a phased improvement roadmap.

Design an asset-readiness governance program

Design governance for [data assets] supporting [accounting, valuation, or exchange]. Integrate cataloging, lineage, classification, quality, ownership, controls, acceptance criteria, and handover.

ベストプラクティス

Start with data tied to a defined business outcome and document the scope boundary.
Support every maturity score, classification, and ownership decision with named evidence.
Have business, technology, security, legal, and finance stakeholders review relevant deliverables.

回避

Do not launch an enterprise-wide program before agreeing priorities, boundaries, owners, and acceptance criteria.
Do not assign accountability only to departments; name specific roles with decisions and duties.
Do not treat governance completion as automatic approval for accounting, valuation, or exchange.

よくある質問

Does this skill certify DCMM maturity?

No. It structures a self-assessment and improvement plan. Formal certification requires an authorized assessment process.

Can it create a data resource catalog?

Yes. It can define the hierarchy, fields, responsibilities, and review rules when you provide system and business details.

What evidence should I provide?

Provide policies, system inventories, metadata, lineage, quality reports, access controls, ownership records, issue logs, and representative business use cases.

Does governance make data ready for accounting recognition?

Not by itself. Governance supports evidence, but accounting recognition also requires compliant control, identifiability, and reliable measurement.

Can it classify confidential data?

It can propose classifications and handling requirements. Security, legal, and business owners must validate the result against current obligations.

Can it connect to our databases?

No. The skill provides methods and document drafts from supplied information. It does not automatically access systems or extract metadata.