スキル data-inventory-diagnosis-expert
📦

data-inventory-diagnosis-expert

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

Diagnose and Prioritize Enterprise Data Assets

Organizations often lack a reliable view of which data resources deserve investment. This skill maps, scores, and prioritizes assets for focused next steps.

対応: Claude Codex Code(CC)
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-inventory-diagnosis-expert" from https://skillstore.io/skills/dhturing-data-inventory-diagnosis-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-inventory-diagnosis-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-inventory-diagnosis-expert.md 署名済み manifest GET /api/skills/dhturing-data-inventory-diagnosis-expert/manifest 署名済み lockfile GET /api/skills/dhturing-data-inventory-diagnosis-expert/lockfile

テストする

「data-inventory-diagnosis-expert」を使用しています。 Score customer service records with strong demand, moderate quality, clear ownership, and low compliance risk.

期待される結果:

  • Priority category: Priority zone.
  • Main strength: Clear business demand and ownership.
  • Main gap: Improve quality controls before expansion.
  • Next step: Define a limited pilot with measurable outcomes.

「data-inventory-diagnosis-expert」を使用しています。 Design a two-week inventory for one business unit with five systems and limited documentation.

期待される結果:

  • Days 1-2: Confirm scope, owners, confidentiality, and evidence requests.
  • Days 3-6: Interview business, IT, data, and finance stakeholders.
  • Days 7-9: Verify metadata, volumes, quality indicators, ownership, and risks.
  • Day 10: Present the resource map, scores, priorities, and next actions.

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 installation documentation, Markdown links, inline code formatting, or high-entropy Chinese text. The reviewed files contain no executable scripts, automated network requests, obfuscated payloads, prompt injection, or instructions to access hidden files during skill use.

4
スキャンされたファイル
410
解析済み行数
0
レビュー項目
0
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
セキュリティ評価

レポートリンクをコピー

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

HTMLバッジ

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

BibTeX形式の引用

@techreport{dhturing-data-inventory-diagnosis-expert-2026, author = {图灵数盟}, title = {data-inventory-diagnosis-expert security audit report (audit version 1)}, institution = {Skillstore}, year = {2026}, number = {1}, url = {https://skillstore.io/skills/dhturing-data-inventory-diagnosis-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-inventory-diagnosis-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-inventory-diagnosis-expert/audits/1" identifiers: - type: other value: "skillstore:dhturing-data-inventory-diagnosis-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
55
アーキテクチャ
85
保守性
87
コンテンツ
65
コミュニティ
83
仕様準拠

作成できるもの

Plan an Initial Data Inventory

Create a focused inventory scope, evidence request, interview plan, and delivery schedule.

Select First Data Asset Projects

Score candidate resources and select one to three practical projects for the first phase.

Prepare an Executive Diagnosis

Turn inventory evidence into a heat map, priority matrix, risk list, and action plan.

これらのプロンプトを試す

Start a Basic Inventory 
Create a data inventory plan for [organization]. Cover [scope] and list the documents, stakeholders, and nine interview questions required.
Score Candidate Resources 
Score these data resources using the DMS weights: [resources and evidence]. Show each factor, assumption, total score, and recommended category.
Verify Data Volume Claims 
Assess this data volume claim: [claim]. Design read-only sampling, screenshot, metadata, and database-statistic checks without retaining source data.
Build an Executive Roadmap 
Use [inventory evidence] to create a full diagnosis. Include quality and ownership risks, a priority matrix, three first projects, costs, benefits, and dependencies.

ベストプラクティス

  • Require evidence for every score, assumption, and recommendation.
  • Keep only necessary metadata and avoid retaining source data.
  • Start with one to three feasible projects before expanding the portfolio.

回避

  • Do not accept reported data volumes without independent checks.
  • Do not treat an initial diagnosis as a legal opinion or formal valuation.
  • Do not prioritize value before resolving ownership and compliance concerns.

よくある質問

What information should I provide?
Provide the business scope, system list, data dictionary, process documents, candidate resources, known risks, and available evidence.
Does the skill access enterprise systems?
No. It provides methods and deliverables based on supplied information and recommends read-only validation.
How does the scoring model work?
It weights scale and scarcity, quality, ownership, scenarios, and compliance risk to produce a score out of 100.
How many projects should start first?
The method recommends one to three high-value, feasible projects for the first phase.
Can the result replace legal or valuation advice?
No. Ownership, compliance, accounting, and valuation conclusions require qualified professional review.
Which standards does the guidance reference?
It references Chinese data management, quality, classification, accounting, and valuation guidance described in the bundled knowledge base.

開発者情報

作成者

图灵数盟

ライセンス

MIT

Skillstore リビジョン

r1

バージョンに関する注意

作者はバージョンを宣言していません。

リポジトリ

https://github.com/dhturing/turing-data-experts/tree/9c58ffa97ec5b760befef6f910eb23107cdcdbf4/skills/data-inventory-diagnosis-expert

参照

50b73f83991cf073cbdf3f5afad2bbac71dd3bae

メンテナンスの新しさ

2026/9/30

利用状況

0 ダウンロード · 0 閲覧

ファイル構成

📄 profile.md

📄 README.md

📁 references/

📄 knowledge-base.md

📄 SKILL.md