スキル data-standardization-expert

📦

data-standardization-expert

Name: data-standardization-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

Standardize Enterprise Data Practices

Organizations struggle to map data practices to current standards and produce consistent governance documents. This skill structures assessments, implementation plans, and standards drafting.

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

テストする

「data-standardization-expert」を使用しています。 Map standards for a data asset registration initiative.

期待される結果:

Priority 1: define data asset categories, identifiers, ownership fields, and registration evidence.
Priority 2: align quality measures with GB/T 36344 and classification controls with GB/T 43697.
Deliverables: applicable standards list, registration field standard, implementation plan, and review checklist.

「data-standardization-expert」を使用しています。 Outline an enterprise data quality standard.

期待される結果:

Proposed sections: scope, references, terms, quality dimensions, measurement rules, thresholds, exception handling, responsibilities, evidence, review cycle, and appendices.

「data-standardization-expert」を使用しています。 Assess whether we should join an association standard project.

期待される結果:

Evaluate strategic relevance, technical contribution, participation terms, total cost, staff capacity, publication rights, evidence of participation, and reputational risk before approval.

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 paths, Markdown code spans, attribution links, Chinese text, or CRLF formatting. The reviewed files contain no executable commands, network requests, encoded payloads, prompt injection, or other semantic security concerns.

スキャンされたファイル

460

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

HTMLバッジ

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

BibTeX形式の引用

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

Build an applicable standards map

Classify relevant standards, explain their purpose, and rank implementation priorities for a data governance program.

Draft an enterprise data standard

Create a review-ready structure for terminology, data quality, classification, registration, or management requirements.

Assess association standard participation

Evaluate participation routes, expected evidence, responsibilities, costs, timelines, and reputational risks.

これらのプロンプトを試す

Identify relevant standards

List standards relevant to [business scenario]. Group them by data elements, datasets, business terms, and management. Explain priority and applicability.

Analyze standardization gaps

Compare our current practice [describe practice] with [named standard]. Create a gap list with evidence needed, priority, owner, and recommended action.

Draft an enterprise standard

Draft an enterprise standard for [topic] using the documented GB/T 1.1 structure. Include scope, terms, requirements, methods, evidence, and appendices.

Design a standards program

Design a phased standards program for [organization]. Cover governance, applicable standards, implementation, conformity assessment, association participation, deliverables, dependencies, and risks.

ベストプラクティス

Confirm each standard's status, scope, and effective date with an authoritative source.
Separate mandatory obligations, voluntary guidance, contractual commitments, and internal policy.
Attach owners, evidence, review criteria, and realistic milestones to every implementation action.

回避

Do not treat a standards list as proof of operational compliance.
Do not claim certification, legal approval, or official endorsement without valid evidence.
Do not join a drafting project only for attribution without meaningful technical contribution.

よくある質問

What types of standards can this skill organize?

It covers national, industry, local, association, and enterprise standards related to data governance, quality, security, registration, and management.

Can it draft a complete enterprise standard?

It can create a structured draft and review checklist. Qualified stakeholders must validate technical, legal, and organizational requirements.

Does it confirm that a standard is current?

No. Verify status, amendments, replacements, and effective dates through authoritative standards sources before relying on any citation.

Can it certify compliance?

No. It can organize a self-assessment, gaps, and evidence needs, but certification requires an authorized assessment body.

How does it support association standard participation?

It structures opportunity review, application preparation, drafting contributions, meeting records, publication steps, expected costs, and risk checks.

What information produces the best result?

Provide the business scenario, jurisdiction, current processes, target standards, available evidence, stakeholders, deadlines, and intended deliverables.