Fähigkeiten data-standardization-expert

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data-standardization-expert

Name: data-standardization-expert
Author: 图灵数盟

Inhaltsrevision r1 Sicher 📁 Dateisystemzugriff⚙️ Externe Befehle🌐 Netzwerkzugriff

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.

Unterstützt: Claude Codex Code(CC)

🥉 77 Bronze

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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.

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Testen

„data-standardization-expert“ wird verwendet. Map standards for a data asset registration initiative.

Erwartetes Ergebnis:

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“ wird verwendet. Outline an enterprise data quality standard.

Erwartetes Ergebnis:

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

„data-standardization-expert“ wird verwendet. Assess whether we should join an association standard project.

Erwartetes Ergebnis:

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

Sicherheitsaudit

Sicher

v1 • 27.9.2026 Versionsbericht öffnen

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.

Gescannte Dateien

460

Analysierte Zeilen

Prüfelemente

Falschmeldungen ignoriert

Risikofaktoren

📁 Dateisystemzugriff (2)

profile.md:38 profile.md:38

⚙️ Externe Befehle (3)

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

🌐 Netzwerkzugriff (2)

SKILL.md:6 SKILL.md:12

Das letzte abgeschlossene statische und semantische Audit erkannte keine bestätigten Sicherheitsbefunde. Dies beweist nicht, dass der Skill keine Nebenwirkungen hat.

Geprüft von: codex

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Markdown-Badge

[![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-Badge

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Einbettungskarte

<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>

Wissenschaftliche Zitate (APA · BibTeX · CFF)

APA-Zitat

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-Zitat

@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-Score

Warum dieser Score Evidenzvertrauen: Mittel

Architektur

Wartbarkeit

Inhalt

Gemeinschaft

Spezifikationskonformität

Was Sie erstellen können

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.

Diese Prompts ausprobieren

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.

Bewährte Praktiken

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.

Vermeiden

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.

Häufig gestellte Fragen

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.