Compétences data-standardization-expert

📦

data-standardization-expert

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

Révision du contenu r1 Sûr 📁 Accès au système de fichiers⚙️ Commandes externes🌐 Accès réseau

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.

Prend en charge: Claude Codex Code(CC)

🥉 77 Bronze

Maintain this Skill? Claim it 🥉 77 Bronze

Installer avec mon Agent

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Demande d’agent

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.

Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.

Ressources lisibles par les agents

Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.

Détail Markdown GET /skills/dhturing-data-standardization-expert.md manifest signé GET /api/skills/dhturing-data-standardization-expert/manifest lockfile signé GET /api/skills/dhturing-data-standardization-expert/lockfile

Tester

Utilisation de « data-standardization-expert ». Map standards for a data asset registration initiative.

Résultat attendu:

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.

Utilisation de « data-standardization-expert ». Outline an enterprise data quality standard.

Résultat attendu:

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

Utilisation de « data-standardization-expert ». Assess whether we should join an association standard project.

Résultat attendu:

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

Audit de sécurité

Sûr

v1 • 27/09/2026 Ouvrir le rapport versionné

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.

Fichiers analysés

460

Lignes analysées

Éléments à examiner

Faux positifs ignorés

Facteurs de risque

📁 Accès au système de fichiers (2)

profile.md:38 profile.md:38

⚙️ Commandes externes (3)

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

🌐 Accès réseau (2)

SKILL.md:6 SKILL.md:12

Le dernier audit statique et sémantique terminé n’a détecté aucun constat de sécurité confirmé. Cela ne prouve pas que le skill est sans effets secondaires.

Audité par: codex

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Ouvrir le rapport versionné

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https://skillstore.io/skills/dhturing-data-standardization-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Badge Markdown

[![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)

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Carte intégrable

<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>

Citations académiques (APA · BibTeX · CFF)

Citation APA

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

Citation BibTeX

@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"

Score Skillstore

Pourquoi ce score Niveau de confiance des preuves: Moyen

Architecture

Maintenabilité

Contenu

Communauté

Conformité aux spécifications

Ce que vous pouvez créer

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.

Essayez ces prompts

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.

Bonnes pratiques

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.

Éviter

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.

Foire aux questions

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.