Habilidades data-inventory-diagnosis-expert
📦

data-inventory-diagnosis-expert

Revisión del contenido r1 Seguro 📁 Acceso al sistema de archivos⚙️ Comandos externos🌐 Acceso a red

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.

Compatible con: Claude Codex Code(CC)
Maintain this Skill? Claim it 🥉 77 Bronce

Instalar con mi Agente

Copia esta solicitud en tu Agente. Incluye la página canónica del Skill y el manifiesto.

Solicitud de agente
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.

Tu Agente debe seguir mostrando su plan y solicitar cualquier confirmación exigida por la política de seguridad.

Recursos legibles por agentes

Usa estos enlaces cuando un agente de IA, crawler o script necesite contexto limpio en vez de leer la página completa.

Detalle Markdown GET /skills/dhturing-data-inventory-diagnosis-expert.md Manifest firmado GET /api/skills/dhturing-data-inventory-diagnosis-expert/manifest Lockfile firmado GET /api/skills/dhturing-data-inventory-diagnosis-expert/lockfile

Pruébalo

Usando "data-inventory-diagnosis-expert". Score customer service records with strong demand, moderate quality, clear ownership, and low compliance risk.

Resultado esperado:

  • 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.

Usando "data-inventory-diagnosis-expert". Design a two-week inventory for one business unit with five systems and limited documentation.

Resultado esperado:

  • 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.

Auditoría de seguridad

Seguro
v1 • 27/9/2026 Abrir el informe versionado

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
Archivos escaneados
410
Líneas analizadas
0
Elementos de revisión
0
Falsos positivos ignorados

Factores de riesgo

📁 Acceso al sistema de archivos (2)
profile.md:38 profile.md:38
⚙️ Comandos externos (3)
SKILL.md:20 SKILL.md:26 SKILL.md:33
🌐 Acceso a red (2)
SKILL.md:6 SKILL.md:12
La auditoría estática y semántica completada más reciente no detectó hallazgos de seguridad confirmados. Esto no demuestra que el skill no tenga efectos secundarios.
Auditado por: codex
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Abrir el informe versionado
Evaluación de seguridad

Copiar enlace del informe

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

Insignia Markdown

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Insignia HTML

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Tarjeta para insertar

<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>
Citas académicas (APA · BibTeX · CFF)

Cita APA

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

Cita BibTeX

@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"

Puntuación de Skillstore

Por qué esta puntuación Confianza de la evidencia: Medio
55
Arquitectura
85
Mantenibilidad
87
Contenido
65
Comunidad
83
Cumplimiento de la especificación

Lo que puedes crear

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.

Prueba estos prompts

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.

Mejores prácticas

  • 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.

Evitar

  • 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.

Preguntas frecuentes

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.

Detalles del desarrollador

Licencia

MIT

Revisión de Skillstore

r1

Aviso de versión

El autor no declaró una versión.

Repositorio

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

Ref.

50b73f83991cf073cbdf3f5afad2bbac71dd3bae

Actualidad del mantenimiento

30/9/2026

Uso

0 descargas · 0 vistas

Estructura de archivos

📄 profile.md

📄 README.md

📁 references/

📄 knowledge-base.md

📄 SKILL.md