Habilidades data-asset-valuation-expert

📦

data-asset-valuation-expert

Name: data-asset-valuation-expert
Author: 图灵数盟

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

Value Data Assets with Evidence

Data assets often lack active markets, making valuation methods and assumptions difficult to defend. This skill structures evidence-based valuations under Chinese appraisal guidance.

Compatible con: Claude Codex Code(CC)

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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-asset-valuation-expert" from https://skillstore.io/skills/dhturing-data-asset-valuation-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-asset-valuation-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-asset-valuation-expert.md Manifest firmado GET /api/skills/dhturing-data-asset-valuation-expert/manifest Lockfile firmado GET /api/skills/dhturing-data-asset-valuation-expert/lockfile

Pruébalo

Usando "data-asset-valuation-expert". A retailer wants to value customer behavior data for accounting recognition but has no direct data sales.

Resultado esperado:

Recommended approach: use the cost method as the primary method and test attributable efficiency gains through the income method. Verify ownership and compliance first.

Usando "data-asset-valuation-expert". A lender asks why financing is lower than the appraised value.

Resultado esperado:

The appraisal estimates asset value under stated assumptions. Credit limits may apply discounts for liquidity, enforceability, value volatility, and disposal uncertainty.

Usando "data-asset-valuation-expert". Review a valuation using a five-year income period and a high data contribution rate.

Resultado esperado:

Request evidence for data refresh cycles, customer retention, income attribution, and the contribution benchmark. Test shorter periods and lower contribution rates.

Auditoría de seguridad

Seguro

v1 • 27/9/2026 Abrir el informe versionado

All twelve static alerts are false positives caused by Markdown syntax, documented installation paths, public attribution links, and Chinese plaintext entropy. The skill contains no executable code, active network requests, obfuscated payloads, or prompt-injection instructions.

Archivos escaneados

428

Líneas analizadas

Elementos de revisión

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

Compartir y citar este informe

Comparte el informe de evaluación versionado, la insignia neutral, la tarjeta insertable y las citas. Skillstore presenta evidencias sin decidir si este Skill es seguro.

Abrir el informe versionado

Copiar enlace del informe

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

Insignia Markdown

[![Skillstore security assessment](https://skillstore.io/badges/skills/dhturing-data-asset-valuation-expert/security.svg)](https://skillstore.io/skills/dhturing-data-asset-valuation-expert?utm_source=security_passport_badge)

Insignia HTML

<a href="https://skillstore.io/skills/dhturing-data-asset-valuation-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-data-asset-valuation-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Tarjeta para insertar

<iframe src="https://skillstore.io/embed/skills/dhturing-data-asset-valuation-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-asset-valuation-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-asset-valuation-expert/audits/1

Cita BibTeX

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

Puntuación de Skillstore

Por qué esta puntuación Confianza de la evidencia: Medio

Arquitectura

Mantenibilidad

Contenido

Comunidad

Cumplimiento de la especificación

Lo que puedes crear

Prepare an accounting valuation

Define the asset boundary, select methods, request evidence, and prepare a review-ready valuation analysis.

Assess collateral support

Explain valuation assumptions, financing discounts, report validity, and evidence needed for lender review.

Review appraisal workpapers

Check parameter support, method selection, cross-validation, disclosures, and required signatures before report issuance.

Prueba estos prompts

Choose a valuation method

Assess this data asset: [description]. Ask for missing facts, then recommend suitable valuation methods and explain the selection.

Build an evidence request

Create a document request for valuing [asset] for [purpose] on [date]. Cover ownership, costs, income, quality, markets, and compliance.

Analyze valuation parameters

Evaluate these assumptions: [assumptions]. Test income attribution, useful life, discount rate, replacement cost, adjustment factors, and comparable transactions.

Draft a cross-validated conclusion

Compare these valuation results: [results]. Reconcile differences, perform sensitivity analysis, state limitations, and draft a defensible conclusion for [audience].

Mejores prácticas

Define the valuation purpose, asset boundary, value type, and date before selecting a method.
Document every material assumption with traceable evidence and run sensitivity tests for uncertain parameters.
Use at least two approaches when feasible and explain differences before forming a conclusion.

Evitar

Do not target a desired value or adjust unsupported parameters to meet financing expectations.
Do not treat replacement cost as value without evaluating quality, utility, market demand, and legal constraints.
Do not present an AI-generated analysis as a signed appraisal report from a licensed institution.

Preguntas frecuentes

Which valuation methods does this skill support?

It supports income, cost, and market approaches, including method selection and cross-validation.

Can it produce an official appraisal report?

It can draft report content, but a qualified institution and authorized appraisers must issue any official report.

What information should I provide?

Provide the valuation purpose, asset scope, date, ownership evidence, costs, income forecasts, quality records, contracts, and comparable transactions.

Can data without direct revenue be valued?

Yes. The cost approach may be suitable, while measurable cost savings or efficiency gains may support an income analysis.

Why can financing be lower than appraised value?

Lenders may discount for limited liquidity, uncertain disposal, regulatory risk, enforceability, and value volatility.

Does it work outside China?

The analytical methods are broadly useful, but regulatory references and reporting requirements require local professional review.