Compétences data-value-assessment-expert

📦

data-value-assessment-expert

Name: data-value-assessment-expert
Author: 图灵数盟

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

Assess Data Value and Prioritize Opportunities

Organizations often overlook valuable uses for their data or cannot explain where value originates. This skill provides structured diagnosis, measurement guidance, and prioritized improvement actions.

Prend en charge: Claude Codex Code(CC)

🥉 77 Bronze

Maintain this Skill? Claim it 🥉 77 Bronze

Installer avec mon Agent

Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.

Demande d’agent

Review the Skillstore skill "data-value-assessment-expert" from https://skillstore.io/skills/dhturing-data-value-assessment-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-value-assessment-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-value-assessment-expert.md manifest signé GET /api/skills/dhturing-data-value-assessment-expert/manifest lockfile signé GET /api/skills/dhturing-data-value-assessment-expert/lockfile

Tester

Utilisation de « data-value-assessment-expert ». Assess customer service transcripts for overlooked value.

Résultat attendu:

Strongest value: cost reduction through automated issue classification.
Secondary value: product improvement from recurring complaint patterns.
Main gap: unclear consent for uses beyond service delivery.
Next action: validate permissions before testing external scenarios.

Utilisation de « data-value-assessment-expert ». Diagnose the value of weekly logistics data.

Résultat attendu:

The weakest factor is buyer action because interest lacks paid validation. Run two buyer interviews and a limited pilot before forecasting revenue.

Utilisation de « data-value-assessment-expert ». Prioritize three uses for equipment sensor data.

Résultat attendu:

First: predictive maintenance, supported by downtime records and an internal owner.
Second: warranty risk analysis, pending quality checks.
Third: external benchmarking, pending authorization and buyer validation.

Audit de sécurité

Sûr

v1 • 27/09/2026 Ouvrir le rapport versionné

All twelve static findings are false positives. The files contain normal Markdown documentation, Chinese UTF-8 prose, installation paths, inline code formatting, and author links without executable behavior, concealed payloads, or prompt injection.

Fichiers analysés

424

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

Copier le lien du rapport

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

Badge HTML

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

Carte intégrable

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

Citation BibTeX

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

Map overlooked value

Review a data portfolio across nine value types and identify evidence gaps.

Prioritize product scenarios

Compare candidate data products and rank their most credible use scenarios.

Prepare investment decisions

Separate realized benefits from potential value and identify improvement priorities.

Essayez ces prompts

Identify value types

Review this dataset across all nine value types. For each type, state relevance, evidence, and missing information.

Diagnose value factors

Score the five value factors from one to five. Explain each score, identify the weakest factor, and recommend improvements.

Rank value scenarios

Compare these internal and external scenarios by market scale, buyer value, competition, compliance, and evidence. Rank them with stated assumptions.

Build an assessment report

Create a complete data value assessment. Include value types, five-factor diagnosis, data map, scenario ranking, measurement ranges, decay risks, and actions.

Bonnes pratiques

Provide evidence for each score and label every assumption.
Separate realized benefits, validated opportunities, and speculative potential.
Complete rights and compliance checks before recommending external use.

Éviter

Do not treat stated buyer interest as proven willingness to pay.
Do not present potential value as current revenue or asset value.
Do not rank scenarios without considering permissions, quality, and alternatives.

Foire aux questions

Does this skill produce a formal asset valuation?

No. It analyzes value sources and opportunities but does not replace a licensed valuation report.

What information should I provide?

Provide data sources, fields, quality, permissions, current uses, candidate buyers, operating costs, and available performance evidence.

How are value opportunities classified?

The framework reviews nine types, including revenue, savings, efficiency, risk, decisions, financing, ecosystem, compliance, and strategic options.

Can it estimate monetary value?

It can create evidence-based ranges when sufficient inputs exist. Every estimate should state its method, assumptions, and uncertainty.

How does it find cross-industry opportunities?

It examines other industries, buyer problems, comparable uses, and complementary datasets. These opportunities still require market and compliance validation.

Can it handle confidential data?

Use summaries or approved samples. Follow organizational controls and avoid sharing personal, restricted, or proprietary records without authorization.