Compétences vertical-industry-data-expert

📦

vertical-industry-data-expert

Name: vertical-industry-data-expert
Author: 图灵数盟

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

Plan Industry-Specific Data Asset Strategies

Generic data asset plans can miss sector rules, data ownership, buyer needs, and approval steps. This skill organizes industry selection, data assessment, compliance screening, commercialization scenarios, and repeatable delivery plans.

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 "vertical-industry-data-expert" from https://skillstore.io/skills/dhturing-vertical-industry-data-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-vertical-industry-data-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-vertical-industry-data-expert.md manifest signé GET /api/skills/dhturing-vertical-industry-data-expert/manifest lockfile signé GET /api/skills/dhturing-vertical-industry-data-expert/lockfile

Tester

Utilisation de « vertical-industry-data-expert ». Assess whether a hospital imaging dataset is ready for commercialization.

Résultat attendu:

Readiness: conditional, pending ownership, patient authorization, de-identification, and sector approval review.
Priority evidence: data inventory, notices, consent records, rights agreements, security controls, and permitted-use records.
Next step: obtain specialist review before selecting a buyer or valuation approach.

Utilisation de « vertical-industry-data-expert ». Turn a charging-network data project into a replication plan.

Résultat attendu:

Standardize the data inventory, metrics, compliance checks, buyer profile, and acceptance criteria.
Separate reusable methods from client-specific contracts, infrastructure, permissions, and financial assumptions.
Validate the package with a second customer before wider rollout.

Audit de sécurité

Sûr

v1 • 27/09/2026 Ouvrir le rapport versionné

All 12 static findings are false positives. The flagged paths, backticks, and URLs are documentation syntax or passive metadata, while the entropy alerts reflect readable multilingual Markdown. No prompt injection, data-exfiltration intent, or executable behavior was found.

Fichiers analysés

505

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: claude

Partager et citer ce rapport

Partagez le rapport d’évaluation versionné, le badge neutre, la carte intégrable et les citations. Skillstore présente les preuves sans décider si ce Skill est sûr.

Ouvrir le rapport versionné

Copier le lien du rapport

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

Badge HTML

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

Carte intégrable

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

Citation BibTeX

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

Prioritize a Data-Rich Sector

Compare candidate industries and select one or two sectors for focused data asset development.

Screen a Sector Data Project

Identify data traits, ownership questions, sensitive data, regulations, approvals, and evidence gaps before design.

Replicate a Benchmark Project

Turn one delivery into reusable materials, validation criteria, buyer messaging, and a rollout sequence.

Essayez ces prompts

Describe an Industry Data Opportunity

Analyze the data opportunity in [industry]. List data types, producers, update frequency, quality concerns, and value scenarios. State your assumptions.

Create a Compliance Screening Checklist

Review this [industry] data project in [jurisdiction]. Identify sensitive data, ownership questions, sector rules, approvals, evidence gaps, and required specialist reviews.

Map Scenarios and Buyers

For [data assets], rank commercial scenarios by value and feasibility. For each scenario, describe buyers, budget owners, decision makers, procurement routes, and proof requirements.

Design a Benchmark and Replication Plan

Design a benchmark project for [industry and client]. Include phases, inputs, controls, deliverables, acceptance criteria, dependencies, risks, and a replication plan.

Bonnes pratiques

Provide the industry, jurisdiction, data sources, rights, intended use, and available evidence.
Treat compliance and ownership as decision gates before valuation or commercialization.
Validate recommendations with current regulations, primary evidence, and qualified sector specialists.

Éviter

Do not reuse one generic data asset plan across industries with different regulatory obligations.
Do not present scenario assumptions, estimated values, or cited internal cases as verified facts.
Do not start commercialization while ownership, consent, approval, or data-quality questions remain unresolved.

Foire aux questions

Which industries does this skill cover?

It provides guidance for healthcare, agriculture, energy, education, carbon, trade finance, commodities, entertainment, consumer data, and related sectors.

Can it choose the best industry for my organization?

It can structure and score the decision. Final selection needs verified resources, market evidence, budgets, competition, and organizational priorities.

Does it provide legal or regulatory approval?

No. It identifies review areas and evidence gaps. Qualified specialists and authorities must confirm requirements.

Can it value a dataset?

It can prepare industry context and value scenarios. Defensible valuation requires verified financial evidence, suitable methods, and qualified professionals.

Does the package include the cited internal cases?

No. The knowledge base refers to internal materials, but the underlying documents and datasets are not included.

What information produces the best result?

Provide the industry, jurisdiction, data inventory, ownership evidence, collection basis, intended uses, buyer hypotheses, and known regulatory constraints.