Compétences data-element-market-expert

📦

data-element-market-expert

Name: data-element-market-expert
Author: 图灵数盟

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

Analyze China's Data Element Market

Data element strategies often rely on fragmented evidence and inflated market claims. This skill structures maturity, competition, opportunities, and sizing with explicit assumptions.

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-element-market-expert" from https://skillstore.io/skills/dhturing-data-element-market-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-data-element-market-expert/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

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Ressources lisibles par les agents

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

Tester

Utilisation de « data-element-market-expert ». Assess the current maturity of China's data element market.

Résultat attendu:

Stage: transition from model exploration toward scaling.
Signals: established accounting cases, limited transaction volume, early financialization, and emerging public data authorization.
Uncertainty: validate current volumes and policy implementation with dated public sources.

Utilisation de « data-element-market-expert ». Evaluate whether a data asset service model is proven.

Résultat attendu:

Repeat demand: insufficient evidence until renewal or repeat purchase data is available.
Economics: calculate gross margin after delivery labor, compliance, technology, and partner costs.
Replicability: test delivery effort and conversion across customers or industries.

Utilisation de « data-element-market-expert ». Create a market sizing approach for a regional data compliance service.

Résultat attendu:

Top-down: narrow total enterprise spending by region, regulated sectors, and addressable service scope.
Bottom-up: multiply qualified customers by annual contract value and realistic penetration.
Cross-check definitions, remove overlapping revenue, and show sensitivity for adoption and pricing.

Audit de sécurité

Sûr

v1 • 27/09/2026 Ouvrir le rapport versionné

All static findings are false positives caused by documentation syntax, installation examples, public links, Chinese text, or line-ending encoding. No executable behavior, obfuscation, or prompt injection was found.

Fichiers analysés

443

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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Carte intégrable

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Citations académiques (APA · BibTeX · CFF)

Citation APA

图灵数盟. (2026). data-element-market-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-data-element-market-expert/audits/1

Citation BibTeX

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

Rank service, industry, circulation, and financialization opportunities against capabilities, timing, evidence, and execution barriers.

Validate a Business Model

Test a proposed data service using repeat demand, positive gross margin, replicability, and documented evidence gaps.

Build a Market Brief

Convert policies, public transactions, company disclosures, and cases into a sourced maturity and competitive landscape briefing.

Essayez ces prompts

Map the Market

Explain the data element market layers and identify one opportunity in each layer for [industry]. State assumptions and evidence needs.

Test a Business Model

Assess [business model] using repeat customers, positive gross margin, and replicability. State evidence gaps and propose a validation plan.

Compare Competitors

Compare [competitors] by positioning, customers, pricing, strengths, and risks. Separate verified facts from assumptions and date every source.

Size a Strategic Opportunity

Estimate TAM, SAM, and SOM for [segment] using two methods. Reconcile differences, document assumptions, and provide sensitivity ranges.

Bonnes pratiques

Date every source and distinguish primary evidence, secondary research, and assumptions.
Cross-check market size with top-down and bottom-up methods using consistent definitions.
Separate policy intent from observed transactions, repeat demand, positive margins, and replicable delivery.

Éviter

Do not treat policy support, listings, or pilot announcements as proof of commercial demand.
Do not present precise market numbers without scope, date, method, assumptions, and uncertainty.
Do not generalize from successful cases while ignoring failures, selection bias, or implementation barriers.

Foire aux questions

Which markets does this skill cover?

It focuses on China's data element market, including resources, products, circulation, services, applications, infrastructure, and emerging financialization.

Can it provide current market data?

It can structure current evidence you provide, but it has no live feed. Verify recent facts with dated public sources.

How does it assess market maturity?

It reviews policy, transactions, financing, technology, adoption, repeat demand, profitability, and replicability against a four-stage framework.

How does it estimate market size?

It combines top-down segmentation with bottom-up customer and contract estimates, then reconciles definitions, overlaps, assumptions, and sensitivity.

Can it compare competitors?

Yes. It compares positioning, offerings, customers, cases, pricing models, strengths, weaknesses, and evidence quality.

Does it replace professional advice?

No. Legal, regulatory, accounting, financing, and investment decisions require qualified professionals and current authoritative sources.