Compétences data-monetization-expert

📦

data-monetization-expert

Name: data-monetization-expert
Author: 图灵数盟

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

Choose Your Fastest Data Monetization Path

Many organizations hold valuable data but struggle to turn it into real revenue. This skill applies a seven-path model, DMS scoring, and three-database framework to pick the shortest route from data to cash.

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

Tester

Utilisation de « data-monetization-expert ». We hold anonymized regional consumer spending data. Score it and tell us the fastest path to revenue.

Résultat attendu:

The skill returns a DMS score across the five dimensions, a disposition such as act-now, and a ranked shortlist of monetization paths with the recommended primary path and the reasoning for choosing it first.

Utilisation de « data-monetization-expert ». Help us design a recurring revenue mix instead of one-off projects.

Résultat attendu:

The skill outlines a revenue structure that moves recurring income above fifty percent, names the income models to combine, and describes a quarterly review cadence to keep the mix on target.

Audit de sécurité

Sûr

v1 • 27/09/2026 Ouvrir le rapport versionné

This is a documentation-only Agent Skill written in Chinese that provides a business framework for data monetization (seven-path model, DMS scoring, three databases). All 12 static findings were adjudicated as false positives: the flagged backtick patterns are Markdown inline-code spans referencing documentation files, the hidden-file findings are install-path examples inside a fenced code block, the hardcoded URLs point to the author's own company website, and the high-entropy heuristics fire on ordinary CJK prose. No executable code, network calls, credential access, or prompt-injection content was found in any file.

Fichiers analysés

458

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

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Ouvrir le rapport versionné

Copier le lien du rapport

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

Badge HTML

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

Carte intégrable

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

Citation BibTeX

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

Rank monetization paths for a data asset

Score a dataset with the DMS model and compare the seven paths to decide which route reaches revenue fastest.

Build a demand database from scratch

Define the fields to collect and the acquisition channels needed to identify who will buy the data.

Shift revenue toward recurring income

Redesign a project-based revenue mix into a structure where recurring revenue exceeds half of total income.

Essayez ces prompts

Quick monetization potential check

We have a dataset about [describe the data]. Use the DMS model to score its monetization potential and tell me whether to act now, nurture, or defer.

Compare the seven paths

For our [describe] data assets, compare the seven monetization paths and recommend one primary path and one supporting path, with the reasoning for each.

Design a full monetization scheme

Design a complete monetization scheme for selling [data product] to [target buyer], covering what to sell, pricing, delivery, and how revenue is recognized.

Rebalance the revenue structure

Our income is mostly project-based. Design a revenue structure that raises recurring revenue above fifty percent, and outline a quarterly review plan to track progress.

Bonnes pratiques

State your data's ownership clarity, quality, and compliance status up front so the DMS scoring is accurate.
Ask for a primary path plus supporting paths, then commit to the fastest route to first revenue before expanding.
Request reference revenue ranges with stated assumptions rather than a single fixed number.

Éviter

Do not treat the reference revenue ranges as guaranteed financial forecasts.
Do not skip the compliance and data-ownership gate before designing a monetization scheme.
Do not expect the skill to connect to live systems or replace licensed institutions and regulators.