Fähigkeiten data-monetization-expert

📦

data-monetization-expert

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

Inhaltsrevision r1 Sicher 📁 Dateisystemzugriff⚙️ Externe Befehle🌐 Netzwerkzugriff

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.

Unterstützt: Claude Codex Code(CC)

🥉 77 Bronze

Maintain this Skill? Claim it 🥉 77 Bronze

Mit meinem Agent installieren

Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.

Agent-Anfrage

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.

Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.

Agent-lesbare Ressourcen

Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.

Markdown-Detailseite GET /skills/dhturing-data-monetization-expert.md Signiertes manifest GET /api/skills/dhturing-data-monetization-expert/manifest Signiertes lockfile GET /api/skills/dhturing-data-monetization-expert/lockfile

Testen

„data-monetization-expert“ wird verwendet. We hold anonymized regional consumer spending data. Score it and tell us the fastest path to revenue.

Erwartetes Ergebnis:

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.

„data-monetization-expert“ wird verwendet. Help us design a recurring revenue mix instead of one-off projects.

Erwartetes Ergebnis:

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.

Sicherheitsaudit

Sicher

v1 • 27.9.2026 Versionsbericht öffnen

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.

Gescannte Dateien

458

Analysierte Zeilen

Prüfelemente

Falschmeldungen ignoriert

Risikofaktoren

📁 Dateisystemzugriff (2)

profile.md:38 profile.md:38

⚙️ Externe Befehle (3)

SKILL.md:20 SKILL.md:26 SKILL.md:33

🌐 Netzwerkzugriff (2)

SKILL.md:6 SKILL.md:12

Das letzte abgeschlossene statische und semantische Audit erkannte keine bestätigten Sicherheitsbefunde. Dies beweist nicht, dass der Skill keine Nebenwirkungen hat.

Geprüft von: claude

Diesen Bericht teilen & zitieren

Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.

Versionsbericht öffnen

Berichtslink kopieren

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

Markdown-Badge

[![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)

HTML-Badge

<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>

Einbettungskarte

<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>

Wissenschaftliche Zitate (APA · BibTeX · CFF)

APA-Zitat

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

BibTeX-Zitat

@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"

Skillstore-Score

Warum dieser Score Evidenzvertrauen: Mittel

Architektur

Wartbarkeit

Inhalt

Gemeinschaft

Spezifikationskonformität

Was Sie erstellen können

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.

Diese Prompts ausprobieren

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.

Bewährte Praktiken

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.

Vermeiden

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.