Навыки data-value-monetization-team

📦

data-value-monetization-team

Name: data-value-monetization-team
Author: 图灵数盟

Ревизия содержимого r1 Безопасно 📁 Доступ к файловой системе⚙️ Внешние команды🌐 Доступ к сети

Create a Data Monetization Plan

Data teams often struggle to connect data assets to validated revenue opportunities. This skill provides a structured, auditable path from value discovery to monetization operations.

Поддерживает: Claude Codex Code(CC)

🥉 78 Бронза

Maintain this Skill? Claim it 🥉 78 Бронза

Установить с помощью моего Агента

Скопируйте этот запрос в своего Агента. Он содержит каноническую страницу Skill и манифест.

Запрос агента

Review the Skillstore skill "data-value-monetization-team" from https://skillstore.io/skills/dhturing-data-value-monetization-team.md and its manifest at https://skillstore.io/api/skills/dhturing-data-value-monetization-team/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Ваш Агент по-прежнему должен показать план и запросить все подтверждения, требуемые политикой безопасности.

Ресурсы для AI-агентов

Используйте эти ссылки, когда AI-агенту, crawler или script нужен чистый контекст вместо полной страницы.

Markdown-детали GET /skills/dhturing-data-value-monetization-team.md Подписанный manifest GET /api/skills/dhturing-data-value-monetization-team/manifest Подписанный lockfile GET /api/skills/dhturing-data-value-monetization-team/lockfile

Протестировать

Использование «data-value-monetization-team». Assess customer service interaction data for monetization.

Ожидаемый результат:

Value hypothesis: operational benchmarks and service-quality insights.
Priority pilot: anonymized benchmark report for a defined industry segment.
Evidence needed: data rights, consent scope, buyer interviews, and quality measurements.

Использование «data-value-monetization-team». Create a plan for a data subscription product.

Ожидаемый результат:

Recommended model: annual subscription with a limited pilot tier.
First milestone: validate three buyers, a pricing range, and a repeatable update process.
Operating metrics: active subscribers, renewal rate, recurring revenue share, and data freshness.

Аудит безопасности

Безопасно

v1 • 27.09.2026 Открыть версионный отчет

All 12 static findings are false positives. The apparent command-execution findings are Markdown file references, the filesystem path is installation documentation, and the URLs are author links. The high-entropy alerts arise from readable multilingual Markdown; no prompt injection, data exfiltration, or executable payload was found.

Просканировано файлов

274

Проанализировано строк

Пункты проверки

Ложные срабатывания проигнорированы

Факторы риска

📁 Доступ к файловой системе (2)

profile.md:38 profile.md:38

⚙️ Внешние команды (3)

SKILL.md:20 SKILL.md:26 SKILL.md:31

🌐 Доступ к сети (2)

SKILL.md:6 SKILL.md:12

Последний завершенный статический и семантический аудит не обнаружил подтвержденных проблем безопасности. Это не доказывает отсутствие побочных эффектов у навыка.

Аудитор:: claude

Поделиться и цитировать этот отчет

Делитесь версионным отчетом об оценке, нейтральным значком, встраиваемой карточкой и цитатами. Skillstore публикует доказательства, не решая, безопасен ли этот Skill.

Открыть версионный отчет

Копировать ссылку на отчёт

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

Значок Markdown

[![Skillstore security assessment](https://skillstore.io/badges/skills/dhturing-data-value-monetization-team/security.svg)](https://skillstore.io/skills/dhturing-data-value-monetization-team?utm_source=security_passport_badge)

Значок HTML

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

Встраиваемая карточка

<iframe src="https://skillstore.io/embed/skills/dhturing-data-value-monetization-team.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

Академические ссылки (APA · BibTeX · CFF)

Цитата APA

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

Цитата BibTeX

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

Оценка Skillstore

Почему такая оценка Достоверность доказательств: Средний

Архитектура

Сопровождаемость

Контент

Сообщество

Соответствие спецификации

Что вы можете построить

Assess an internal data portfolio

Inventory enterprise data assets and identify the most promising value and use-case opportunities.

Design a recurring revenue model

Compare service, subscription, transaction, and revenue-sharing models for a data product.

Build an operating roadmap

Create a phased plan for launch, measurement, renewal, and ongoing data asset operations.

Попробуйте эти промпты

Identify data value

List the data assets we have: [assets]. Identify likely value types, missing evidence, and the first three discovery questions.

Prioritize use cases

For this data asset: [description], propose up to five use cases. Rank them by buyer need, feasibility, compliance readiness, and expected validation effort.

Compare monetization options

Compare direct sale, data service, subscription, transaction commission, and revenue sharing for [data product]. State assumptions, risks, metrics, and a recommended pilot.

Produce a monetization roadmap

Create a 90-day monetization roadmap for [organization and data assets]. Include ownership, milestones, evidence gates, buyer validation, compliance review, pricing tests, and operating metrics.

Лучшие практики

Document data ownership, consent, contract limits, and permitted uses before designing a monetization offer.
Validate buyer demand with named users, budget evidence, and a testable deliverable before scaling.
State assumptions, evidence gaps, pricing logic, and professional-review needs in every recommendation.

Избегать

Do not treat estimated asset value as guaranteed revenue or a guaranteed financing outcome.
Do not commercialize data before confirming rights, privacy obligations, and contractual restrictions.
Do not select a business model without testing buyer demand, delivery capacity, and ongoing data quality.