trusted-data-space-expert
78Design a Trusted Data Space
Trusted data space projects often fail through weak demand, governance, or participation. This skill provides structured assessment, architecture, rules, rollout, and operating guidance.
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.
이 요청을 에이전트에 복사하세요. 공식 Skill 페이지와 매니페스트가 포함되어 있습니다.
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.에이전트는 계속해서 계획을 표시하고 보안 정책에서 요구하는 확인을 요청해야 합니다.
AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.
"data-value-monetization-team" 사용 중입니다. Assess customer service interaction data for monetization.
예상 결과:
"data-value-monetization-team" 사용 중입니다. Create a plan for a data subscription product.
예상 결과:
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.
버전이 지정된 평가 보고서, 중립 배지, 임베드 카드 및 인용을 공유하세요. Skillstore는 근거를 보고하지만 이 Skill의 안전 여부를 판단하지 않습니다.
https://skillstore.io/skills/dhturing-data-value-monetization-team/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/dhturing-data-value-monetization-team?utm_source=security_passport_badge)<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><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>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@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}
}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"
Inventory enterprise data assets and identify the most promising value and use-case opportunities.
Compare service, subscription, transaction, and revenue-sharing models for a data product.
Create a phased plan for launch, measurement, renewal, and ongoing data asset operations.
List the data assets we have: [assets]. Identify likely value types, missing evidence, and the first three discovery questions.
For this data asset: [description], propose up to five use cases. Rank them by buyer need, feasibility, compliance readiness, and expected validation effort.
Compare direct sale, data service, subscription, transaction commission, and revenue sharing for [data product]. State assumptions, risks, metrics, and a recommended pilot.
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.
작성자
图灵数盟라이선스
MIT
Skillstore 리비전
r1
버전 안내
작성자가 버전을 선언하지 않았습니다.
참조
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
유지보수 최신성
2026. 9. 30.
사용량
0 다운로드 · 0 조회
파일 구조
Design a Trusted Data Space
Trusted data space projects often fail through weak demand, governance, or participation. This skill provides structured assessment, architecture, rules, rollout, and operating guidance.
Discover and Prioritize Data Use Scenarios
Organizations often overlook valuable uses for data they already hold. This skill scans industries, ranks opportunities, and defines evidence needed for validation.
Manage the Full Data Asset Lifecycle
Data asset programs often lack connected policies, ownership, workflows, and measurable controls. This skill designs a practical lifecycle system from planning through disposal and oversight.
Assess Energy Data Asset Opportunities
Energy data projects often lack clear compliance gates and measurable value. This skill structures classification, cash-flow evidence, accounting coordination, and commercialization options.
Assess Industry Data Assetization Paths
Regulated data projects often fail when generic assetization methods overlook industry rules. This skill structures compliance-first assessments for carbon, seed, energy, and public data.
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.
Planificar los ingresos del boletín y los precios de los patrocinios
작성자 aaron-he-zhu
Los propietarios de boletines suelen carecer de una conexión clara entre los datos de audiencia, los precios y los ingresos. Esta skill crea escenarios etiquetados de suscripciones, patrocinios y crecimiento.
Evaluate High-Stakes Pricing Changes
작성자 cmj-hub
Material pricing changes can affect revenue and customer retention without clear evidence or approval criteria. This workflow structures hypotheses, controlled tests, decision reviews, and post-rollout audits.
Visualize Personal Finances in a Local Report
작성자 jasonhmy
Financial records can obscure spending patterns when transfers, refunds, and shared purchases are mixed together. This skill reconciles authorized records and creates local interactive charts with transaction details and optional daily allowances.
Analizar archivos de datos científicos
작성자 davila7
Los archivos de datos científicos son difíciles de inspeccionar porque cada formato almacena la estructura y los metadatos de forma diferente. Esta habilidad detecta formatos, perfila la calidad de los datos y crea informes prácticos de EDA en Markdown.
Analiza RNA-seq de célula única con Scanpy
작성자 davila7
Los flujos de trabajo de RNA-seq de célula única requieren un control de calidad, normalización, clustering y documentación cuidadosos. Esta skill proporciona flujos de trabajo de Scanpy, scripts, plantillas y referencias para un análisis reproducible.
Procesar datos JSON, YAML y TOML
작성자 0xDarkMatter
Los datos de configuración estructurados pueden ser difíciles de inspeccionar en archivos JSON, YAML y TOML. Esta skill guía consultas de jq y yq para extracción, filtrado, conversión y actualizaciones.