data-value-monetization-team
78Create 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.
Audit Personal Information Protection Compliance
Organizations need structured reviews of personal information processing under Chinese privacy requirements. This skill creates practical inventories, assessments, controls, and remediation plans.
이 요청을 에이전트에 복사하세요. 공식 Skill 페이지와 매니페스트가 포함되어 있습니다.
Review the Skillstore skill "personal-information-protection-expert" from https://skillstore.io/skills/dhturing-personal-information-protection-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-personal-information-protection-expert/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.
"personal-information-protection-expert" 사용 중입니다. Review a mobile application that collects phone numbers, precise location, and facial images.
예상 결과:
"personal-information-protection-expert" 사용 중입니다. Create an audit plan for a retailer processing information about 1.2 million customers.
예상 결과:
"personal-information-protection-expert" 사용 중입니다. Recommend a protection approach for sharing customer analytics with a research partner.
예상 결과:
All 12 static findings are false positives caused by Markdown syntax, documented installation paths, public website links, or entropy heuristics on Chinese text. The reviewed files contain no executable behavior, network requests, obfuscated payloads, or prompt injection attempts.
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-personal-information-protection-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/dhturing-personal-information-protection-expert?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/dhturing-personal-information-protection-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-personal-information-protection-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/dhturing-personal-information-protection-expert.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). personal-information-protection-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-personal-information-protection-expert/audits/1@techreport{dhturing-personal-information-protection-expert-2026,
author = {图灵数盟},
title = {personal-information-protection-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-personal-information-protection-expert/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: "personal-information-protection-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-personal-information-protection-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-personal-information-protection-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Assess planned data collection, lawful bases, notices, consent flows, sensitive information, and required impact assessments before launch.
Build an evidence request, control checklist, findings register, and remediation plan for a personal information compliance audit.
Compare de-identification and anonymization options, document residual risks, and define validation steps for an analytics dataset.
Classify these data fields as general personal information, sensitive personal information, or non-personal data. Explain each classification and list missing context: [fields].
Review this privacy notice and consent flow: [materials]. Identify missing notices, invalid consent patterns, separate-consent triggers, withdrawal gaps, and prioritized corrections.
Create a personal information protection impact assessment for [processing activity]. Cover necessity, proportionality, rights impacts, security controls, residual risk, and approval evidence.
Design an evidence-based audit for [organization and scope]. Map processing activities, test controls, rank findings, assign owners, and create a phased remediation roadmap.
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
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.
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.
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작성자 davila7
Los equipos necesitan revisiones estructuradas de cumplimiento de privacidad en relación con las obligaciones del GDPR y la DSGVO alemana. Esta skill guía evaluaciones, planificación de DPIA, flujos de trabajo de derechos, preparación de auditorías y controles de gobernanza.
Revisar flujos de trabajo de cumplimiento del RGPD
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Las revisiones del RGPD son complejas cuando los flujos de trabajo del producto incluyen consentimiento, eliminación, exportaciones y registros de auditoría. Esta habilidad proporciona comprobaciones estructuradas para funciones de privacidad y revisiones de implementación.
Implementar el manejo de datos conforme al RGPD
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Los equipos deben manejar los datos personales de la UE con controles claros y procesos auditables. Esta skill ofrece patrones prácticos para consentimiento, derechos de datos, retención, diseño de privacidad y respuesta ante brechas.
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작성자 alirezarezvani
Los equipos de HealthTech necesitan una gobernanza de calidad disciplinada en estándares, auditorías, revisiones e informes ejecutivos. Esta skill guía las responsabilidades del QMR, la supervisión del cumplimiento, el monitoreo de KPI y la planificación estratégica de calidad.
Evaluar el cumplimiento del MDR de la UE
작성자 davila7
Los equipos de dispositivos médicos necesitan orientación clara sobre el MDR 2017/745 en trabajos de clasificación, evidencia y vigilancia. Esta skill estructura revisiones de cumplimiento y planificación de documentación.