personal-information-protection-expert
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.
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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.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.
Testen
„personal-information-protection-expert“ wird verwendet. Review a mobile application that collects phone numbers, precise location, and facial images.
Erwartetes Ergebnis:
- Data classification: phone number is personal information; precise location and facial images are sensitive personal information.
- Priority checks: necessity, separate consent, impact assessment, retention, access controls, and withdrawal methods.
- Next step: collect the privacy notice, interface screenshots, processing records, and consent logs before reaching a conclusion.
„personal-information-protection-expert“ wird verwendet. Create an audit plan for a retailer processing information about 1.2 million customers.
Erwartetes Ergebnis:
- Scope: customer applications, membership systems, marketing platforms, service providers, and cross-border transfers.
- Evidence: processing inventory, notices, consent logs, contracts, impact assessments, rights requests, incidents, and security records.
- Deliverables: control checklist, evidence register, finding ratings, corrective actions, owners, and due dates.
„personal-information-protection-expert“ wird verwendet. Recommend a protection approach for sharing customer analytics with a research partner.
Erwartetes Ergebnis:
- First determine whether the partner needs record-level data or only aggregate statistics.
- Compare suppression, generalization, pseudonymization, and formal anonymization against utility and re-identification risk.
- Require validation, contractual controls, access restrictions, retention limits, and documented residual-risk acceptance.
Sicherheitsaudit
SicherAll 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.
Risikofaktoren
📁 Dateisystemzugriff (2)
⚙️ Externe Befehle (3)
🌐 Netzwerkzugriff (2)
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.
Berichtslink kopieren
https://skillstore.io/skills/dhturing-personal-information-protection-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown-Badge
[](https://skillstore.io/skills/dhturing-personal-information-protection-expert?utm_source=security_passport_badge)HTML-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>Einbettungskarte
<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>Wissenschaftliche Zitate (APA · BibTeX · CFF)
APA-Zitat
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/1BibTeX-Zitat
@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}
}CITATION.cff
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"
Skillstore-Score
Warum dieser Score Evidenzvertrauen: MittelWas Sie erstellen können
Review a Product Launch
Assess planned data collection, lawful bases, notices, consent flows, sensitive information, and required impact assessments before launch.
Prepare a Compliance Audit
Build an evidence request, control checklist, findings register, and remediation plan for a personal information compliance audit.
Design Data Protection Controls
Compare de-identification and anonymization options, document residual risks, and define validation steps for an analytics dataset.
Diese Prompts ausprobieren
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.
Bewährte Praktiken
- Provide processing purposes, data fields, systems, recipients, retention periods, and evidence with each request.
- Verify legal thresholds and effective dates against current official sources before acting.
- Separate confirmed facts, assumptions, legal interpretation, technical testing, and recommended actions.
Vermeiden
- Do not submit real personal information when representative field names or synthetic samples are sufficient.
- Do not treat a revised privacy notice as proof that operational processing is compliant.
- Do not claim anonymization without testing re-identification risk and documenting the assessment.
Häufig gestellte Fragen
Does this skill provide legal advice?
Can it review a privacy policy?
Can it determine whether separate consent is required?
Can it perform a personal information protection impact assessment?
Can it confirm that data is anonymous?
What information should I provide for an audit?
Entwicklerdetails
Autor
图灵数盟Lizenz
MIT
Skillstore-Revision
r1
Versionshinweis
Der Autor hat keine Version angegeben.
Ref.
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
Aktualität der Wartung
30.9.2026
Nutzung
0 Downloads · 0 Aufrufe
Dateistruktur