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.
Installer avec mon Agent
Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.
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.Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.
Ressources lisibles par les agents
Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.
Tester
Utilisation de « personal-information-protection-expert ». Review a mobile application that collects phone numbers, precise location, and facial images.
Résultat attendu:
- 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.
Utilisation de « personal-information-protection-expert ». Create an audit plan for a retailer processing information about 1.2 million customers.
Résultat attendu:
- 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.
Utilisation de « personal-information-protection-expert ». Recommend a protection approach for sharing customer analytics with a research partner.
Résultat attendu:
- 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.
Audit de sécurité
SûrAll 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.
Facteurs de risque
📁 Accès au système de fichiers (2)
⚙️ Commandes externes (3)
🌐 Accès réseau (2)
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Partagez le rapport d’évaluation versionné, le badge neutre, la carte intégrable et les citations. Skillstore présente les preuves sans décider si ce Skill est sûr.
Copier le lien du rapport
https://skillstore.io/skills/dhturing-personal-information-protection-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportBadge Markdown
[](https://skillstore.io/skills/dhturing-personal-information-protection-expert?utm_source=security_passport_badge)Badge HTML
<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>Carte intégrable
<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>Citations académiques (APA · BibTeX · CFF)
Citation APA
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/1Citation BibTeX
@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"
Score Skillstore
Pourquoi ce score Niveau de confiance des preuves: MoyenCe que vous pouvez créer
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.
Essayez ces prompts
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.
Bonnes pratiques
- 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.
Éviter
- 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.
Foire aux questions
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?
Détails du développeur
Auteur
图灵数盟Licence
MIT
Révision Skillstore
r1
Avis de version
L’auteur n’a déclaré aucune version.
Réf
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
Récence de maintenance
30/09/2026
Utilisation
0 téléchargements · 0 vues
Structure de fichiers