Навыки personal-information-protection-expert

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personal-information-protection-expert

Name: personal-information-protection-expert
Author: 图灵数盟

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

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.

Поддерживает: Claude Codex Code(CC)

🥉 77 Бронза

Maintain this Skill? Claim it 🥉 77 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 "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.

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-personal-information-protection-expert.md Подписанный manifest GET /api/skills/dhturing-personal-information-protection-expert/manifest Подписанный lockfile GET /api/skills/dhturing-personal-information-protection-expert/lockfile

Протестировать

Использование «personal-information-protection-expert». Review a mobile application that collects phone numbers, precise location, and facial images.

Ожидаемый результат:

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.

Использование «personal-information-protection-expert». Create an audit plan for a retailer processing information about 1.2 million customers.

Ожидаемый результат:

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.

Использование «personal-information-protection-expert». Recommend a protection approach for sharing customer analytics with a research partner.

Ожидаемый результат:

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.

Аудит безопасности

Безопасно

v1 • 27.09.2026 Открыть версионный отчет

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.

Просканировано файлов

471

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:33

🌐 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:: codex

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-personal-information-protection-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Значок Markdown

[![Skillstore security assessment](https://skillstore.io/badges/skills/dhturing-personal-information-protection-expert/security.svg)](https://skillstore.io/skills/dhturing-personal-information-protection-expert?utm_source=security_passport_badge)

Значок 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>

Встраиваемая карточка

<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>

Академические ссылки (APA · BibTeX · CFF)

Цитата 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/1

Цитата 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"

Оценка Skillstore

Почему такая оценка Достоверность доказательств: Средний

Архитектура

Сопровождаемость

Контент

Сообщество

Соответствие спецификации

Что вы можете построить

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.

Попробуйте эти промпты

Classify Personal Information

Classify these data fields as general personal information, sensitive personal information, or non-personal data. Explain each classification and list missing context: [fields].

Review Notice and Consent

Review this privacy notice and consent flow: [materials]. Identify missing notices, invalid consent patterns, separate-consent triggers, withdrawal gaps, and prioritized corrections.

Build an Impact Assessment

Create a personal information protection impact assessment for [processing activity]. Cover necessity, proportionality, rights impacts, security controls, residual risk, and approval evidence.

Plan a Full Compliance Audit

Design an evidence-based audit for [organization and scope]. Map processing activities, test controls, rank findings, assign owners, and create a phased remediation roadmap.

Лучшие практики

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.

Избегать

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.

Часто задаваемые вопросы

Does this skill provide legal advice?

No. It structures compliance analysis and deliverables, but qualified counsel should confirm legal conclusions for the specific facts.

Can it review a privacy policy?

Yes. Provide the policy, relevant interfaces, processing purposes, data categories, recipients, retention terms, and consent flow.

Can it determine whether separate consent is required?

It can identify likely triggers from the provided facts. Current law, sector rules, and implementation details still require verification.

Can it perform a personal information protection impact assessment?

It can structure the assessment, risks, controls, evidence, approvals, and remediation. The organization must validate facts and control effectiveness.

Can it confirm that data is anonymous?

No. It can propose methods and tests, but confirmation requires representative data, technical evaluation, and documented re-identification analysis.

What information should I provide for an audit?

Provide scope, processing inventories, policies, notices, consent records, contracts, impact assessments, rights requests, incidents, and security evidence.