스킬 personal-information-protection-expert

📦

personal-information-protection-expert

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

콘텐츠 리비전 r1 안전 📁 파일 시스템 접근⚙️ 외부 명령어🌐 네트워크 접근

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.

지원: Claude Codex Code(CC)

🥉 77 브론즈

Maintain this Skill? Claim it 🥉 77 브론즈

내 에이전트로 설치

이 요청을 에이전트에 복사하세요. 공식 Skill 페이지와 매니페스트가 포함되어 있습니다.

에이전트 요청

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.

에이전트가 읽기 쉬운 리소스

AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.

Markdown 상세 GET /skills/dhturing-personal-information-protection-expert.md 서명된 manifest GET /api/skills/dhturing-personal-information-protection-expert/manifest 서명된 lockfile GET /api/skills/dhturing-personal-information-protection-expert/lockfile

테스트해 보기

"personal-information-protection-expert" 사용 중입니다. Review a mobile application that collects phone numbers, precise location, and facial images.

예상 결과:

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" 사용 중입니다. Create an audit plan for a retailer processing information about 1.2 million customers.

예상 결과:

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" 사용 중입니다. Recommend a protection approach for sharing customer analytics with a research partner.

예상 결과:

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.

보안 감사

안전

v1 • 2026. 9. 27. 버전별 보고서 열기

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.

스캔된 파일

471

분석된 줄 수

검토 항목

오탐 무시됨

위험 요인

📁 파일 시스템 접근 (2)

profile.md:38 profile.md:38

⚙️ 외부 명령어 (3)

SKILL.md:20 SKILL.md:26 SKILL.md:33

🌐 네트워크 접근 (2)

SKILL.md:6 SKILL.md:12

가장 최근에 완료된 정적·의미론적 감사에서 확인된 보안 발견 사항이 감지되지 않았습니다. 이는 스킬에 부작용이 없음을 증명하지 않습니다.

감사자: codex

이 보고서 공유 및 인용

버전이 지정된 평가 보고서, 중립 배지, 임베드 카드 및 인용을 공유하세요. Skillstore는 근거를 보고하지만 이 Skill의 안전 여부를 판단하지 않습니다.

버전별 보고서 열기

보고서 링크 복사

https://skillstore.io/skills/dhturing-personal-information-protection-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 배지

[![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)

HTML 배지

<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>

임베드 카드

<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>

학술 인용 (APA · BibTeX · CFF)

APA 인용

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

BibTeX 인용

@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 점수

이 점수의 이유 증거 신뢰도: 중간

아키텍처

유지보수성

콘텐츠

커뮤니티

사양 준수

만들 수 있는 것

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.

이 프롬프트를 사용해 보세요

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.

모범 사례

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.

피하기

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.

자주 묻는 질문

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.