Habilidades personal-information-protection-expert

📦

personal-information-protection-expert

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

Revisão do conteúdo r1 Seguro 📁 Acesso ao sistema de arquivos⚙️ Comandos externos🌐 Acesso à rede

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.

Suporta: Claude Codex Code(CC)

🥉 77 Bronze

Instalar com meu Agente

Copie esta solicitação para o seu Agente. Ela inclui a página canônica do Skill e o manifesto.

Solicitação do agente

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.

Seu Agente ainda deve apresentar o plano e solicitar qualquer confirmação exigida pela política de segurança.

Recursos legíveis por agentes

Use estes links quando um agente de IA, crawler ou script precisar de contexto limpo em vez de ler a página completa.

Detalhe em Markdown GET /skills/dhturing-personal-information-protection-expert.md manifest assinado GET /api/skills/dhturing-personal-information-protection-expert/manifest lockfile assinado GET /api/skills/dhturing-personal-information-protection-expert/lockfile

Testar

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

Resultado esperado:

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.

Usando "personal-information-protection-expert". Create an audit plan for a retailer processing information about 1.2 million customers.

Resultado esperado:

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.

Usando "personal-information-protection-expert". Recommend a protection approach for sharing customer analytics with a research partner.

Resultado esperado:

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.

Auditoria de segurança

Seguro

v1 • 27/09/2026 Abrir o relatório versionado

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.

Arquivos analisados

471

Linhas analisadas

Itens de revisão

Falsos positivos ignorados

Fatores de risco

📁 Acesso ao sistema de arquivos (2)

profile.md:38 profile.md:38

⚙️ Comandos externos (3)

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

🌐 Acesso à rede (2)

SKILL.md:6 SKILL.md:12

A auditoria estática e semântica concluída mais recente não detectou achados de segurança confirmados. Isso não comprova que a skill não tenha efeitos colaterais.

Auditado por: codex

Compartilhar e citar este relatório

Compartilhe o relatório de avaliação versionado, o badge neutro, o cartão incorporável e as citações. A Skillstore apresenta evidências sem decidir se este Skill é seguro.

Abrir o relatório versionado

Copiar link do relatório

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

Badge 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)

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>

Cartão incorporável

<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>

Citações acadêmicas (APA · BibTeX · CFF)

Citação 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

Citação 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"

Pontuação do Skillstore

Por que esta pontuação Confiança das evidências: Médio

Arquitetura

Manutenibilidade

Conteúdo

Comunidade

Conformidade com a especificação

O que você pode criar

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.

Teste estes prompts

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.

Boas práticas

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.

Evitar

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.

Perguntas frequentes

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.