技能 personal-information-protection-expert
📦
personal-information-protection-expert
內容修訂 r1 安全 📁 檔案系統存取⚙️ 外部命令🌐 網路存取
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.
支援: Claude Codex Code(CC)
使用我的智慧代理安裝
將此請求複製給你的智慧代理，其中包含權威 Skill 頁面和清單。
智能體請求
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.你的智慧代理仍應顯示其計畫，並依安全政策請求必要確認。
Agent 可讀資源
當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時，請使用這些連結。
測試它
正在使用「personal-information-protection-expert」。 Review a mobile application that collects phone numbers, precise location, and facial images.
預期結果:
- 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.
正在使用「personal-information-protection-expert」。 Create an audit plan for a retailer processing information about 1.2 million customers.
預期結果:
- 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.
正在使用「personal-information-protection-expert」。 Recommend a protection approach for sharing customer analytics with a research partner.
預期結果:
- 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.
安全審計
安全v1 • 2026/9/27 開啟版本化報告
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.
4
已掃描檔案
471
分析行數
0
複核項目
0
已忽略的誤報
風險因素
📁 檔案系統存取 (2)
⚙️ 外部命令 (3)
🌐 網路存取 (2)
最近一次完成的靜態與語意稽核未偵測到已確認的安全發現。這並不能證明該 Skill 沒有副作用。
審計單位: codex
分享與引用此報告
分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據，不判斷該 Skill 是否安全。
複製報告連結
https://skillstore.io/skills/dhturing-personal-information-protection-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/dhturing-personal-information-protection-expert?utm_source=security_passport_badge)HTML 徽章
<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>嵌入卡片
<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>學術引用 (APA · BibTeX · CFF)
APA 引用
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 引用
@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 評分
評分依據 證據置信度: 中 55
架構
85
可維護性
87
內容
65
社群
83
規範符合度
你可以打造什麼
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.
試試這些提示
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.
最佳實務
- 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.
避免
- 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.
常見問題
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.
開發者詳細資訊
作者
图灵数盟授權
MIT
Skillstore 修訂
r1
版本提示
作者未聲明版本。
引用
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
維護新鮮度
2026/9/30
使用量
0 次下載 · 0 次瀏覽
檔案結構