技能 personal-information-protection-expert
📦
personal-information-protection-expert
内容修订 r1 安全 📁 文件系统访问⚙️ 外部命令🌐 网络访问
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.
支持: Claude Codex Code(CC)
使用我的智能体安装
将此请求复制给你的智能体，其中包含权威 Skill 页面和清单。
智能体请求
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.你的智能体仍应展示其计划，并按安全策略请求必要确认。
Agent 可读资源
当 AI Agent、爬虫或脚本需要干净上下文，而不是读取完整页面时，请使用这些链接。
测试它
正在使用“personal-information-protection-expert”。 Review a mobile application that collects phone numbers, precise location, and facial images.
预期结果:
- 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.
预期结果:
- 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.
预期结果:
- 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.
安全审计
安全v1 • 2026/9/27 打开版本化报告
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
已扫描文件
471
分析行数
0
复核项
0
已忽略误报
风险因素
📁 文件系统访问 (2)
⚙️ 外部命令 (3)
🌐 网络访问 (2)
最新一次完成的静态与语义审计未检测到已确认的安全发现。这并不能证明该 Skill 没有副作用。
审计者: codex
分享与引用此报告
分享版本化评估报告、中性徽章、嵌入卡片和引用。Skillstore 只报告证据，不判断该 Skill 是否安全。
复制报告链接
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>学术引用 (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 评分
评分依据 证据置信度: 中 55
架构
85
可维护性
87
内容
65
社区
83
规范符合性
你能构建什么
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.
试试这些提示
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.
最佳实践
- 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.
常见问题
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.
开发者详情
作者
图灵数盟许可证
MIT
Skillstore 修订
r1
版本提示
作者未声明版本。
引用
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
维护新鲜度
2026/9/30
使用量
0 次下载 · 0 次浏览
文件结构