本文へ移動
cccskills
無料GitHub で公開

cross-jurisdiction-class

Harmonises data classification across jurisdictions mapping GDPR special categories vs CCPA sensitive PI (1798.140(ae)) vs HIPAA PHI (160.103) vs LGPD sensitive data (Art. 5-II). Provides cross-regulation mapping matrix for multinational compliance. Keywords: cross-jurisdiction, GDPR, CCPA, HIPAA, LGPD, sensitive data, multinational, classification mapping.

インストール方法を見る

含まれるファイル(5)

  • SKILL.md10.0 KB
  • assets/template.md1.5 KB
  • references/standards.md4.0 KB
  • references/workflows.md2.9 KB
  • scripts/process.py9.8 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Cross-Jurisdiction Data Classification Harmonisation

Overview

Multinational organisations must classify data under multiple regulatory frameworks simultaneously. GDPR special categories (Art. 9), CCPA sensitive personal information (Cal. Civ. Code §1798.140(ae)), HIPAA protected health information (45 CFR §160.103), and LGPD sensitive personal data (Art. 5-II) each define sensitive data differently with distinct requirements. This skill provides a cross-regulation mapping matrix enabling unified classification that satisfies all applicable jurisdictions, supporting Vanguard Financial Services' operations across the UK/EU, United States, and Brazil.

Jurisdictional Definitions Compared

GDPR Art. 9 — Special Categories (EU/UK)

CategoryDefinition Summary
Racial or ethnic originData revealing racial or ethnic background
Political opinionsPolitical views, party membership, voting
Religious or philosophical beliefsFaith, atheism, philosophical convictions
Trade union membershipUnion membership status or activities
Genetic dataInherited/acquired genetic characteristics (Art. 4(13))
Biometric dataPhysical/behavioural characteristics for unique identification (Art. 4(14))
Health dataPhysical/mental health, healthcare provision (Recital 35)
Sex life or sexual orientationSexual behaviour, preferences, orientation

Processing standard: General prohibition with ten exceptions (Art. 9(2)(a)-(j))

CCPA/CPRA — Sensitive Personal Information (California)

Cal. Civ. Code §1798.140(ae) defines sensitive personal information as:

CategoryDefinition Summary
Social Security, driver's licence, state ID, passportGovernment-issued identifiers
Account log-in with password/security credentialsFinancial account access data
Debit/credit card combined with security codePayment card data with authentication
Precise geolocationLocation within 1,850 feet (GPS-level)
Racial or ethnic originSame scope as GDPR
Religious or philosophical beliefsSame scope as GDPR
Union membershipSame scope as GDPR
Personal communications (mail, email, text)Content of non-public communications
Genetic dataDNA, genetic test results
Biometric dataPhysiological, biological, behavioural characteristics for identification
Health informationPhysical/mental health condition, diagnosis, treatment
Sex life or sexual orientationSexual activity, preferences

Consumer right: Right to limit use and disclosure of sensitive PI (§1798.121)

HIPAA — Protected Health Information (United States)

45 CFR §160.103 defines PHI as individually identifiable health information held or transmitted by a covered entity or business associate, in any form, that relates to:

ElementDescription
Physical or mental health conditionPast, present, or future
Provision of health careTreatment, services, payments
Payment for health careClaims, billing, insurance
IdentifiabilityInformation that identifies or could identify the individual

18 HIPAA Identifiers (45 CFR §164.514(b)): Names, geographic data (smaller than state), dates (except year), phone, fax, email, SSN, medical record number, health plan beneficiary number, account number, certificate/licence number, vehicle identifiers, device identifiers, web URLs, IP addresses, biometric identifiers, full-face photographs, any unique identifying number

Standard: Minimum necessary standard; use and disclosure limited to minimum necessary for purpose

LGPD Art. 5-II — Sensitive Personal Data (Brazil)

CategoryDefinition Summary
Racial or ethnic originSame scope as GDPR
Religious beliefReligious conviction or practice
Political opinionPolitical views or affiliations
Trade union membershipUnion affiliation
Religious, philosophical, or political organisationBroader than GDPR — includes organisational membership
Health dataPhysical/mental health
Sex lifeSexual activity
Genetic dataGenetic information
Biometric dataBiometric characteristics for identification

Processing standard: Consent must be specific and highlighted; other bases available under Art. 11(II)

Cross-Regulation Mapping Matrix

Data CategoryGDPR Art. 9CCPA §1798.140(ae)HIPAA PHILGPD Art. 5-IIUnified Tier
Racial/ethnic originSpecial categorySensitive PIN/A (unless health-related)SensitiveRESTRICTED
Political opinionsSpecial categoryN/AN/ASensitiveRESTRICTED
Religious beliefsSpecial categorySensitive PIN/ASensitiveRESTRICTED
Trade union membershipSpecial categorySensitive PIN/ASensitiveRESTRICTED
Genetic dataSpecial categorySensitive PIPHI (if health-related)SensitiveRESTRICTED
Biometric data (for identification)Special categorySensitive PIPHI (identifier)SensitiveRESTRICTED
Health dataSpecial categorySensitive PIPHISensitiveRESTRICTED
Sex life/orientationSpecial categorySensitive PIN/A (unless health-related)SensitiveRESTRICTED
Social Security NumberPersonal (direct identifier)Sensitive PIPHI (identifier)Personal (direct)RESTRICTED
Precise geolocationPersonal (may be special if reveals religion/health)Sensitive PIPHI (if health-related)PersonalCONFIDENTIAL+
Financial account with credentialsPersonal (financial)Sensitive PIN/APersonalRESTRICTED
Personal communications contentPersonalSensitive PIN/APersonalCONFIDENTIAL
Medical record numberPersonal (indirect)N/A (separate HIPAA regime)PHI (identifier)PersonalRESTRICTED (in healthcare context)
Health insurance IDPersonal (indirect)N/APHI (identifier)PersonalRESTRICTED (in healthcare context)

Harmonised Classification Approach

Principle: Apply the Highest Standard

When data falls under multiple jurisdictions, apply the most protective classification:

For each data element:
  1. Classify under GDPR (personal / special category / criminal)
  2. Classify under CCPA (personal information / sensitive PI)
  3. Classify under HIPAA (PHI / non-PHI) — if applicable
  4. Classify under LGPD (personal / sensitive) — if applicable
  5. Assign the unified tier = MAX(all jurisdictional classifications)

Unified Tier Assignment Rules

Jurisdictional ClassificationUnified Tier
Any regulation classifies as most-sensitiveRESTRICTED
GDPR special category OR CCPA sensitive PI OR LGPD sensitiveRESTRICTED
HIPAA PHI (any)RESTRICTED
GDPR personal data AND CCPA personal information (not sensitive)CONFIDENTIAL
Non-personal under all applicable regulationsPUBLIC or INTERNAL

Implementation for Vanguard Financial Services

Jurisdictional Scope

JurisdictionApplicable LawVanguard Operations
EU/EEAGDPREU customer base, Frankfurt data centre
United KingdomUK GDPR + DPA 2018London headquarters, UK customer base
California, USACCPA/CPRAUS operations, California residents' data
Other US StatesVarious (VCDPA, CPA, CTDPA, etc.)US operations
BrazilLGPDBrazilian customer base

Cross-Jurisdiction Handling Requirements

For data that falls under multiple jurisdictions:

ScenarioJurisdictionsHandling
UK customer health dataUK GDPR + potentially HIPAA if shared with US health insurerRESTRICTED; Art. 9(2) condition + HIPAA BAA if shared with US covered entity
California employee biometric data (fingerprint)CCPA + Illinois BIPA + GDPR (if EU data subject)RESTRICTED; CCPA consent + BIPA written consent + GDPR Art. 9(2)(a)
Brazilian customer financial dataLGPD + GDPR (if transferred from EU)CONFIDENTIAL; LGPD lawful basis + GDPR Chapter V transfer safeguards
Cross-border employee HR dataUK GDPR + CCPA + LGPDCONFIDENTIAL (RESTRICTED if contains health/diversity data); satisfy all three frameworks simultaneously

Regulatory Precedents

  • Meta Platforms Ireland (EDPB Binding Decision 01/2023): EUR 1.2 billion fine for EU-US data transfers — underscores the importance of jurisdictional mapping when data crosses borders
  • Sephora (CCPA Enforcement, 2022): USD 1.2 million settlement with California AG for failure to honour opt-out of sale of personal information — demonstrated CCPA-specific classification obligations
  • ANPD Brazil (2023): First LGPD administrative sanctions for inadequate security measures on sensitive personal data — confirmed LGPD enforcement trajectory

Integration Points

  • personal-data-test: GDPR personal data test is the foundation; cross-jurisdiction classification layers additional requirements
  • special-category-data: GDPR special categories map to sensitive data across other jurisdictions
  • classification-policy: Unified tier from cross-jurisdiction mapping feeds the enterprise classification policy
  • data-inventory-mapping: Data inventory must record applicable jurisdictions per data element

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Implements 42 CFR Part 2 protections for substance use disorder patient records. Covers written consent requirements stricter than HIPAA, re-disclosure prohibition, court order procedures, qualified service organization agreements, and 2024 amendments aligning Part 2 with HIPAA. Keywords: 42 CFR Part 2, substance use disorder, SUD records, re-disclosure, consent, Part 2 amendments.

日本語の概要は準備中です。原文の説明を表示しています。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

Guides assessment of third-country adequacy decisions under GDPR Article 45 for international data transfers. Covers the current EC adequacy decisions list, adequacy assessment criteria, partial adequacy handling, and monitoring of adequacy decision reviews. Keywords: adequacy decision, Article 45, third country, adequate protection, EC adequacy list.

日本語の概要は準備中です。原文の説明を表示しています。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

Implements age-gating mechanisms for online services to restrict access based on user age. Covers hard gates versus soft gates, neutral age prompts, re-verification triggers, circumvention prevention, and regulatory requirements under GDPR, COPPA, UK Online Safety Act, and DSA. Keywords: age gate, age restriction, neutral prompt, children, online services, access control.

日本語の概要は準備中です。原文の説明を表示しています。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

Evaluates and implements age estimation and verification technologies for online services. Covers facial age estimation, digital ID verification, self-declaration with risk assessment, AI-based age estimation, and the accuracy versus privacy tradeoff. Includes ICO guidance and euCONSENT framework. Keywords: age verification, age estimation, facial analysis, digital ID, children, online safety.

日本語の概要は準備中です。原文の説明を表示しています。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

Preparing EU AI Act compliance documentation for high-risk AI systems. Covers Annex III classification, technical documentation under Art. 11, conformity assessment, risk management systems, and CE marking requirements. Keywords: EU AI Act, high-risk AI, Annex III, conformity assessment, CE marking.

日本語の概要は準備中です。原文の説明を表示しています。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

Implements GDPR Art. 22 automated decision-making and AI Act Art. 14 human oversight requirements for AI systems. Covers identification of solely automated decisions, meaningful human intervention design, logic explanation mechanisms, and contestation procedures. Keywords: Art. 22, automated decision, human oversight, AI Act, profiling, contestation.

日本語の概要は準備中です。原文の説明を表示しています。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

mukul975 のスキルをすべて見る

このスキルの問題を報告する