本文へ移動
cccskills
無料GitHub で公開

gdpr-compliance-audit

Guides a comprehensive organisational data protection audit against key GDPR requirements including Articles 5, 24, 25, 28, 30, 32, 35, and 37. Includes 50+ control points covering principles, accountability, security, and governance. Activate when performing compliance audits, preparing for supervisory authority inspections, or assessing organisational GDPR maturity. Keywords: data protection audit, compliance audit, GDPR audit, control points, accountability.

インストール方法を見る

含まれるファイル(5)

  • SKILL.md12.0 KB
  • assets/template.md7.7 KB
  • references/standards.md4.8 KB
  • references/workflows.md5.5 KB
  • scripts/process.py8.3 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。

Conducting Data Protection Audit

Overview

A data protection audit systematically evaluates an organisation's compliance with GDPR requirements across governance, processing activities, data subject rights, security measures, and third-party arrangements. This skill provides a structured audit framework with 50+ control points mapped to specific GDPR articles, enabling auditors to produce a comprehensive compliance assessment with prioritised remediation recommendations.

Audit Framework Structure

The audit is organised into eight domains aligned to core GDPR chapters and articles:

  1. Data Protection Principles (Art. 5)
  2. Accountability and Governance (Art. 24, 5(2))
  3. Privacy by Design and Default (Art. 25)
  4. Processor Management (Art. 28)
  5. Records of Processing (Art. 30)
  6. Security of Processing (Art. 32)
  7. Data Protection Impact Assessments (Art. 35)
  8. Data Protection Officer (Art. 37-39)

Domain 1: Data Protection Principles (Art. 5)

#Control PointGDPR RefEvidence Required
1.1Processing purposes are specified, explicit, and documented for each activityArt. 5(1)(a)-(b)RoPA with specific purpose statements
1.2A valid lawful basis is identified and documented for each processing activityArt. 5(1)(a), 6Lawful basis register/assessment records
1.3Personal data collected is adequate, relevant, and limited to what is necessaryArt. 5(1)(c)Data minimisation reviews, field-level justification
1.4Personal data is accurate and kept up to date with rectification proceduresArt. 5(1)(d)Data quality processes, rectification logs
1.5Retention periods are defined for all data categories with deletion/anonymisation proceduresArt. 5(1)(e)Retention schedule, deletion logs
1.6Appropriate security measures protect personal data against unauthorised access, loss, or destructionArt. 5(1)(f)Security controls documentation, pen test reports
1.7The controller can demonstrate compliance with all principles (accountability)Art. 5(2)Compiled evidence portfolio

Domain 2: Accountability and Governance (Art. 24)

#Control PointGDPR RefEvidence Required
2.1A data protection policy is approved by senior management and communicated to all staffArt. 24(2)Signed policy, distribution records
2.2Data protection roles and responsibilities are formally assigned across the organisationArt. 24(1)RACI matrix, job descriptions
2.3Regular data protection training is provided to all staff processing personal dataArt. 39(1)(b)Training records, attendance logs, completion certificates
2.4A data protection governance structure exists with board-level reportingArt. 24, 38(3)Governance charter, board meeting minutes
2.5Documented procedures exist for all GDPR obligations (breach notification, DSAR, DPIA)Art. 24(1)Procedure documents with version control
2.6Internal audits of data protection compliance are conducted at defined intervalsArt. 24(1)Audit schedule, previous audit reports
2.7A data protection risk register is maintained and reviewedArt. 24(1)Risk register with risk scores and treatment plans

Domain 3: Privacy by Design and Default (Art. 25)

#Control PointGDPR RefEvidence Required
3.1Privacy requirements are integrated into the systems development lifecycleArt. 25(1)SDLC documentation with privacy checkpoints
3.2Privacy impact is assessed before deploying new systems or changing existing processingArt. 25(1)DPIA screening records, change management logs
3.3Default settings ensure only necessary personal data is processedArt. 25(2)Configuration reviews, default settings documentation
3.4Data minimisation is applied at the design stage of systems and processesArt. 25(1)Design documents showing minimisation decisions
3.5Pseudonymisation and encryption are considered in system designArt. 25(1), 32(1)(a)Architecture documents, encryption standards
3.6User interfaces facilitate data subject rights (access, deletion, portability)Art. 25(1)-(2)UI/UX specifications, data export functionality

Domain 4: Processor Management (Art. 28)

#Control PointGDPR RefEvidence Required
4.1All processors are identified and recorded in a vendor registerArt. 28(1)Vendor register with processor classifications
4.2Written data processing agreements are in place with all processors containing Art. 28(3) mandatory clausesArt. 28(3)DPA register, sample DPA review
4.3Processor due diligence is conducted before engagement and periodically thereafterArt. 28(1)Due diligence questionnaires, assessment reports
4.4Sub-processor authorisation and notification procedures are documentedArt. 28(2)-(4)Sub-processor clauses, notification records
4.5Processor compliance is monitored through audits, certifications, or self-assessmentsArt. 28(3)(h)Audit rights exercised, SOC 2/ISO 27001 certificates
4.6Processors return or delete personal data upon contract terminationArt. 28(3)(g)Data return/deletion confirmations
4.7Processor breach notification obligations are contractually defined and testedArt. 28(3)(f), 33DPA breach clauses, incident response test results

Domain 5: Records of Processing (Art. 30)

#Control PointGDPR RefEvidence Required
5.1A comprehensive RoPA is maintained for all controller processing activitiesArt. 30(1)Complete RoPA with all Art. 30(1)(a)-(g) fields
5.2Processor records are maintained for all processing on behalf of controllersArt. 30(2)Processor RoPA with Art. 30(2)(a)-(d) fields
5.3RoPA is kept up to date with a defined review and update processArt. 30(1)-(2)Last review dates, update procedure
5.4RoPA can be made available to the supervisory authority on requestArt. 30(4)Export capability, access procedure
5.5RoPA is maintained in writing (including electronic form)Art. 30(3)Electronic RoPA system or documented spreadsheet

Domain 6: Security of Processing (Art. 32)

#Control PointGDPR RefEvidence Required
6.1Risk assessments are conducted to determine appropriate security measuresArt. 32(1)-(2)Risk assessment reports for processing activities
6.2Pseudonymisation and encryption of personal data are implemented where appropriateArt. 32(1)(a)Encryption at rest and in transit documentation
6.3Ongoing confidentiality, integrity, availability, and resilience of systems is ensuredArt. 32(1)(b)ISO 27001 controls, access management, BCP/DR plans
6.4Ability to restore access to personal data in a timely manner after an incidentArt. 32(1)(c)Backup procedures, restoration testing records
6.5Regular testing and evaluation of security measures is performedArt. 32(1)(d)Penetration test reports, vulnerability scans, audit results
6.6Access to personal data is restricted on a need-to-know basisArt. 32(1)(b)Access control matrices, user access reviews
6.7Physical security controls protect premises where personal data is processedArt. 32(1)(b)Physical security policy, access logs
6.8Personal data breach detection and response procedures are in placeArt. 33-34Incident response plan, breach register

Domain 7: Data Protection Impact Assessments (Art. 35)

#Control PointGDPR RefEvidence Required
7.1Criteria for mandatory DPIA are defined and communicated to the organisationArt. 35(1),(3)DPIA threshold criteria, DPA blacklist consideration
7.2DPIAs are conducted before processing that is likely to result in high riskArt. 35(1)DPIA register with completion dates
7.3DPIAs contain all Art. 35(7) mandatory elements (description, necessity, risks, measures)Art. 35(7)Sample DPIA review for completeness
7.4The DPO is consulted during the DPIA processArt. 35(2)DPO consultation records, sign-off
7.5Data subject views are sought where appropriateArt. 35(9)Consultation records or documented rationale for not consulting
7.6DPIA outcomes are implemented and monitoredArt. 35(11)Remediation tracking, follow-up reviews
7.7Prior consultation with the supervisory authority is initiated when residual risk remains highArt. 36Prior consultation records (if applicable)

Domain 8: Data Protection Officer (Art. 37-39)

#Control PointGDPR RefEvidence Required
8.1A DPO is appointed where required (public authority, large-scale monitoring, special categories)Art. 37(1)DPO appointment letter, published contact details
8.2The DPO has sufficient resources, independence, and access to senior managementArt. 38(1)-(3)Budget allocation, reporting line documentation
8.3The DPO does not receive instructions regarding the exercise of their tasksArt. 38(3)Independence clause in employment/service contract
8.4The DPO's contact details are published and communicated to the supervisory authorityArt. 37(7)Website publication, DPA notification records
8.5The DPO is involved in all data protection matters in a timely mannerArt. 38(1)Meeting invitations, consultation records
8.6The DPO monitors compliance, provides advice, and cooperates with the supervisory authorityArt. 39(1)DPO activity reports, advisory records

Audit Execution Methodology

Phase 1: Planning (Week 1)

  1. Define audit scope (full organisation or targeted domains).
  2. Assemble audit team with data protection and information security expertise.
  3. Issue audit notification to business units 2 weeks in advance.
  4. Request pre-audit documentation package from each domain owner.

Phase 2: Document Review (Weeks 2-3)

  1. Review all requested evidence against each control point.
  2. Classify each control as: Effective, Partially Effective, Ineffective, or Not Implemented.
  3. Identify gaps where evidence is missing or insufficient.

Phase 3: Testing and Interviews (Weeks 3-4)

  1. Conduct interviews with processing owners, IT security, HR, legal, and the DPO.
  2. Perform sample testing of key controls (e.g., access reviews, breach simulations, DSAR process walkthroughs).
  3. Verify technical controls through configuration reviews or tool demonstrations.

Phase 4: Reporting (Week 5)

  1. Produce audit report with findings classified by severity (Critical, Major, Minor, Observation).
  2. Include a compliance score per domain and overall maturity rating.
  3. Provide prioritised remediation roadmap with owners and deadlines.
  4. Present findings to the Data Protection Steering Committee and Board.

Phase 5: Follow-up (Ongoing)

  1. Track remediation actions through the findings register.
  2. Conduct follow-up reviews at 30/60/90 day intervals depending on severity.
  3. Feed audit findings into the annual DPO report and risk register updates.

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