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.

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Repository: ThomasMoreAI/legal-skills-open
Letzte Quellaktivität: 1. Juni 2026 um 17:27
Erkannte Sprache von SKILL.md: Englisch
Sterne: 40
Forks: 4

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npx skills add https://github.com/ThomasMoreAI/legal-skills-open --skill gdpr-compliance-audit

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SKILL.md

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fetching-arbitration-rules

Use when retrieving arbitration institutional rules (ICC, LCIA, SCC, SIAC, HKIAC, VIAC, МКАС/МАК при ТПП України, UNCITRAL) — fetching current version, verifying redaction applicable to the date of arbitration agreement, constructing URLs for official rule texts

2026-06-12

determining-pl-request-regime

Use when choosing the Polish legal regime for letters, requests, applications, complaints, petitions, public-information requests, KPA filings, PPSA complaints, RODO access requests, registry extracts, court-file access, tax/ZUS/cudzoziemcy/USC procedures, or professional lawyer letters. Prevents mixing UDIP, KPA, PPSA, RODO, registry, special-procedure, and advocate/radca letter regimes.

2026-06-12

applying-new-york-convention

Use when preparing applications for recognition and enforcement of foreign arbitral awards in Poland, applications for setting aside arbitral awards under KPC art. 1205–1211, or opposing such applications — mapping Article V of the 1958 New York Convention to art. 1214–1215 of the Polish KPC, identifying grounds for refusal, structuring public policy arguments

2026-06-12

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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:

Data Protection Principles (Art. 5)

Accountability and Governance (Art. 24, 5(2))

Privacy by Design and Default (Art. 25)

Processor Management (Art. 28)

Records of Processing (Art. 30)

Security of Processing (Art. 32)

Data Protection Impact Assessments (Art. 35)

Data Protection Officer (Art. 37-39)

Domain 1: Data Protection Principles (Art. 5)

Control Point

GDPR Ref

Evidence Required

1.1

Processing purposes are specified, explicit, and documented for each activity

Art. 5(1)(a)-(b)

RoPA with specific purpose statements

1.2

A valid lawful basis is identified and documented for each processing activity

Art. 5(1)(a), 6

Lawful basis register/assessment records

1.3

Personal data collected is adequate, relevant, and limited to what is necessary

Art. 5(1)(c)

Data minimisation reviews, field-level justification

1.4

Personal data is accurate and kept up to date with rectification procedures

Art. 5(1)(d)

Data quality processes, rectification logs

1.5

Retention periods are defined for all data categories with deletion/anonymisation procedures

Art. 5(1)(e)

Retention schedule, deletion logs

1.6

Appropriate security measures protect personal data against unauthorised access, loss, or destruction

Art. 5(1)(f)

Security controls documentation, pen test reports

1.7

The controller can demonstrate compliance with all principles (accountability)

Art. 5(2)

Compiled evidence portfolio

Domain 2: Accountability and Governance (Art. 24)

Conducting Data Protection Audit

Overview

Audit Framework Structure

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

Data Protection Principles (Art. 5)

Accountability and Governance (Art. 24, 5(2))

Privacy by Design and Default (Art. 25)

Processor Management (Art. 28)

Records of Processing (Art. 30)

Security of Processing (Art. 32)

Data Protection Impact Assessments (Art. 35)

Data Protection Officer (Art. 37-39)

Domain 1: Data Protection Principles (Art. 5)

Control Point

GDPR Ref

Evidence Required

1.1

Processing purposes are specified, explicit, and documented for each activity

Art. 5(1)(a)-(b)

RoPA with specific purpose statements

1.2

A valid lawful basis is identified and documented for each processing activity

Art. 5(1)(a), 6

Lawful basis register/assessment records

1.3

Personal data collected is adequate, relevant, and limited to what is necessary

Art. 5(1)(c)

Data minimisation reviews, field-level justification

1.4

Personal data is accurate and kept up to date with rectification procedures

Art. 5(1)(d)

Data quality processes, rectification logs

1.5

Retention periods are defined for all data categories with deletion/anonymisation procedures

Art. 5(1)(e)

Retention schedule, deletion logs

1.6

Appropriate security measures protect personal data against unauthorised access, loss, or destruction

Art. 5(1)(f)

Security controls documentation, pen test reports

1.7

The controller can demonstrate compliance with all principles (accountability)

Art. 5(2)

Compiled evidence portfolio

Domain 2: Accountability and Governance (Art. 24)

name	gdpr-compliance-audit
title	Conducting Data Protection Audit
description	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.
author	onfire7777
author_url	https://github.com/onfire7777/universal-ai-skills-library/tree/main/skills/gdpr-compliance-audit
license	MIT
version	0.1.0
execution_mode	open
jurisdiction	general
practice	data-protection
language	en

name	gdpr-compliance-audit
title	Conducting Data Protection Audit
description	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.
author	onfire7777
author_url	https://github.com/onfire7777/universal-ai-skills-library/tree/main/skills/gdpr-compliance-audit
license	MIT
version	0.1.0
execution_mode	open
jurisdiction	general
practice	data-protection
language	en

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

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

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

gdpr-compliance-audit

Installationsoptionen

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Conducting Data Protection Audit

Overview

Audit Framework Structure

Domain 1: Data Protection Principles (Art. 5)

Domain 2: Accountability and Governance (Art. 24)

Conducting Data Protection Audit

Overview

Audit Framework Structure

Domain 1: Data Protection Principles (Art. 5)

Domain 2: Accountability and Governance (Art. 24)

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

Domain 4: Processor Management (Art. 28)

Domain 5: Records of Processing (Art. 30)

Domain 6: Security of Processing (Art. 32)

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

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

Audit Execution Methodology

Phase 1: Planning (Week 1)

Phase 2: Document Review (Weeks 2-3)

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

Phase 4: Reporting (Week 5)

Phase 5: Follow-up (Ongoing)

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

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

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

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

gdpr-compliance-audit

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Mehr aus diesem Repository

Mehr aus diesem Repository

Conducting Data Protection Audit

Overview

Audit Framework Structure

Domain 1: Data Protection Principles (Art. 5)

Domain 2: Accountability and Governance (Art. 24)

Conducting Data Protection Audit

Overview

Audit Framework Structure

Domain 1: Data Protection Principles (Art. 5)

Domain 2: Accountability and Governance (Art. 24)

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

Domain 4: Processor Management (Art. 28)

Domain 5: Records of Processing (Art. 30)

Domain 6: Security of Processing (Art. 32)

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

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

Audit Execution Methodology

Phase 1: Planning (Week 1)

Phase 2: Document Review (Weeks 2-3)

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

Phase 4: Reporting (Week 5)

Phase 5: Follow-up (Ongoing)