Skip to content
Agentmart
Submit a tool

conducting-gdpr-compliance-assessment

Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of…

Skill by mukul975

IndexedApache-2.0★ 34,941
Write a review

Chalk Labs

Need help deploying conducting-gdpr-compliance-assessment?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/mukul975-conducting-gdpr-compliance-assessment

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.

Use cases: design, data, security, writing

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/conducting-gdpr-compliance-assessment

What's inside

Skill name
conducting-gdpr-compliance-assessment
Description
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
License
Apache-2.0
Instructions
251 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (9)

  • LICENSE
  • SKILL.md
  • compliance-scorecard.md · assets/
  • api-reference.md · references/
  • detailed-workflow.md · references/
  • standards.md · references/
  • article30_parser.py · scripts/
  • article30_validator.py · scripts/
  • generate_ropa_report.py · scripts/

SKILL.md (first lines)

# Conducting GDPR Compliance Assessment

> **Effective Date**: August 2026  
> **Legal Basis**: EU Regulation 2016/679 (GDPR), UK GDPR as amended by Data Protection Act 2018 and Data (Use and Access) Act 2025 (ukpga/2025/18)  
> **Pending Changes**: Digital Omnibus proposal (COM(2025) 837) would change Article 30(5) threshold from 250 to 750 employees and Article 33 breach notification from 72h to 96h. Still in proposal stage; current requirements remain in force.

## When to Use

- When an organization **processes personal data of EU residents** (Article 3 territorial scope applies)
- When preparing for a **supervisory authority audit** (ICO, CNIL, BfDI) or responding to formal inquiry
- When implementing **privacy-by-design** requirements (Article 25) for new systems or data flows
- When **scoping compliance gaps** before M&A due diligence or contract negotiations with EU entities
- When responding to **data subject access requests (DSARs)** and discovering gaps in data inventory
- When assessing **third-party processors** for GDPR compliance before signing Data Processing Agreements (DPAs)
- After **data breach incidents** to verify notification procedures meet 72-hour requirement (Article 33)

**Do not use** for:
- **Technical implementation** of specific GDPR controls (encryption, pseudonymization, access controls) — use **implementing-gdpr-data-protection-controls** for Article 32 technical/organizational measures
- **Automated DSAR processing workflows** (identity verification, PII discovery, redaction, delivery) — use **implementing-gdpr-data-subject-access-request** for DSAR automation
- Non-EU privacy frameworks alone (CCPA, PIPEDA, LGPD); those require separate assessments with jurisdiction-specific criteria
- This skill is for **comprehensive compliance assessment** across all GDPR articles; use the specialized skills for focused implementation tasks

## Prerequisites

- Understanding of GDPR Articles 5-32 and key definitions
- Access to Article 30 records of processing activities
- Data Processing Agreements with third-party processors
- Privacy policies, consent forms, cookie notices
- Knowledge of lawful bases (Article 6)
- Data breach response plan and incident register
- List of international data transfers with safeguards

## Workflow

**For detailed procedures, templates, and examples, see `references/detailed-workflow.md`**

### Phase 1: Determine Territorial Applicability (Article 3)

GDPR applies if:
1. Organization has establishment in EU
2. Offers goods/services to EU residents
3. Monitors behavior of EU residents

**Check**: EU office? EU website targeting? Behavioral tracking?

### Phase 2: Inventory Data Processing Activities (Article 30)

Document for EACH activity:
- Controller/processor details
- Processing purposes (specific)
- Data categories and special categories (Art. 9)
- Recipients and international transfers
- Retention periods
- Security measures

**Tools**: Use `scripts/article30_parser.py`, `article30_validator.py`, `generate_ropa_report.py`

**Common gaps**: Missing retention periods (68%), vague purposes, undocumented transfers

### Phase 3: Validate Lawful Basis (Article 6)

| Basis | Use Case | Key Requirement |
|-------|----------|-----------------|
| **Consent** (6(1)(a)) | Marketing, profiling | Freely given, specific, withdrawable |
| **Contract** (6(1)(b)) | Order fulfillment | Strictly necessary only |
| **Legal Obligation** (6(1)(c)) | Tax records | Cite specific law |
| **Legitimate Interest** (6(1)(f)) | Fraud prevention, analytics | Three-part test + balancing |

**Action**: Map each Article 30 activity to one lawful basis. Document legitimate interest assessments.

### Phase 4: Assess Data Subject Rights (Articles 12-23)

Verify capability for:
- **Access** (15): Provide copy in machine-readable format within 1 month
- **Rectification** (16): Correct inaccurate data
- **Erasure** (17): "Right to be forgotten" (with exceptions)
- **Portability** (20): Transfer data in structured format
- **Objection** (21): Opt-out of legitimate interest processing
- **Automated Decision-Making** (22): Human review of algorithmic decisions

**Test**: Process sample DSAR through full workflow. Use `scripts/` for automation.

### Phase 5: Review DPIAs (Article 35)

DPIA **mandatory** for:
- Large-scale profiling with automated decisions
- Large-scale special categories processing
- Systematic monitoring of public areas (facial recognition)

**Template**: See `references/detailed-workflow.md` for complete DPIA structure

**Content**: Description, necessity, risks, mitigation, consultation (DPO, supervisory authority if novel high-risk)

### Phase 6: Audit Breach Notification (Articles 33-34)

**72-hour rule**: Notify supervisory authority within 72 hours of becoming aware of breach likely to risk rights.

**Decision tree**:
- Unencrypted SSNs stolen? → NOTIFY + notify data subjects
- Encrypted backup stolen (key secure)? → Document only
- Temporary exposure (2 hours, no financial data)? → NOTIFY authority, assess data subject notification

**Content**: Nature, categories/numbers, DPO contact, consequences, mitigation

### Phase 7: Verify International Transfers (Chapter V)

**Mechanisms**:
- Adequacy decisions (UK, Japan, etc.)
- Standard Contractual Clauses (SCCs) 2021 + Transfer Impact Assessment
- Binding Corporate Rules (BCRs)
- Derogations (Article 49 - limited)

**Post-Schrems II**: Assess destination country surveillance laws, implement supplementary measures (encryption with EU-held keys)

### Phase 8: Assess Security Measures (Article 32)

"Security appropriate to the risk":
- **Low risk**: TLS 1.2+, password hashing, access logs, patching
- **Medium risk**: AES-256 encryption, MFA, RBAC, penetration testing, SOC 2
- **High risk**: HSMs, key rotation, SIEM, bug bounty, ISO 27001

From mukul975/Anthropic-Cybersecurity-Skills, Apache-2.0.

More from mukul975/Anthropic-Cybersecurity-Skills

Signals

Stars
34,941
Forks
4,256
Open issues
24
Last commit (this folder)
Aug 24, 2026 (2 months ago)
Last release
Jun 22, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from mukul975

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get conducting-gdpr-compliance-assessment running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying conducting-gdpr-compliance-assessment?

CallGet help
Cite this page

conducting-gdpr-compliance-assessment skill. Agent Mart. https://agentmart.dev/skills/mukul975-conducting-gdpr-compliance-assessment (last updated 2026-10-24)