Agent skill

Gdpr Ropa Audit

by mukul975 in mukul975/Privacy-Data-Protection-Skills

Guides the audit of Records of Processing Activities (RoPA) against GDPR Article 30 requirements for both controllers and processors.

Apache-2.0Auto-check passedLegal & Compliance

Install Gdpr Ropa Audit

skills CLI
$ npx skills add mukul975/Privacy-Data-Protection-Skills --skill gdpr-ropa-audit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Privacy-Data-Protection-Skills gdpr-ropa-audit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/privacy/gdpr-ropa-audit .claude/skills/gdpr-ropa-audit && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
gdpr-ropa-audit
GitHub stars
301
Token cost
~2k tokens
SKILL.md length
941 words
Files
5 (incl. scripts, references, assets)
Skills in repo
280
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guides the audit of Records of Processing Activities (RoPA) against GDPR Article 30 requirements for both controllers and processors.

  • Works in 5 steps: Inventory Validation → Field Completeness Check → Accuracy Verification → …
  • Tasks that involve Privacy and GDPR
  • SKILL.md covers Overview, Controller Record Requirements…, Processor Record Requirements… and Audit Methodology, plus 3 more sections
  • Runs Python scripts from its folder

What it does

Gdpr Ropa Audit is an agent skill from mukul975/Privacy-Data-Protection-Skills. Guides the audit of Records of Processing Activities (RoPA) against GDPR Article 30 requirements for both controllers and processors. Activate when verifying RoPA completeness, validating mandatory fields, or preparing for supervisory authority inspections. Keywords: RoPA, Article 30, records audit, processing activities, controller records, processor records.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/standards.md` and `references/workflows.md`).

It sits in Legal & Compliance, covering Privacy and GDPR. The repository describes itself as: 282+ structured privacy & data protection skills for AI agents. GDPR, CCPA, EU AI Act, HIPAA, LGPD, PIPL, DPDP Act. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Privacy and GDPR

Example prompts

  • “Use the gdpr-ropa-audit skill to guide the audit of Records of Processing Activities (RoPA) against GDPR Article 30 requirements for both…”
  • “/gdpr-ropa-audit”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Inventory Validation
  2. Field Completeness Check
  3. Accuracy Verification
  4. Currency Assessment
  5. Reporting and Remediation

What it can do on your machine

Read from SKILL.md and the folder at commit 9b2ef9e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Gdpr Ropa Audit loads about 2k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 941 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Privacy-Data-Protection-Skills at commit 9b2ef9e, republished under its Apache-2.0 licence (© mukul975). 941 words, ~1,964 tokens.

Download SKILL.mdSave it as .claude/skills/gdpr-ropa-audit/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
gdpr-ropa-audit
description
Guides the audit of Records of Processing Activities (RoPA) against GDPR Article 30 requirements for both controllers and processors. Activate when verifying RoPA completeness, validating mandatory fields, or preparing for supervisory authority inspections. Keywords: RoPA, Article 30, records audit, processing activities, controller records, processor records.
license
Apache-2.0
metadata.author
mukul975
metadata.version
1.0
metadata.domain
privacy
metadata.subdomain
gdpr-compliance
metadata.tags
gdpr, article-30, ropa, records-audit, processing-activities, compliance

Conducting GDPR Article 30 Records Audit

Overview

Article 30 of the GDPR mandates that every controller and processor maintain written records of processing activities under their responsibility. This skill provides a structured methodology for auditing RoPA entries against the exhaustive field requirements specified in Art. 30(1) for controllers and Art. 30(2) for processors, ensuring completeness, accuracy, and readiness for supervisory authority review.

Controller Record Requirements — Art. 30(1)

Each processing activity record maintained by the controller must contain:

FieldGDPR ReferenceDescription
Controller identity and contact detailsArt. 30(1)(a)Name, address, and contact details of the controller, joint controller, and DPO
Purposes of processingArt. 30(1)(b)Specific, explicit, and legitimate purposes for each processing activity
Categories of data subjectsArt. 30(1)(c)Identification of all data subject groups (employees, customers, patients, minors)
Categories of personal dataArt. 30(1)(c)Types of personal data processed per activity (identifiers, financial, health, biometric)
Categories of recipientsArt. 30(1)(d)All recipients including processors, joint controllers, and third-country recipients
International transfersArt. 30(1)(e)Transfers to third countries or international organisations with safeguard documentation
Retention periodsArt. 30(1)(f)Envisaged time limits for erasure of different categories of data
Technical and organisational measuresArt. 30(1)(g)General description of Art. 32 security measures protecting the data

Processor Record Requirements — Art. 30(2)

FieldGDPR ReferenceDescription
Processor identity and contact detailsArt. 30(2)(a)Name and contact details of the processor(s), each controller on behalf of which the processor acts, and the DPO
Categories of processingArt. 30(2)(b)Categories of processing carried out on behalf of each controller
International transfersArt. 30(2)(c)Transfers to third countries or international organisations with safeguard documentation
Technical and organisational measuresArt. 30(2)(d)General description of Art. 32 security measures

Audit Methodology

Phase 1: Inventory Validation
  1. Retrieve the current RoPA from the data protection management system or document repository.
  2. Cross-reference the RoPA against the enterprise application inventory to identify processing activities not yet recorded.
  3. Verify each business unit has submitted processing activity declarations by comparing against the organisational chart.
  4. Check that shadow IT and informal data processing (spreadsheets, shared drives) have been captured through departmental interviews.
  5. Validate that both automated and manual processing activities are represented.
Phase 2: Field Completeness Check
  1. For each controller record, verify all seven mandatory fields under Art. 30(1)(a)-(g) are populated with specific, non-generic content.
  2. For each processor record, verify all four mandatory fields under Art. 30(2)(a)-(d) are completed.
  3. Flag entries where purposes are described in overly broad terms (e.g., "business operations" rather than "payroll calculation for employment contract performance").
  4. Confirm retention periods are expressed as specific durations or criteria rather than "as long as necessary."
  5. Verify that security measures reference actual implemented controls, not aspirational statements.
Phase 3: Accuracy Verification
  1. Sample 20% of RoPA entries and conduct interviews with processing owners to verify accuracy of recorded purposes, data categories, and recipients.
  2. Compare stated data flows against actual system architecture diagrams and data flow maps.
  3. Validate that international transfer records match the actual data routing observed in network and application logs.
  4. Confirm that listed recipients still have valid legal basis and contractual arrangements (Art. 28 agreements for processors, Art. 26 arrangements for joint controllers).
Show full SKILL.md (407 more words)Show less
Phase 4: Currency Assessment
  1. Check the last-reviewed date for each RoPA entry against the organisation's defined review cycle (recommended: at least annually, or upon material change).
  2. Identify entries that reference discontinued systems, former employees as contacts, or expired contracts.
  3. Verify that new processing activities introduced since the last review cycle have been added to the RoPA.
  4. Cross-reference against the change management log and DPIA register to identify unrecorded changes to processing.
Phase 5: Reporting and Remediation
  1. Produce an audit findings report categorising issues by severity: Critical (mandatory field missing), Major (field incomplete or inaccurate), Minor (formatting or administrative issue).
  2. Assign remediation owners and deadlines for each finding.
  3. Schedule a follow-up review within 30 days for critical findings and 90 days for major findings.
  4. Update the RoPA governance procedure to address systemic gaps identified during the audit.

Exemption Considerations

Article 30(5) provides a limited exemption for organisations with fewer than 250 employees, but this exemption does not apply when:

  • Processing is likely to result in a risk to data subjects' rights and freedoms
  • Processing is not occasional
  • Processing includes special categories of data under Art. 9(1) or personal data relating to criminal convictions under Art. 10

In practice, most organisations with any regular customer or employee data processing will not qualify for this exemption.

Common Audit Findings

  1. Missing processor records: Controllers maintain their own records but fail to ensure their processors maintain Art. 30(2) records.
  2. Stale contact information: DPO or controller representative details are outdated following organisational restructuring.
  3. Vague purpose descriptions: Purposes are described at department level rather than per processing activity, failing to demonstrate purpose limitation under Art. 5(1)(b).
  4. Absent retention schedules: Retention periods recorded as "in accordance with policy" without specifying the actual duration or deletion criteria.
  5. Incomplete transfer documentation: International transfers recorded without specifying the safeguard mechanism (SCCs, adequacy decision, BCRs, or derogation relied upon).
  6. No security measure description: The Art. 30(1)(g) field left blank or containing only "encryption" without describing the broader organisational and technical measures in place.

Integration Points

  • DPIA Register: Cross-reference RoPA entries flagged as high-risk with the Art. 35 DPIA register.
  • Breach Log: Verify that processing activities involved in past breaches have updated security measures in their RoPA entries.
  • Vendor Register: Validate that all processors listed in the RoPA have corresponding Art. 28 data processing agreements.
  • Training Records: Confirm processing owners have completed required data protection training.

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references, assets) in skills/privacy/gdpr-ropa-audit of mukul975/Privacy-Data-Protection-Skills.

  • SKILL.md
  • assets/template.md
  • references/standards.md
  • references/workflows.md
  • scripts/process.py

Open the folder on GitHubat commit 9b2ef9e

Compare with similar skills

Gdpr Ropa Audit next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Gdpr Ropa Audit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Gdpr Ropa Audit this skillmukul975/Privacy-Data-Protection-Skills301—~2kAutomated safety check: PassApache-2.0
C15tc15t/c15t1.9k1 repos~1.6kAutomated safety check: PassApache-2.0
HIPAA Safe Harbor Coverage Auditmaziyarpanahi/openmed5.5k—~1.7kAutomated safety check: PassApache-2.0
Korean Privacy Termskimlawtech/korean-privacy-terms587—~2.9kAutomated safety check: PassApache-2.0
Gdpr ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~3.9kAutomated safety check: PassMIT
Hipaa ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~2.3kAutomated safety check: PassMIT

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Questions about Gdpr Ropa Audit

What does Gdpr Ropa Audit do?

Guides the audit of Records of Processing Activities (RoPA) against GDPR Article 30 requirements for both controllers and processors. Gdpr Ropa Audit is an agent skill from mukul975/Privacy-Data-Protection-Skills. Guides the audit of Records of Processing Activities (RoPA) against GDPR Article 30 requirements for both controllers and processors.

When should I use Gdpr Ropa Audit?

Gdpr Ropa Audit fits situations like: tasks that involve Privacy and GDPR.

How do I install Gdpr Ropa Audit in Claude Code?

Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill gdpr-ropa-audit -a claude-code`. Or copy the skill folder (skills/privacy/gdpr-ropa-audit in mukul975/Privacy-Data-Protection-Skills) into .claude/skills/gdpr-ropa-audit in your project. Claude Code loads it when a task matches its description.

How do I install Gdpr Ropa Audit in Codex?

Run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill gdpr-ropa-audit -a codex`. Or copy the skill folder (skills/privacy/gdpr-ropa-audit in mukul975/Privacy-Data-Protection-Skills) into .agents/skills/gdpr-ropa-audit in your project. Codex loads it when a task matches its description.

Can I use Gdpr Ropa Audit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Privacy-Data-Protection-Skills --skill gdpr-ropa-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gdpr-ropa-audit, .gemini/skills/gdpr-ropa-audit, .github/skills/gdpr-ropa-audit and .opencode/skills/gdpr-ropa-audit in your project.

What does Gdpr Ropa Audit need to run?

Going by SKILL.md and its folder, Gdpr Ropa Audit needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Gdpr Ropa Audit access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Gdpr Ropa Audit safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Gdpr Ropa Audit use?

Gdpr Ropa Audit is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Gdpr Ropa Audit use?

About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.

What are the alternatives to Gdpr Ropa Audit?

Skills that share tags, products or a category with Gdpr Ropa Audit: C15t (c15t/c15t, 1.9k stars), HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars), Korean Privacy Terms (kimlawtech/korean-privacy-terms, 587 stars) and Gdpr Compliance (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Gdpr Ropa Audit?

mukul975 (a GitHub user) maintains it in mukul975/Privacy-Data-Protection-Skills, which has 301 GitHub stars. The repository holds 280 skills in this directory. The repository was last updated on March 16, 2026.

Source: mukul975/Privacy-Data-Protection-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.