Agent skill

Ropa Completeness Audit

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

Audits Records of Processing Activities against supervisory authority templates from CNIL, ICO, and BfDI.

Apache-2.0Auto-check passedLegal & Compliance

Install Ropa Completeness Audit

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

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

GitHub CLI
$ gh skill install mukul975/Privacy-Data-Protection-Skills ropa-completeness-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/ropa-completeness-audit .claude/skills/ropa-completeness-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
ropa-completeness-audit
GitHub stars
297
Token cost
~2.6k tokens
SKILL.md length
1,107 words
Files
5 (incl. scripts, references, assets)
Skills in repo
280
Repo updated
First seen
Licence
Apache-2.0

At a glance

Audits Records of Processing Activities against supervisory authority templates from CNIL, ICO, and BfDI.

  • Works in 3 steps: Template Selection → Field-by-Field Comparison → Gap Register
  • Tasks that involve Privacy and GDPR
  • SKILL.md covers Overview, Supervisory Authority Template…, Completeness Scoring Methodology and Gap Identification Process, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Ropa Completeness Audit is an agent skill from mukul975/Privacy-Data-Protection-Skills. Audits Records of Processing Activities against supervisory authority templates from CNIL, ICO, and BfDI. Provides completeness scoring, gap identification, and remediation tracking. Activate for RoPA audit, completeness check, supervisory authority readiness, CNIL template, ICO template, BfDI template, gap analysis.

Its SKILL.md is about 2.6k 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 ropa-completeness-audit skill to audit Records of Processing Activities against supervisory authority templates from CNIL, ICO, and BfDI”
  • “/ropa-completeness-audit”

Requirements

  • Python 3

Workflow steps

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

  1. Template Selection
  2. Field-by-Field Comparison
  3. Gap Register

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

Ropa Completeness Audit loads about 2.6k tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 86 tokens; SKILL.md has 1,107 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.1k

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). 1,107 words, ~2,647 tokens.

Download SKILL.mdSave it as .claude/skills/ropa-completeness-audit/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
ropa-completeness-audit
description
Audits Records of Processing Activities against supervisory authority templates from CNIL, ICO, and BfDI. Provides completeness scoring, gap identification, and remediation tracking. Activate for RoPA audit, completeness check, supervisory authority readiness, CNIL template, ICO template, BfDI template, gap analysis.
license
Apache-2.0
metadata.author
mukul975
metadata.version
1.0
metadata.domain
privacy
metadata.subdomain
records-of-processing
metadata.tags
gdpr, ropa, audit, completeness, cnil, ico, bfdi, gap-analysis, remediation

RoPA Completeness Audit

Overview

Supervisory authorities across the EEA publish RoPA templates and guidance that extend beyond the bare minimum Art. 30(1) requirements. While Art. 30(1) mandates seven fields, supervisory authorities such as CNIL, ICO, and BfDI expect additional information in practice. This skill provides a methodology for auditing RoPA entries against these expanded expectations, calculating completeness scores, identifying gaps, and tracking remediation to achieve supervisory authority readiness.

Supervisory Authority Template Comparison

CNIL (France) Template

The CNIL publishes the most structured RoPA template in the EU, available in both PDF and machine-readable (CSV/JSON) format. The CNIL template requires the Art. 30 mandatory fields plus additional recommended fields:

FieldArt. 30 MandatoryCNIL RequiredCNIL Recommended
Controller identity and contactYes (a)Yes—
Joint controller detailsYes (a)Yes—
DPO contactYes (a)Yes—
Processing activity name—Yes—
Purposes of processingYes (b)Yes—
Lawful basis (Art. 6)——Yes
Data subject categoriesYes (c)Yes—
Personal data categoriesYes (c)Yes—
Special category indication (Art. 9)——Yes
Recipient categoriesYes (d)Yes—
Processor details with DPA reference——Yes
International transfersYes (e)Yes—
Transfer safeguard mechanism—Yes—
Retention periodsYes (f)Yes—
Security measuresYes (g)Yes—
DPIA conducted (yes/no)——Yes
DPIA reference——Yes
Last review date——Yes
ICO (United Kingdom) Template

The ICO template aligns with UK GDPR Art. 30 and includes guidance notes for each field:

FieldArt. 30 MandatoryICO RequiredICO Recommended
Controller name and contactYes (a)Yes—
DPO contactYes (a)Yes—
Purposes of processingYes (b)Yes—
Lawful basis—Yes—
Legitimate interest description (if applicable)——Yes
Data subject categoriesYes (c)Yes—
Personal data categoriesYes (c)Yes—
Special category data and Art. 9 condition—Yes—
RecipientsYes (d)Yes—
International transfers with safeguardsYes (e)Yes—
Retention periodsYes (f)Yes—
Technical and organisational measuresYes (g)Yes—
Link to privacy notice——Yes
DPIA reference——Yes
BfDI (Germany) Template

The German Federal Commissioner for Data Protection (BfDI) publishes guidance (Hinweise zum Verzeichnis von Verarbeitungstaetigkeiten) with sector-specific requirements:

FieldArt. 30 MandatoryBfDI RequiredBfDI Recommended
Controller identity (Verantwortlicher)Yes (a)Yes—
DPO (Datenschutzbeauftragte/r)Yes (a)Yes—
Purpose (Zweck der Verarbeitung)Yes (b)Yes—
Lawful basis (Rechtsgrundlage)—Yes—
Data subject categories (Kategorien betroffener Personen)Yes (c)Yes—
Personal data categories (Kategorien personenbezogener Daten)Yes (c)Yes—
Recipients (Empfaenger)Yes (d)Yes—
Transfers to third countries (Uebermittlungen in Drittlaender)Yes (e)Yes—
Transfer safeguard with reference—Yes—
Retention periods (Loeschfristen)Yes (f)Yes—
Technical measures (Technische Massnahmen)Yes (g)Yes—
Organisational measures (Organisatorische Massnahmen)—Yes—
Responsible department (Verantwortliche Fachabteilung)——Yes
IT systems used——Yes

Completeness Scoring Methodology

Scoring Framework

Each RoPA entry is scored against a three-tier assessment:

  1. Tier 1 — Art. 30 Mandatory Compliance (40% weight): Are all seven Art. 30(1) mandatory fields populated?
  2. Tier 2 — Supervisory Authority Expectations (35% weight): Does the entry meet the selected SA's expanded requirements?
  3. Tier 3 — Quality Assessment (25% weight): Are populated fields specific, accurate, and current?
Tier 1: Mandatory Field Scoring
FieldPresent (1/0)Quality Score (0-3)
Art. 30(1)(a) Controller identity[1/0]0 = Missing, 1 = Partial, 2 = Complete, 3 = Excellent
Art. 30(1)(b) Purposes[1/0]0-3
Art. 30(1)(c) Data subject categories[1/0]0-3
Art. 30(1)(c) Personal data categories[1/0]0-3
Art. 30(1)(d) Recipients[1/0]0-3
Art. 30(1)(e) International transfers[1/0]0-3
Art. 30(1)(f) Retention periods[1/0]0-3
Art. 30(1)(g) Security measures[1/0]0-3

Quality scoring criteria:

  • 0 (Missing): Field is empty or contains only "N/A" where substantive content is expected.
  • 1 (Partial): Field contains some content but is materially incomplete (e.g., "employees" without further granularity for data subjects).
  • 2 (Complete): Field satisfies the legal requirement with specific, substantive content.
  • 3 (Excellent): Field exceeds minimum requirements with cross-references, supporting detail, and regulatory alignment.
Tier 2: SA-Specific Field Scoring

Score additional fields required or recommended by the target SA. Each SA template adds 3-6 fields beyond Art. 30 minimums.

Show full SKILL.md (466 more words)Show less
Tier 3: Quality Metrics
MetricScoring
Purpose specificity0-3 (penalise vague terms per EDPB guidance)
Retention concreteness0-3 (penalise "as long as necessary" type terms)
Transfer mechanism documentation0-3 (must identify specific mechanism, not just "safeguards in place")
Review currency0-3 (reviewed within 12m = 3, 12-18m = 2, 18-24m = 1, >24m = 0)
DPA cross-reference0-3 (all processors have DPA refs = 3)
Overall Completeness Score Calculation
Tier 1 Score = (fields present / 8) * (avg quality / 3) * 100
Tier 2 Score = (SA fields present / SA total fields) * (avg quality / 3) * 100
Tier 3 Score = (sum of quality metrics / max possible) * 100

Overall = (Tier 1 * 0.40) + (Tier 2 * 0.35) + (Tier 3 * 0.25)

Readiness thresholds:

ScoreRatingInterpretation
95-100%ExcellentSupervisory authority ready — no immediate action
85-94%GoodMinor improvements recommended before SA interaction
70-84%AcceptableMaterial gaps exist — remediation plan required
50-69%PoorSignificant non-compliance risk — urgent remediation
Below 50%CriticalRoPA fundamentally deficient — rebuild required

Gap Identification Process

Step 1: Template Selection

Select the primary supervisory authority template based on:

  • The country where the controller is established (lead SA under one-stop-shop)
  • Any pending investigations or correspondence with a specific SA
  • Regulatory expectations in the primary market
Step 2: Field-by-Field Comparison

For each RoPA entry, compare every field against the selected SA template and classify:

ClassificationDefinitionRemediation Priority
CompliantField meets or exceeds SA expectationsNone
Gap — MissingRequired field is absentHigh
Gap — IncompleteField is present but does not meet SA expectationsMedium
Gap — StaleField content is outdatedMedium
Gap — VagueField content uses imprecise languageMedium
EnhancementSA-recommended field not presentLow
Step 3: Gap Register

Compile all identified gaps into a structured register:

Gap IDRecord IDProcessing ActivityFieldClassificationSA TemplateDescriptionSeverityRemediation OwnerTarget DateStatus
GAP-001RPA-023Customer analyticsArt. 30(1)(f)MissingCNILRetention period field is emptyCriticalStefan Richter[Date]Open
GAP-002RPA-034Website analyticsArt. 30(1)(b)VagueCNILPurpose too broad ("analytics")MajorJulia Richter[Date]Open

Remediation Tracking

Remediation Workflow
  1. Gap register creation: Compile all gaps from the audit into the register.
  2. Prioritisation: Sort by severity (Critical > Major > Minor > Enhancement).
  3. Owner assignment: Assign each gap to the processing owner responsible for the affected entry.
  4. Deadline setting: Critical = 30 days, Major = 60 days, Minor = 90 days, Enhancement = next annual review.
  5. Progress tracking: Weekly status updates on Critical items, bi-weekly on Major items.
  6. Verification: DPO verifies each remediated gap before closing.
  7. Re-scoring: After remediation cycle, re-calculate completeness scores.
Remediation Status Dashboard
SeverityTotalOpenIn ProgressRemediatedVerified
Critical30111
Major112432
Minor93231
Enhancement85120
Total3110894

Audit Frequency

Audit TypeFrequencyScope
Full completeness auditAnnuallyAll RoPA entries against selected SA template
Targeted audit (post-change)As neededEntries affected by organisational or regulatory change
Pre-investigation readiness checkOn demandFull RoPA in preparation for SA investigation or inquiry
Automated completeness scanMonthlyAll entries — field presence and vague term detection only

© 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/ropa-completeness-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

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Korean Privacy Termskimlawtech/korean-privacy-terms586—~2.9kAutomated safety check: PassApache-2.0
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Hipaa ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9431 repos~2.3kAutomated safety check: PassMIT

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Questions about Ropa Completeness Audit

What does Ropa Completeness Audit do?

Audits Records of Processing Activities against supervisory authority templates from CNIL, ICO, and BfDI. Ropa Completeness Audit is an agent skill from mukul975/Privacy-Data-Protection-Skills. Audits Records of Processing Activities against supervisory authority templates from CNIL, ICO, and BfDI.

When should I use Ropa Completeness Audit?

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

How do I install Ropa Completeness Audit in Claude Code?

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

How do I install Ropa Completeness Audit in Codex?

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

Can I use Ropa Completeness 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 ropa-completeness-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/ropa-completeness-audit, .gemini/skills/ropa-completeness-audit, .github/skills/ropa-completeness-audit and .opencode/skills/ropa-completeness-audit in your project.

What does Ropa Completeness Audit need to run?

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

Does Ropa Completeness 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 Ropa Completeness 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 Ropa Completeness Audit use?

Ropa Completeness 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 Ropa Completeness Audit use?

About 2.6k tokens (SKILL.md is roughly 11k 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 2.5k tokens, read only when the agent opens those files.

What are the alternatives to Ropa Completeness Audit?

Skills that share tags, products or a category with Ropa Completeness Audit: C15t (c15t/c15t, 1.9k stars), HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars), Korean Privacy Terms (kimlawtech/korean-privacy-terms, 586 stars) and Gdpr Compliance (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 943 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ropa Completeness Audit?

mukul975 (a GitHub user) maintains it in mukul975/Privacy-Data-Protection-Skills, which has 297 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.