Agent skill

Dpia Sentinel Oliver Schmidt Prietz

by lawve-ai in lawve-ai/awesome-legal-skills

GDPR Data Protection Impact Assessment (DPIA) guidance under Article 35 GDPR, EDPB Guidelines WP 248 rev.01, EDPB Opinion 28/2024 (AI), and national SA blacklists/whitelists.

AGPL-3.0Auto-check passedLegal & Compliance

Install Dpia Sentinel Oliver Schmidt Prietz

skills CLI
$ npx skills add lawve-ai/awesome-legal-skills --skill dpia-sentinel-oliver-schmidt-prietz -a claude-code

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

GitHub CLI
$ gh skill install lawve-ai/awesome-legal-skills dpia-sentinel-oliver-schmidt-prietz --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/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dpia-sentinel-oliver-schmidt-prietz .claude/skills/dpia-sentinel-oliver-schmidt-prietz && 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
dpia-sentinel-oliver-schmidt-prietz
GitHub stars
847
Token cost
~2.6k tokens
SKILL.md length
1,267 words
Files
21 (incl. references)
Skills in repo
154
Repo updated
First seen
Licence
AGPL-3.0

At a glance

GDPR Data Protection Impact Assessment (DPIA) guidance under Article 35 GDPR, EDPB Guidelines WP 248 rev.01, EDPB Opinion 28/2024 (AI), and national SA blacklists/whitelists.

  • Works in 12 steps: Art. 35(3) triggers are absolute. If any… → The two-criteria rule is a presumption,… → Art. 9 is cumulative with Art. 6.… → …
  • Tasks that involve Privacy and GDPR
  • SKILL.md covers Disclaimer (show at session…, Routing, Assessment Flow and Legal Precision Points, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Dpia Sentinel Oliver Schmidt Prietz is an agent skill from lawve-ai/awesome-legal-skills. GDPR Data Protection Impact Assessment (DPIA) guidance under Article 35 GDPR, EDPB Guidelines WP 248 rev.01, EDPB Opinion 28/2024 (AI), and national SA blacklists/whitelists. Triggers: "DPIA", "DSFA", "Datenschutz-Folgenabschätzung", "impact assessment", "Art. 35", "do I need a DPIA", descriptions of new high-risk processing (profiling, AI, biometrics, large-scale monitoring, special category data), Art. 36 prior consultation questions, national blacklist/whitelist queries.

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files, including reference files (for example `README.md`, `evals.json` and `references/dpia-custom-population.md`).

It sits in Legal & Compliance, covering Privacy and GDPR. It works with Microsoft Word. The repository describes itself as: A curated list of awesome Agent Skills for automating legal work. The licence is AGPL-3.0.

When your agent uses it

  • Tasks that involve Privacy and GDPR

Example prompts

  • “Datenschutz-Folgenabschätzung”
  • “impact assessment”
  • “Art. 35”
  • “/dpia-sentinel-oliver-schmidt-prietz”

Workflow steps

12 steps, taken from the first numbered list in SKILL.md.

  1. Art. 35(3) triggers are absolute. If any of the three mandatory cases apply (systematic extensive automated evaluation with…
  2. The two-criteria rule is a presumption, not a mandate. Meeting 2+ of the 9 EDPB criteria creates a strong presumption a DPIA is needed…
  3. Art. 9 is cumulative with Art. 6. Special category data always needs BOTH a legal basis under Art. 6 AND an exception under Art. 9(2)…
  4. "Large scale" has no fixed number. The EDPB uses four factors: number of subjects, data volume, duration, geographic extent. An individual…
  5. National blacklists are additive, not exhaustive. Processing not on a blacklist may still require a DPIA. A blacklist entry in the…
  6. Multi-jurisdictional processing requires checking ALL relevant blacklists. Art. 35(4) lists are territorial — the DPIA obligation is…
  7. DPIA must happen before processing begins (Art. 35(1)). It is a pre-processing obligation, not a retroactive compliance exercise. If…
  8. AI requires dual-phase analysis (EDPB Opinion 28/2024). Training and deployment are separate processing activities with distinct risk…
  9. Art. 36 prior consultation is sequential to the DPIA, not part of it. The DPIA identifies residual risk; if that risk remains high after…
  10. Pseudonymization as risk reducer (EDPB Guidelines 01/2025 on Pseudonymisation, adopted 17 January 2025): Effective pseudonymization with…
  11. Risk assessment is from the data subject's perspective. A DPIA assesses risks to rights and freedoms of natural persons (Recital 75), not…
  12. AI Act FRIA is distinct from DPIA. For high-risk AI systems under the AI Act, a Fundamental Rights Impact Assessment (FRIA) may also be…

What it can do on your machine

Read from SKILL.md and the folder at commit 045f738. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Dpia Sentinel Oliver Schmidt Prietz loads about 2.6k tokens when it runs, and up to ~53k if it reads all its reference files. Until then it costs about 129 tokens; SKILL.md has 1,267 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~129
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
~53k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from lawve-ai/awesome-legal-skills at commit 045f738, republished under its AGPL-3.0 licence (© lawve-ai). 1,267 words, ~2,617 tokens.

Download SKILL.mdSave it as .claude/skills/dpia-sentinel-oliver-schmidt-prietz/SKILL.md (or your agent's skills folder). This skill also uses 20 other files; get the full folder from GitHub.
name
dpia-sentinel-oliver-schmidt-prietz
description
GDPR Data Protection Impact Assessment (DPIA) guidance under Article 35 GDPR, EDPB Guidelines WP 248 rev.01, EDPB Opinion 28/2024 (AI), and national SA blacklists/whitelists. Triggers: "DPIA", "DSFA", "Datenschutz-Folgenabschätzung", "impact assessment", "Art. 35", "do I need a DPIA", descriptions of new high-risk processing (profiling, AI, biometrics, large-scale monitoring, special category data), Art. 36 prior consultation questions, national blacklist/whitelist queries.
metadata.author
Oliver Schmidt-Prietz
metadata.license
AGPL-3.0
metadata.version
2026.06.05

DPIA Sentinel

Disclaimer (show at session start, do not block)

Important: This skill provides structured GDPR Article 35 guidance based on EDPB Guidelines and national SA requirements. It is not legal advice. Involve your DPO (Art. 35(2)) and qualified counsel for final decisions.

Routing

Determine what the user needs and load references accordingly:

User NeedLoad These ReferencesAction
"Do I need a DPIA?" / threshold questionreferences/edpb-criteria.md + relevant jurisdiction file(s)Run threshold assessment
Full DPIAedpb-criteria.md + jurisdiction(s) + references/risk-catalog.md + scoring.mdWalk through assessment phases
Document generation (.docx) — custom formatreferences/dpia-custom-population.md + references/templates.md + docx skillPopulate custom template .docx (unpack → fill tables → repack)
Document generation (.docx) — EDPB 2026 formatreferences/edpb-2026-population.md + references/edpb-2026-template.md + docx skillPopulate official EDPB template .docx (unpack → fill tables → repack)
Specific legal questionLoad relevant reference onlyAnswer directly

Jurisdiction selection: Ask two questions: (1) Where is the controller's main establishment? (2) Where are the data subjects located? Load all jurisdiction files that are relevant — this may be multiple files for multi-jurisdictional processing. See references/edpb-criteria.md → "Multi-Jurisdictional DPIA Analysis" for the full decision framework.

Available jurisdiction files:

  • references/jurisdictions/de-dsk.md — Germany
  • references/jurisdictions/fr-cnil.md — France
  • references/jurisdictions/ie-dpc.md — Ireland
  • references/jurisdictions/be-apd.md — Belgium
  • references/jurisdictions/nl-ap.md — Netherlands
  • references/jurisdictions/it-garante.md — Italy
  • references/jurisdictions/pl-uodo.md — Poland
  • references/jurisdictions/whitelists.md — France, Czech Republic, Spain, Austria

For jurisdictions not covered by a dedicated file, rely on the EDPB nine-criteria analysis in references/edpb-criteria.md and note that the user should check their national SA's Art. 35(4) list directly.

Assessment Flow

Threshold → Description → Asset Inventory → Necessity → Proportionality → Inherent Risks (Track A+B) → Mitigations → Residual Risk → Art. 36 Check → Documentation

This is the logical sequence, not a rigid script. Adapt to the user: if they provide rich context upfront, skip intake questions. If they're experienced, move faster. If they're new to DPIAs, explain more.

Asset Inventory (per EDPB Template 2026, Section 1.3): Collect risk-relevant assets — hardware, software, APIs/models, personnel, sites/premises, organisational assets. Group by logical module or technical layer. Include only assets whose compromise would plausibly impact data subjects' rights and freedoms.

Necessity and Proportionality are separate upstream gates (EDPB Template 2026, Section 3). Necessity: is the processing effective and least intrusive? Proportionality: do the benefits justify the impacts? These must be assessed before the risk mitigation phase.

Two risk tracks (per EDPB Template 2026): Track A identifies inherent-by-design risks (from processing working as intended). Track B identifies operational risks (from accidental/unlawful/abnormal events). Both are scored using the same L×S + modulating factors methodology in references/scoring.md.

The assessment is iterative: if mitigations in later stages change the processing design, revisit earlier analysis and flag this to the user.

These are areas where Claude's training knowledge may be imprecise. Always apply these rules:

  1. Art. 35(3) triggers are absolute. If any of the three mandatory cases apply (systematic extensive automated evaluation with legal/significant effect; large-scale special category/criminal data; systematic monitoring of publicly accessible areas on large scale), a DPIA is required — no balancing, no judgment call.

  2. The two-criteria rule is a presumption, not a mandate. Meeting 2+ of the 9 EDPB criteria creates a strong presumption a DPIA is needed. But a DPIA may be needed with only 1 criterion, and may be justified as unnecessary with 2 — if thoroughly documented. See WP 248 rev.01, p. 11.

  3. Art. 9 is cumulative with Art. 6. Special category data always needs BOTH a legal basis under Art. 6 AND an exception under Art. 9(2). These are separate legal hurdles.

  4. "Large scale" has no fixed number. The EDPB uses four factors: number of subjects, data volume, duration, geographic extent. An individual doctor is not large scale; a regional hospital is. Never cite a specific numerical threshold.

  5. National blacklists are additive, not exhaustive. Processing not on a blacklist may still require a DPIA. A blacklist entry in the relevant jurisdiction overrides whitelist exemptions from other jurisdictions.

  6. Multi-jurisdictional processing requires checking ALL relevant blacklists. Art. 35(4) lists are territorial — the DPIA obligation is triggered if the processing matches a blacklist in ANY jurisdiction where the controller is established OR where data subjects are located. The one-stop-shop mechanism (Art. 56) governs enforcement jurisdiction, but it does NOT limit which Art. 35(4) lists apply to the DPIA obligation itself. A single DPIA can address multiple jurisdictions, but the threshold analysis must run against each applicable national list. See references/edpb-criteria.md → "Multi-Jurisdictional DPIA Analysis" for details.

  7. DPIA must happen before processing begins (Art. 35(1)). It is a pre-processing obligation, not a retroactive compliance exercise. If processing has already started, the DPIA should still be done but note this as a compliance gap.

  8. AI requires dual-phase analysis (EDPB Opinion 28/2024). Training and deployment are separate processing activities with distinct risk profiles. A deployer cannot simply rely on the model provider's DPIA.

  9. Art. 36 prior consultation is sequential to the DPIA, not part of it. The DPIA identifies residual risk; if that risk remains high after all feasible mitigations, Art. 36 requires consulting the SA before processing begins. The SA has 8 weeks (extendable by 6).

  10. Pseudonymization as risk reducer (EDPB Guidelines 01/2025 on Pseudonymisation, adopted 17 January 2025): Effective pseudonymization with technically separated additional information can meaningfully reduce likelihood scores in risk assessment. But it must be genuine — if re-identification is trivial, it doesn't reduce risk.

  11. Risk assessment is from the data subject's perspective. A DPIA assesses risks to rights and freedoms of natural persons (Recital 75), not corporate/business risks. Identity theft risk to the individual, not reputational risk to the company.

  12. AI Act FRIA is distinct from DPIA. For high-risk AI systems under the AI Act, a Fundamental Rights Impact Assessment (FRIA) may also be required. DPIA (data protection risks) and FRIA (broader fundamental rights) are complementary — one does not replace the other.

  13. EDPB DPIA Template (v1.0, March 2026) provides a harmonised EU-wide DPIA structure but does not mandate a specific risk scoring methodology. Controllers may use any established methodology (CNIL PIA, DSK SDM, etc.); the template records the minimum required information in a standardised format. National SA requirements and methodologies remain valid complements. Note: the template was adopted for public consultation — check for final version updates.

Show full SKILL.md (262 more words)Show less

Output Formats

Threshold result: Present a clear verdict (DPIA Required / Recommended / Not Required) with the reasoning showing Art. 35(3) check, criteria analysis, and national list check.

Risk register: Table with Risk ID, Track (A/B), Description, Rights Category, Likelihood (1-5), Severity (1-5), Score, Modulating Factors, Adjusted Level. Use the scoring methodology in references/scoring.md.

Residual risk overview: Summary showing total risks by level before and after additional mitigation, plus overall verdict (APPROVED / CONDITIONALLY APPROVED / CONSULT SA / REJECTED).

Documents: Both formats use template population (unpack → fill → repack) for consistent styling. Read the docx skill first, then the relevant population guide:

  • EDPB 2026 format: Populate references/edpb-2026-template-v1.docx using references/edpb-2026-population.md. Official format recognized by all EU SAs.
  • Custom 12-section format: Populate references/dpia-custom-template-v1.docx using references/dpia-custom-population.md. Includes threshold analysis, jurisdictional blacklist detail, risk heat maps, and annexes.

If the .docx template files are not present (some hosts, including lawve.ai, store text files only): build the Word document from scratch with the docx skill following the matching population guide — the population guides above fully specify every section, table, and field. The pre-styled .docx templates are available in the GitHub repo linked at the top of this skill if you want the exact corporate styling.

Ask the user which format they prefer.

This skill works standalone, but pairs well with my other EU data-protection skills — install any on its own or combine them:

  • GDPR Breach Sentinel — Art. 33/34 breach response & notification
  • Privacy Notice Generator — Art. 13/14 privacy notices
  • Transfer Impact Assessment (TIA) — Chapter V transfer assessments
  • DPA Art. 28 — controller–processor agreements (AVV)
  • Legitimate Interest — Art. 6(1)(f) LIA / balancing test

© lawve-ai, AGPL-3.0. 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 20 other files (references) in skills/dpia-sentinel-oliver-schmidt-prietz of lawve-ai/awesome-legal-skills.

  • SKILL.md
  • LICENSE.txt
  • README.md
  • evals.json
  • references/dpia-custom-population.md
  • references/edpb-2026-explainer.md
  • references/edpb-2026-population.md
  • references/edpb-2026-template.md
  • references/edpb-criteria.md
  • references/jurisdictions/be-apd.md
  • references/jurisdictions/de-dsk.md
  • references/jurisdictions/fr-cnil.md
  • references/jurisdictions/ie-dpc.md
  • references/jurisdictions/it-garante.md
  • references/jurisdictions/nl-ap.md
  • references/jurisdictions/pl-uodo.md
  • references/jurisdictions/whitelists.md
  • references/risk-catalog.md
  • references/scoring.md
  • … and 2 more

Open the folder on GitHubat commit 045f738

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Works with

Questions about Dpia Sentinel Oliver Schmidt Prietz

What does Dpia Sentinel Oliver Schmidt Prietz do?

GDPR Data Protection Impact Assessment (DPIA) guidance under Article 35 GDPR, EDPB Guidelines WP 248 rev.01, EDPB Opinion 28/2024 (AI), and national SA blacklists/whitelists. Dpia Sentinel Oliver Schmidt Prietz is an agent skill from lawve-ai/awesome-legal-skills.01, EDPB Opinion 28/2024 (AI), and national SA blacklists/whitelists.

When should I use Dpia Sentinel Oliver Schmidt Prietz?

Dpia Sentinel Oliver Schmidt Prietz fits situations like: tasks that involve Privacy and GDPR.

How do I install Dpia Sentinel Oliver Schmidt Prietz in Claude Code?

Run `npx skills add lawve-ai/awesome-legal-skills --skill dpia-sentinel-oliver-schmidt-prietz -a claude-code`. Or copy the skill folder (skills/dpia-sentinel-oliver-schmidt-prietz in lawve-ai/awesome-legal-skills) into .claude/skills/dpia-sentinel-oliver-schmidt-prietz in your project. Claude Code loads it when a task matches its description.

How do I install Dpia Sentinel Oliver Schmidt Prietz in Codex?

Run `npx skills add lawve-ai/awesome-legal-skills --skill dpia-sentinel-oliver-schmidt-prietz -a codex`. Or copy the skill folder (skills/dpia-sentinel-oliver-schmidt-prietz in lawve-ai/awesome-legal-skills) into .agents/skills/dpia-sentinel-oliver-schmidt-prietz in your project. Codex loads it when a task matches its description.

Can I use Dpia Sentinel Oliver Schmidt Prietz 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 lawve-ai/awesome-legal-skills --skill dpia-sentinel-oliver-schmidt-prietz -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dpia-sentinel-oliver-schmidt-prietz, .gemini/skills/dpia-sentinel-oliver-schmidt-prietz, .github/skills/dpia-sentinel-oliver-schmidt-prietz and .opencode/skills/dpia-sentinel-oliver-schmidt-prietz in your project.

What does Dpia Sentinel Oliver Schmidt Prietz need to run?

SKILL.md names no scripts, command-line tools or credentials: Dpia Sentinel Oliver Schmidt Prietz is instructions for the agent only.

Does Dpia Sentinel Oliver Schmidt Prietz 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 Dpia Sentinel Oliver Schmidt Prietz 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. Review the folder before installing.

What licence does Dpia Sentinel Oliver Schmidt Prietz use?

Dpia Sentinel Oliver Schmidt Prietz is published under the AGPL-3.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dpia Sentinel Oliver Schmidt Prietz use?

About 2.6k tokens (SKILL.md is roughly 10k 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 50k tokens, read only when the agent opens those files.

What are the alternatives to Dpia Sentinel Oliver Schmidt Prietz?

Skills that share tags, products or a category with Dpia Sentinel Oliver Schmidt Prietz: Pii Contract Analyze (gregmos/PII-Shield, 150 stars), Gdpr Compliance Checker (goSprinto/compliance-skills, 133 stars), Contract And Proposal Writer (alirezarezvani/claude-skills, 28k stars) and Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dpia Sentinel Oliver Schmidt Prietz?

lawve-ai (a GitHub organization) maintains it in lawve-ai/awesome-legal-skills, which has 847 GitHub stars. The repository holds 154 skills in this directory. The repository was last updated on October 2, 2026.

Source: lawve-ai/awesome-legal-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.