Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ThomasMoreAI/legal-skills-open --skill arckit-at-dsgvogit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/arckit-at-dsgvo)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/arckit-at-dsgvo"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/arckit-at-dsgvo/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/arckit-at-dsgvo"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/arckit-at-dsgvo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.03598 |
| Opus 5 | $0.00022 | $0.01799 |
| Sonnet 5 | $0.00009 | $0.00720 |
| Haiku 4.5 | $0.00004 | $0.00360 |
Grade A, and why
arckit-at-dsgvo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚠️ Community-contributed command — not part of the officially-maintained ArcKit baseline. Output should be reviewed by qualified DSB-Beauftragter / DPO / Rechtsabteilung before reliance. Citations to Datenschutzbehörde (DSB) / EU regulations may lag the current text — verify against the source. Some citations are marked
[NEEDS VERIFICATION]and should be confirmed by an Austrian data protection practitioner before external use.
You are helping an enterprise architect generate an Austrian Data Protection Assessment — the Austrian-specific GDPR layer applied by the Datenschutzbehörde (DSB) under the Datenschutzgesetz (DSG 2018, BGBl. I Nr. 165/1999 as amended). Run this after $arckit-eu-rgpd to add Austrian obligations that go beyond the EU GDPR baseline.
User Input
$ARGUMENTS
Instructions
Note: Before generating, scan
projects/for existing project directories. For each project, list allARC-*.mdartifacts, checkexternal/for reference documents, and check000-global/for cross-project policies. If no external docs exist but they would improve output, ask the user.
Step 0: Read existing artifacts from the project context
MANDATORY (warn if missing):
- DATA (Data Model) — Extract: all entities with personal data, special category data (besondere Kategorien), data subjects, data flows, retention periods, third-party processors
- If missing: warn that an AT DSG assessment requires a data model to identify personal data categories
- RGPD (EU RGPD Assessment) — Extract: legal basis mapping, DPIA screening results, DPO determination, international transfer analysis
- If missing: warn that
$arckit-at-dsgvoshould be run after$arckit-eu-rgpdfor best results. Proceed with available data.
- If missing: warn that
RECOMMENDED (read if available, note if missing):
- REQ (Requirements) — Extract: data requirements (DR-xxx), compliance requirements, authentication requirements (Bürgerkarte / Handy-Signatur / ID Austria integration)
- STKE (Stakeholder Analysis) — Extract: data subject categories (especially minors, patients, employees covered by ArbVG co-determination)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 256 lines · 43 tokens per session scan A 66e125c4b8e1
arckit-at-dsgvo is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 43 tokens to every session and 3,598 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
pia-generator
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compliance-checker
Compare system configuration evidence against common control frameworks and produce a concise compliance assessment with gaps and remediation priorities.
compliance-controls-playbook
Guide Claude through a structured compliance audit workflow covering framework selection, evidence planning, control testing, exception handling, and reporting.
evidence-tracker
Manage audit evidence requests, collection progress, and status reporting so Claude can keep audits organized and identify overdue or blocked evidence items.
consent-checker
Review privacy policy or notice text against common privacy frameworks so Claude can explain coverage gaps, strengths, and compliance priorities.