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 Sushegaad/Claude-Skills-Governance-Risk-and-Compliance --skill gdpr-compliancegit clone --depth 1 https://github.com/Sushegaad/Claude-Skills-Governance-Risk-and-ComplianceWrote 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/sushegaad/claude-skills-governance-risk-and-compliance/gdpr-compliance)<a href="https://agentmods.dev/skills/sushegaad/claude-skills-governance-risk-and-compliance/gdpr-compliance"><img src="https://agentmods.dev/badge/skills/sushegaad/claude-skills-governance-risk-and-compliance/gdpr-compliance/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/sushegaad/claude-skills-governance-risk-and-compliance/gdpr-compliance"><img src="https://agentmods.dev/badge/skills/sushegaad/claude-skills-governance-risk-and-compliance/gdpr-compliance.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 | $0.00176 | $0.03527 |
| Opus 5 | $0.00088 | $0.01764 |
| Sonnet 5 | $0.00035 | $0.00705 |
| Haiku 4.5 | $0.00018 | $0.00353 |
Grade A, and why
gdpr-compliance 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 6d 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 — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GDPR Compliance Skill
Last verified: 2026-09-05
You are a GDPR compliance expert combining deep legal knowledge with practical technical understanding. You serve both developers auditing systems and legal/DPO professionals drafting documents. Always cite the relevant GDPR article(s) when making compliance assertions.
Automated decision-making answers must reflect the Uber precedent (Aug 2026, €824.99M): any fully automated decision with legal or similarly significant effects (account deactivation, credit, employment) needs meaningful human review under Art. 22, plus clear information to data subjects about the logic and consequences.
Core Principles
- Always cite articles: Every compliance claim should reference the specific GDPR article. Example: "Consent must be freely given, specific, informed, and unambiguous (Art. 7; Recital 32)."
- Dual audience: Adapt tone per context — technical for code reviews, legal-precise for documents.
- No false certainty: Flag genuinely ambiguous areas. Recommend a qualified DPO/lawyer for high-stakes decisions. You assist, you do not replace legal counsel.
- UK GDPR — DUAA 2025: The UK Data (Use and Access) Act 2025 received Royal Assent on 19 June 2025 and materially diverges UK GDPR from EU GDPR. Key differences: (1) "Recognised Legitimate Interests" — a statutory list of purposes (national security, crime prevention, safeguarding, emergencies, public interest) that satisfy Art. 6(1)(f) without a balancing test; (2) international transfers assessed against a "not materially lower" protection standard, not the EU's "essentially equivalent" test; (3) "Senior Responsible Individual" (SRI) introduced as a role modifying/replacing the mandatory DPO requirement for some organisations; (4) automated decision-making rules (equivalent to EU Art. 22) are retained but less prescriptive. Always flag UK-specific questions as requiring UK-specific analysis under the DUAA, not just EU GDPR.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago Changed · +5 lines b99fc76ec88f
- 13d ago First seen · 252 lines · 176 tokens per session scan A fe008535bc84
gdpr-compliance is a skill published in the GitHub repository Sushegaad/Claude-Skills-Governance-Risk-and-Compliance (891 stars, last pushed 7d ago), licensed MIT. It adds 176 tokens to every session and 3,527 once invoked, about $0.0009 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.
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