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 kvkk-compliancegit 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/kvkk-compliance)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/kvkk-compliance"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/kvkk-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/thomasmoreai/legal-skills-open/kvkk-compliance"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/kvkk-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 | $0.00033 | $0.02672 |
| Opus 5 | $0.00016 | $0.01336 |
| Sonnet 5 | $0.00007 | $0.00534 |
| Haiku 4.5 | $0.00003 | $0.00267 |
Grade A, and why
kvkk-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 9d 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 — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
KVKK & GDPR Compliance Patterns
Practical patterns for Turkish KVKK (Law No. 6698) and EU GDPR data protection compliance.
KVKK vs GDPR Comparison
| Aspect | KVKK (Turkey) | GDPR (EU) |
|---|---|---|
| Authority | KVKK Board (Kisisel Verileri Koruma Kurumu) | National DPAs + EDPB |
| Consent | Explicit, no pre-ticked boxes | Freely given, specific, informed |
| Breach notification | "As soon as possible" to Board | 72 hours to DPA |
| DPO requirement | VERBiS registration | Mandatory for public bodies + large-scale |
| Right to erasure | Article 7 - withdrawal + deletion | Article 17 - "Right to be forgotten" |
| Data transfer abroad | Board approval or adequate country | Adequacy decision, SCCs, or BCRs |
| Fines | Up to ~2M TL per violation | Up to 20M EUR or 4% global turnover |
| Legal bases | 5 in Article 5 + explicit consent | 6 in Article 6 + explicit consent |
Data Classification
enum DataCategory {
PERSONAL = 'personal', // name, email, phone
SPECIAL = 'special_category', // health, biometrics, religion
ANONYMOUS = 'anonymous', // cannot identify anyone
PSEUDONYMOUS = 'pseudonymous', // identifiable only with additional data
}
interface DataField {
name: string
category: DataCategory
retentionDays: number
requiresExplicitConsent: boolean
encryptAtRest: boolean
}
const USER_DATA_FIELDS: DataField[] = [
{ name: 'email', category: DataCategory.PERSONAL, retentionDays: 730, requiresExplicitConsent: false, encryptAtRest: false },
{ name: 'healthRecords', category: DataCategory.SPECIAL, retentionDays: 365, requiresExplicitConsent: true, encryptAtRest: true },
{ name: 'analyticsId', category: DataCategory.PSEUDONYMOUS, retentionDays: 365, requiresExplicitConsent: false, encryptAtRest: false },
]
Consent Management
// BAD: single "accept all" checkbox - violates both KVKK and GDPR
// <input type="checkbox" /> I accept everything
// GOOD: granular, purpose-specific consent
interface ConsentRecord {
userId: string; purpose: string; granted: boolean
timestamp: Date; ipAddress: string; version: string
}
const CONSENT_PURPOSES = [
{ id: 'essential', label: 'Service operation', required: true },
{ id: 'analytics', label: 'Usage analytics', required: false },
{ id: 'marketing', label: 'Marketing emails', required: false },
{ id: 'third_party', label: 'Third-party sharing', required: false },
] as const
async function recordConsent(userId: string, purposeId: string, granted: boolean, meta: { ip: string; userAgent: string }): Promise<ConsentRecord> {
// Always INSERT, never UPDATE - full audit trail
return db.consentRecords.create({
data: { userId, purpose: purposeId, granted, timestamp: new Date(), ipAddress: meta.ip, version: CURRENT_CONSENT_VERSION },
})
}
async function hasActiveConsent(userId: string, purposeId: string): Promise<boolean> {
const latest = await db.consentRecords.findFirst({
where: { userId, purpose: purposeId },
orderBy: { timestamp: 'desc' },
})
return latest?.granted === true
}
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.
- 9d ago First seen · 277 lines · 33 tokens per session scan A 78d631ddaecf
kvkk-compliance is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 2,672 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 2026-09-03.
Other skills, from other repositories
pia-generator
Generate structured privacy impact assessments so Claude can organize project privacy risks, controls, and decision points into a review-ready report.
audit-scope-checklist
Generate a scoped IT audit program with controls mapped to roles and compliance frameworks. Use this skill for audit planning, control checklist generation, and auditprogram.json creation.
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.