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Get Started Free →Produces structured cyber law compliance memoranda covering GDPR, CCPA, state privacy laws, and sector-specific regulations for US and EU operations. Includes Bluebook citations, jurisdiction comparison tables, penalty exposure, and regulatory trends. Use when advising on digital operations compliance, privacy program design, incident response readiness, or preparing compliance gap assessments.
.claude/skills/thomasmoreai-cyber-law-compliance-summary/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | -4% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 19% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 126% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 95% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 113% | 0% |
Produces a jurisdiction-tailored compliance memorandum translating GDPR, CCPA, and applicable cyber law obligations into actionable business guidance. Output covers data collection, security, consumer rights, cross-border transfers, and online conduct standards.
Gather before drafting:
Use this template for each section:
| Element | Content | |---|---| | Legal Requirement | Statutory/regulatory citation (Bluebook) | | Business Obligation | What the business must do | | Required Documentation | Policies, records, contracts needed | | Penalty / Enforcement | Fines, enforcement trends, recent actions |
Sections to cover:
| # | Topic | Key Authorities | |---|---|---| | 1 | Data Collection & Processing | GDPR Arts. 5–6, 13–14; CCPA §1798.100; state equivalents | | 2 | Security & Breach Notification | GDPR Arts. 32–33; Cal. Civ. Code §1798.82; NIST CSF [VERIFY] | | 3 | Consumer Rights & Transparency | GDPR Arts. 15–22; CCPA §§1798.110–.125; CAN-SPAM; COPPA | | 4 | Cross-Border Data Transfers | GDPR Arts. 44–49; SCCs (2021); EU-U.S. Data Privacy Framework | | 5 | Online Conduct Standards | FTC Act §5; TCPA; state consumer protection statutes |
When multiple jurisdictions apply, produce side-by-side:
| Obligation | GDPR (EU) | CCPA/CPRA (CA) | Other State] | |---|---|---|---| | Consent basis | Lawful basis required | Opt-out (sensitive: opt-in) | … | | Breach notification | 72 hrs to DPA | 72 hrs if 500+ CA residents | … | | Data subject rights | Access, erasure, portability | Access, deletion, opt-out of sale | … |
| Category | Governing Law | Heightened Requirement | |---|---|---| | Health / medical | HIPAA, GDPR Art. 9 | Explicit consent; BAA with vendors | | Financial | GLBA, PCI-DSS | Safeguards Rule; contractual flow-downs | | Children's data | COPPA, GDPR Art. 8 | Verifiable parental consent | | Biometric | IL BIPA, TX/WA statutes | Written consent; retention limits |
[VERIFY]Key changes from the original:
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 33,917 | 28,024 | -17% | 1 | 1 | 0% | 6,241 | 5,967 | -4% | 0 | 0 | — |
case-02 | pass→pass | 33,530 | 34,995 | +4% | 1 | 1 | 0% | 6,235 | 7,146 | +15% | 0 | 0 | — |
case-03 | fail→pass | 36,809 | 33,990 | -8% | 1 | 1 | 0% | 6,239 | 7,448 | +19% | 0 | 0 | — |
case-04 | pass→fail | 29,123 | 27,257 | -6% | 1 | 1 | 0% | 5,067 | 6,271 | +24% | 0 | 0 | — |
case-05 | fail→fail | 15,660 | 28,409 | +81% | 1 | 1 | 0% | 2,519 | 6,635 | +163% | 0 | 0 | — |
case-06 | pass→pass | 17,274 | 30,750 | +78% | 1 | 1 | 0% | 2,849 | 6,558 | +130% | 0 | 0 | — |
case-07 | pass→pass | 21,549 | 31,505 | +46% | 1 | 1 | 0% | 3,184 | 6,711 | +111% | 0 | 0 | — |
case-08 | fail→pass | 23,310 | 30,428 | +31% | 1 | 1 | 0% | 2,990 | 6,759 | +126% | 0 | 0 | — |
case-09 | pass→pass | 21,792 | 27,456 | +26% | 1 | 1 | 0% | 3,738 | 6,635 | +78% | 0 | 0 | — |
case-10 | fail→pass | 18,203 | 27,669 | +52% | 1 | 1 | 0% | 3,368 | 6,578 | +95% | 0 | 0 | — |
case-11 | pass→pass | 15,769 | 27,367 | +74% | 1 | 1 | 0% | 2,894 | 6,166 | +113% | 0 | 0 | — |
case-12 | fail→pass | 16,909 | 30,244 | +79% | 1 | 1 | 0% | 2,993 | 6,364 | +113% | 0 | 0 | — |
case-13 | fail→pass | 19,615 | 33,451 | +71% | 1 | 1 | 0% | 3,438 | 6,997 | +104% | 0 | 0 | — |
case-14 | fail→pass | 18,008 | 32,220 | +79% | 1 | 1 | 0% | 3,223 | 7,380 | +129% | 0 | 0 | — |
case-15 | fail→fail | 21,453 | 28,427 | +33% | 1 | 1 | 0% | 3,486 | 6,484 | +86% | 0 | 0 | — |
case-16 | pass→pass | 24,232 | 28,694 | +18% | 1 | 1 | 0% | 4,187 | 6,455 | +54% | 0 | 0 | — |
case-17 | fail→pass | 18,749 | 26,794 | +43% | 1 | 1 | 0% | 3,392 | 6,169 | +82% | 0 | 0 | — |
case-18 | pass→pass | 22,220 | 33,324 | +50% | 1 | 1 | 0% | 3,932 | 7,379 | +88% | 0 | 0 | — |
case-19 | fail→pass | 16,446 | 29,124 | +77% | 1 | 1 | 0% | 3,026 | 6,713 | +122% | 0 | 0 | — |
case-20 | fail→fail | 27,414 | 30,544 | +11% | 1 | 1 | 0% | 5,619 | 7,382 | +31% | 0 | 0 | — |
case-21 | fail→fail | 18,833 | 29,683 | +58% | 1 | 1 | 0% | 3,216 | 6,388 | +99% | 0 | 0 | — |
case-22 | fail→fail | 13,347 | 14,930 | +12% | 1 | 1 | 0% | 2,544 | 4,072 | +60% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +36 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.