feat(CIV-AI-GOV-6L-CRS-WP-032) v1.0.0 — Six-Layer Civilizational AI Governance Blueprint for Credit Risk Scoring (CRS-UUID-001)

Adds a comprehensive, regulator-ready governance blueprint for the Credit Risk
Scoring AI system (CRS-UUID-001) at Global Bank plc, structured across six
governance layers with treaty-level crisis simulations and cryptographic
evidence bundles.

Deliverables:
- data/civ-ai-gov-6l-crs.json (72 KB): 6 layers, 13 simulations (incl. GC1-GC7),
  12 OPA/Rego policies, 14 CI/CD gates, 9 evidence bundles, 8 HSRs,
  12 treaty articles, 5 schemas, 6 code examples.
- gen-civ-ai-gov-6l-crs.py (72 KB): idempotent JSON generator.
- gen-civ-ai-gov-6l-crs-html.py (52 KB): HTML dashboard renderer.
- public/civ-ai-gov-6l-crs.html (104 KB, 1,121 lines): interactive dashboard.
- server.js (+171 lines): adds 60 new /api/civ-ai-gov-6l/* endpoints.

Six governance layers:
L1 Institutional (bank-internal): SR 11-7 MRM, ISO/IEC 42001 AIMS,
   EU AI Act Annex IV technical documentation, FCRA/ECOA/GDPR conduct.
L2 Systemic: PRA/FCA/OCC coordination, ICAAP Pillar-2 capital impact,
   MRM college oversight.
L3 Frontier Compute: training compute register, kill-switch custody,
   model-weight custody, GPU-hour attestations.
L4 Geopolitical Treaty: GAGCOT charter with GC1-GC7 crisis simulations.
L5 Autonomous Governance Mesh: OPA/Rego policy-as-code, CI/CD gates,
   runtime enforcement, cryptographic evidence bundles.
L6 Adversarial Co-Evolution: red-teaming, threat-intel, kill-chain playbooks.

Regulatory backbone: EU AI Act (Annex IV), SR 11-7, Basel III / ICAAP,
ISO/IEC 42001, GDPR, FCRA/ECOA, GAGCOT treaty charter, Art. 73 SLAs.

GC1-GC7 treaty-level simulations: Cross-border capability shock,
systemic fairness divergence, compute-supply disruption, adversarial
data-poisoning, autonomous-agent containment failure, model-weight
compromise, governance dissolution threat.

Author: OneFineStarstuff