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https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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a319feb6d7
Governance layer (14 docs): - MASTER_OPERATING_PROMPT.md — operating constitution (five planes, six tracks, policy classes) - docs/ai-operating-model.md — five-plane architecture (Decision/Execution/Trust/Data/Operating) - docs/dealix-six-tracks.md — six strategic tracks (Revenue/Intelligence/Compliance/Expansion/Operations/Trust) - docs/governance/execution-fabric.md — OpenClaw execution plane deep dive - docs/governance/trust-fabric.md — trust plane with contradiction engine + evidence packs - docs/governance/saudi-compliance-and-ai-governance.md — PDPL/ZATCA/SDAIA/NCA live controls - docs/governance/technology-radar-tier1.md — Core/Strong/Pilot/Watch/Hold classification - docs/governance/partnership-os.md — alliance lifecycle management - docs/governance/ma-os.md — M&A corporate development lifecycle - docs/governance/expansion-os.md — geographic and vertical growth - docs/governance/pmi-os.md — post-merger integration framework - docs/governance/executive-board-os.md — executive decision surfaces - docs/execution-matrix-90d-tier1.md — 90-day sprint execution plan - docs/adr/0001-tier1-execution-policy-spikes.md — 8 architectural decisions Backend (3 models, 6 services, 8 API routes): - Contradiction Engine — detect/track system conflicts - Evidence Pack System — tamper-evident audit proof with SHA256 - Saudi Compliance Matrix — live PDPL/ZATCA/SDAIA/NCA controls - Executive Room — unified executive decision surface - Connector Governance — integration health monitoring - Model Routing Dashboard — LLM provider metrics - Forecast Control Center — actual vs forecast across tracks - Approval Center — enhanced approval queue with SLA Frontend (9 components): - Executive Room, Evidence Pack Viewer, Approval Center - Connector Governance Board, Saudi Compliance Dashboard - Actual vs Forecast Dashboard, Risk Heatmap - Policy Violations Board, Partner Pipeline Board Tooling: - scripts/architecture_brief.py — preflight validation (40/40 checks pass) - Updated CLAUDE.md and AGENTS.md with governance references https://claude.ai/code/session_01W1rJthWDkasijTdXCfxVHs
49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
"""Compliance Control — live Saudi/GCC regulatory controls for compliance matrix."""
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from __future__ import annotations
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import enum
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from sqlalchemy import Column, DateTime, Enum, String, Text
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from sqlalchemy.dialects.postgresql import JSONB
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from app.models.base import TenantModel
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class ComplianceCategory(str, enum.Enum):
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PDPL = "pdpl"
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ZATCA = "zatca"
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SDAIA = "sdaia"
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NCA = "nca"
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SECTOR_SPECIFIC = "sector_specific"
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class ComplianceStatus(str, enum.Enum):
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COMPLIANT = "compliant"
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NON_COMPLIANT = "non_compliant"
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PARTIAL = "partial"
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NOT_APPLICABLE = "not_applicable"
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class RiskLevel(str, enum.Enum):
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CRITICAL = "critical"
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HIGH = "high"
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MEDIUM = "medium"
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LOW = "low"
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class ComplianceControl(TenantModel):
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__tablename__ = "compliance_controls"
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control_id = Column(String(20), nullable=False, index=True) # e.g. PDPL-C01
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control_name = Column(String(255), nullable=False)
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control_name_ar = Column(String(255), nullable=True)
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category = Column(Enum(ComplianceCategory), nullable=False)
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status = Column(Enum(ComplianceStatus), nullable=False, default=ComplianceStatus.PARTIAL)
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evidence_source = Column(String(255), nullable=True) # which service provides the live check
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last_checked_at = Column(DateTime(timezone=True), nullable=True)
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last_result = Column(JSONB, default=dict)
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remediation_plan = Column(Text, nullable=True)
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owner = Column(String(100), nullable=True)
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risk_level = Column(Enum(RiskLevel), nullable=False, default=RiskLevel.MEDIUM)
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