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Core engine (dependency_engine.py): - 5 dependency types: prerequisite, supersedes, compensating_control, conditional_requirement, scope_exclusion - Generic condition evaluator (JSONB rules with AND/OR/NOT/field ops) - Priority-based conflict resolution - Cycle detection (DFS) + topological sort - Full evaluation with MCP-compatible dependency_resolution trace - 39 tests all passing (incl. GHV scenario from user requirements) Automatic generator (dependency_generator.py): - Ontology-based: same normalized_object + phase sequence -> prerequisite - Pattern-based: define->implement, implement->monitor, etc. - Domain packs: YAML rules for GDPR, AI Act, CRA, Security, Labor Contracts - 14 tests all passing API routes (dependency_routes.py): - CRUD for dependencies - POST /evaluate with dependency resolution - POST /generate (auto-generation with dry_run) - POST /validate (cycle detection) - GET /graph (nodes + edges for visualization) Prompt enhancement (decomposition_pass.py): - Added dependency_hints + lifecycle_phase_order to Pass 0b prompt - Stored in generation_metadata for post-processing DB migration: control_dependencies + control_evaluation_results tables 126 tests total, all passing. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>