Enterprise Features:
- Hosted mode with remote sync for team pattern aggregation
- Community sharing with privacy-preserving anonymization
- LLM-based semantic claim extraction with Gemini integration
- Pattern learning with promotion to declarative extractors
- High-entropy secrets extractor with configurable thresholds
- Auth bypass and insecure cookies extractors
Module Refactoring:
- Split oversized files to comply with 500-line limit
- Config split: types/core.rs, types/extractors.rs, types/hosted.rs, etc.
- Handlers split: scan.rs, policy.rs, report.rs modules
- Extractors split: declarative/, high_entropy_secrets/, insecure_cookies/
- Learning split: store modules with metrics and persistence
SDK & Ontology:
- stemedb-ontology SDK with fluent builders and StemeDB client
- Pharma domain extractors for FDA Orange Book data
- Consumer health UAT test infrastructure
Code Quality:
- Fixed clippy warnings (needless_borrows_for_generic_args)
- Added KVStore trait imports where needed
- Fixed utoipa path re-exports for OpenAPI docs
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Major additions:
- Staged scanning modes (working tree, staged, committed) with git integration
- Drift detection for baseline vs current state comparisons
- Hosted API handlers for policy CRUD operations via StemeDB API
- stemedb-ontology crate with domain definitions and medical extractors
- Consumer health vertical UAT scenarios (GLP-1, gastroparesis, etc.)
- Aphoria development skill documentation
Code organization:
- Split large files into focused modules to stay under 500-line limit
- Extracted config tests, episteme helpers/drift/aliases, API helpers
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
