**Git Commit Tracking**
- Automatically capture git commit hash when claims/observations are ingested
- Store in assertion metadata for temporal context and audit trails
- Graceful degradation in non-git environments
- Solves double-commit problem by capturing hash at ingestion time
**Implementation**
- walker/git.rs: get_current_commit_hash() utility function
- bridge.rs: Accept optional git_commit parameter in all conversion functions
- episteme/local: Store project_root, capture git hash during ingestion
- 5 new tests for git hash tracking + metadata validation
- All 1162 aphoria tests passing
**Documentation Overhaul**
- README: Added Observations vs Claims distinction, git tracking, dashboard
- CLI Reference: New sections for git integration and ignore/exclusion system
- Comprehensive ignore documentation: .aphoriaignore, inline comments, 4 methods
- Enhanced verification engine docs with matching capabilities
- DOCUMENTATION_UPDATES.md: Complete audit summary
**Dashboard Separation**
- Moved Aphoria-specific UI from stemedb-dashboard to aphoria-dashboard
- Clean separation of concerns: StemeDB for core, Aphoria for security
- Added dashboard documentation and setup guides
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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>
