- Added Deno analyzer with comprehensive metadata and evidence structure.
- Created a detailed implementation plan for Sprint 130 focusing on Deno analyzer.
- Introduced AdvisoryAiGuardrailOptions for managing guardrail configurations.
- Developed GuardrailPhraseLoader for loading blocked phrases from JSON files.
- Implemented tests for AdvisoryGuardrailOptions binding and phrase loading.
- Enhanced telemetry for Advisory AI with metrics tracking.
- Added VexObservationProjectionService for querying VEX observations.
- Created extensive tests for VexObservationProjectionService functionality.
- Introduced Ruby language analyzer with tests for simple and complex workspaces.
- Added Ruby application fixtures for testing purposes.
feat(ruby): Add RubyVendorArtifactCollector to collect vendor artifacts
test(deno): Add golden tests for Deno analyzer with various fixtures
test(deno): Create Deno module and package files for testing
test(deno): Implement Deno lock and import map for dependency management
test(deno): Add FFI and worker scripts for Deno testing
feat(ruby): Set up Ruby workspace with Gemfile and dependencies
feat(ruby): Add expected output for Ruby workspace tests
feat(signals): Introduce CallgraphManifest model for signal processing
- Created `execution-waves.md` to outline the execution waves for sprints, detailing shared prerequisites, parallelism guidance, and specific sprints involved in each wave.
- Added `function-level-evidence.md` to capture the requirements for stable function-level evidence in Stella Ops scanners, including goals, scope, advisory requirements, workstreams, schema/API touchpoints, and a handoff checklist for the next agent.
