feat(telemetry): Record chunk latency, result count, and source count in AdvisoryAiTelemetry
fix(endpoint): Include telemetry source count in advisory chunks endpoint response
test(metrics): Enhance WebServiceEndpointsTests to validate new metrics for chunk latency, results, and sources
refactor(tests): Update test utilities for Deno language analyzer tests
chore(tests): Add performance tests for AdvisoryGuardrail with scenarios and blocked phrases
docs: Archive Sprint 137 design document for scanner and surface enhancements
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.
