feat(harness,rag): dual LLM audit fields, run conclusion, and hybrid quality

Persist provider reasoning and assistant text separately on agent_reasoning_audit
(DeepSeekAssistantMessage path), extract diagnosis_run.conclusion, enrich RAG
tool audit (step_id/query/qualityScore), gate empty mysql tools, drop devtools,
and align MVP docs after live E2E verification.

devflow/projects/2026-07-28-rag-eval-hybrid-baseline/acceptance.md

@@ -0,0 +1,39 @@
+# Acceptance: rag-eval-hybrid-baseline
+
+## Tasks
+
+All tasks in OpenSpec `tasks.md` checked, including apply-discovered 6.x quality-gate fix.
+
+## 静态验证
+
+- Snapshot generator path: no required `retrieval.vector-store.mode`.
+- README documents hybrid generation and offline/live split.
+
+## 脚本验证
+
+```text
+.\scripts\prepare_rag_eval_seed.ps1
+.\scripts\generate_rag_lookup_snapshots.ps1 -SearchMode hybrid -SkipEval
+python scripts\eval_rag_retrieval.py --json-report eval/rag-retrieval/reports/baseline.json --markdown-report eval/rag-retrieval/reports/baseline.md
+# Result: Evaluated 7 cases: passRate=1.0, recall@5=1.0, failed=0
+
+mvn -Dtest=RetrievalScoreNormalizerTest,KnowledgeEvidencePostProcessorTest,LookupKnowledgeToolTest,VectorSearchServiceTest,VectorKnowledgeSearchAdapterHybridTest test
+# exit 0
+```
+
+Fixture sample meta: `searchMode=hybrid`, `kbScope=rag-eval`.  
+Fallback case: `UNFILTERED_VECTOR_RETRY` + `filtered_vector_low_quality`.
+
+## 浏览器/人工
+
+- 未做 UI 验证。
+
+## 未验证 / 后续
+
+- Dense vs hybrid dual-directory comparison report (knife-2).
+- CI wiring of offline eval as required gate (optional process).
+- Long-term calibration of hybrid PRECISE distribution under denseDistance quality.
+
+## Specs
+
+Main spec synced: `openspec/specs/rag-eval-offline-baseline/spec.md`.