Document Runtime Intelligence sample handoff

README.md

@@ -457,6 +457,12 @@ artifact itself. The same block
 records that the declaration is validated downstream by AIGuard's
 `check-edgeenv-handoff-alignment` command and Lab's Runtime Intelligence bundle
 manifest gate.
+For reviewer navigation, this handoff also names the upstream Orchestrator
+curated samples that explain the path without making them EdgeEnv benchmark
+outputs or deployment inputs: `agent_scheduler_delay_sample.json` can map to
+AIGuard `scheduler_delay_pattern`, and `remote_fallback_recovery_sample.json`
+can map to `remote_execution_recovered_by_fallback` before Lab renders the
+corresponding report markers.
 The alignment block separately declares optional AIGuard evidence types
 `stale_frame_risk` and `edgeenv_orchestrator_stale_drop_summary` for newer
 sustained Orchestrator stale-drop context. They are optional so EdgeEnv can

docs/ko/README.md

@@ -187,6 +187,12 @@ mirror한다:
 `python -m inferedge_aiguard.cli build-runtime-intelligence-optional-stale-drop`.
 이는 EdgeEnv handoff와 AIGuard source fixture를 추적 가능하게 할 뿐,
 EdgeEnv가 `guard_analysis`를 생성한다는 의미가 아니다.
+reviewer navigation을 위해 이 handoff는 upstream Orchestrator curated sample
+이름도 보존한다. `agent_scheduler_delay_sample.json`은 AIGuard
+`scheduler_delay_pattern` 경로로, `remote_fallback_recovery_sample.json`은
+`remote_execution_recovered_by_fallback` 경로로 이어질 수 있다. 이 sample은
+EdgeEnv benchmark output이나 deployment input이 아니라 Lab report marker까지
+이어지는 cross-repo 추적 경로다.
 아래 smoke는 EdgeEnv가 소유한 replay/regression/handoff 경로를 실제 CLI로
 검증한다.
 

docs/portfolio_summary.md

@@ -62,6 +62,11 @@ It also mirrors AIGuard optional-present source traceability through
 `InferEdgeAIGuard/examples/runtime_intelligence/aiguard_runtime_operation_guard_analysis_optional_stale_drop.json`
 and `python -m inferedge_aiguard.cli build-runtime-intelligence-optional-stale-drop`,
 without making EdgeEnv produce the external `guard_analysis`.
+For reviewer navigation, EdgeEnv also names the upstream Orchestrator curated
+sample handoff path: `agent_scheduler_delay_sample.json` -> AIGuard
+`scheduler_delay_pattern`, and `remote_fallback_recovery_sample.json` ->
+`remote_execution_recovered_by_fallback`. These names are cross-repo
+traceability hints, not EdgeEnv benchmark outputs or deployment inputs.
 `scripts/smoke_runtime_intelligence_replay_regression_handoff.sh` exercises the
 EdgeEnv-owned CLI path before source traceability handoff: local benchmark runs
 with runtime telemetry, telemetry history export/inspect, comparability-first

tests/test_runtime_intelligence_lab_handoff.py

@@ -285,6 +285,12 @@ def test_runtime_intelligence_docs_describe_lab_expected_report_markers():
             "aiguard_runtime_operation_guard_analysis_optional_stale_drop.json"
             in doc
         )
+        assert "agent_scheduler_delay_sample.json" in doc
+        assert "remote_fallback_recovery_sample.json" in doc
+        assert "scheduler_delay_pattern" in doc
+        assert "remote_execution_recovered_by_fallback" in doc
+        assert "EdgeEnv benchmark" in doc
+        assert "deployment input" in doc
         for marker in LAB_BUNDLE_EXPECTED_REPORT_MARKERS:
             assert marker in doc