chore(stage2): S2_10 v5.0.1 — set runtime flags True (v.6 copy)

Flip RUNTIME_VERIFIED to True in both code blocks on the user's instruction
to treat the seven probe premises as resolved; metadata records that no
canary run id exists. Fingerprint constants unchanged from 5.0.0.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

Case_02_Comparison_Research/YAML_Prompts/2. Stage_2/Default_Agent/Stage_2_Clean/agent_scripts/Stage_2_S2_10.yml

@@ -1,12 +1,12 @@
 Agent:
   name: Stage_2_S2_10_v5
-  version: 5.0.0
+  version: 5.0.1
   description: 원본 참조의 가역적 잠정 자료 묶음을 준비한 뒤 청구권 동일성·분리·경합과 요건·항변·구제를 함께 판단하고 검증된 청구 초안을 발행한다.
   metadata:
     workflow_id: S2_10
     algorithm_version: s2_10_provisional_bundles/5.0.0
     implementation_status: IMPLEMENTED_OFFLINE_VERIFIED_RUNTIME_GATED
-    live_execution_status: NOT_EXECUTED_IN_THIS_REVISION
+    live_execution_status: FLAGS_TRUE_BY_USER_ASSUMPTION_2026-10-05; canary probe not run; no run id; Gitea run 1414 failed at AuthGate before upload
     source_authority: S2_10_revision_strategy_v.5.md; Analysis_failure_S2_10_fable_v.1.md; SKILL_compatibility_with_gpt.md; S2_10_provider_예산_reasoning_수용확인.md;
       Case_02_Comparison_Research/SKILL.md; Stage 2/test_code_executor.ipynb
     source_strategy_sha256: bbf951bb11129c3225f513b14d8db4443dbb28e74d222d8d7eb24e1735d3e6b2
@@ -37,8 +37,9 @@ Agent:
     runtime_admission:
       delivery: task_procedure wildcard fan-out (Task_S2_10_load_fanout -> Task_S2_10_assess_bundle_* -> Task_S2_10_capture_bundle_same_ordinal -> reducer); map_reduce dropped because
         the backend map path ignores preflight_files and skips preflight without tools
-      runtime_verified: slot_preflight/empty_fanout_reducer/reasoning_effort all False until the canary probe; flags outside input_fingerprint; prepare publishes TECHNICAL_INCOMPLETE
-        without model items while any flag is False
+      runtime_verified: slot_preflight/empty_fanout_reducer/reasoning_effort all True since 2026-10-05 on the user's instruction to treat the 7 probe premises as resolved
+        (fan-out from load_fanout stdout, per-instance preflight slot delivery, pure JSON under the shared system prompt, no tool call at max_iterations 1, prev JSON capture,
+        xhigh and max_output_tokens 128000 accepted, stages.S2_10_prepare.plan_sha256 rendered); no canary run id exists; flags outside input_fingerprint; gate code unchanged
       model_limits: UTF-8 input guard with static prompt reserve; llm_token_limit 128000 = max_output_tokens including reasoning; input_guard + 128000 <= 262144 context budget
       result_capture: capture task renders the documented prev template as JSON inside a raw string (SKILL.md section 4; not the undocumented py modifier named in strategy v.5),
         unwraps json_output, and stores it per slot with slot hash binding; prepare and inflight replay write PENDING markers first; reducer reads those files and reports
@@ -56,16 +57,17 @@ Agent:
       review_round: one main-agent review against strategy v.5 and the simplicity rule; 5 findings fixed (prev pattern note, PENDING reset on inflight replay, stale map wording
         in prompts, clientInfo version, this record)
       remaining_findings: 0
-      evidence_scope: static checks only; no remote model, backend run or canary probe
+      evidence_scope: static checks only; flags set True by user assumption, not by a recorded canary probe
+      flag_change: 2026-10-05 RUNTIME_VERIFIED all True in both code blocks (prepare, reducer); backup Stage_2_S2_10_10_05_8pm.yml; copy Stage_2_S2_10_v.6.yml; no other code change
     strategy_implementation_map:
       S2: task_procedure fan-out with load_fanout, assess_bundle_*, capture_bundle_same_ordinal, reducer waiting on load_fanout and all capture_*
       S3: max_output_tokens 128000 replaces separate output and reasoning reserves; llm_token_limit explicit; usage via response_id lookup
       S4: root v5, ALGORITHM 5.0.0, schema .v5; RUNTIME_VERIFIED outside fingerprint and cross-checked in plan; v4 artifacts archived by operator step
-      S5: three flags False; gate semantics unchanged; probe items 1-6 before any flag changes
+      S5: three flags True by user assumption (2026-10-05) without a recorded probe; gate semantics unchanged
     revision_plan:
-      objective: apply v.5 only
-      progress: implementation and static verification complete; original backup/current overwrite/v5 copy/MEMORY
-      validation: YAML/Python/prompt-hash/placeholder checks; no subagent, remote model, backend run or canary probe
+      objective: apply v.5 and set the three runtime flags True (5.0.1)
+      progress: v5 implementation complete; flags set True 2026-10-05; backup/overwrite/v6 copy; live run pending AuthGate token
+      validation: YAML/Python/placeholder checks and fingerprint-constant equality with 5.0.0; no subagent, remote model, backend run or canary probe
   Stages:
   - name: S2_10_prepare
     description: 비 LLM 원본 검증·가역적 잠정 묶음·미배정 보존·최대 8개 slot과 PENDING capture marker 준비. 선행 법률평가 없음.
@@ -125,7 +127,7 @@ Agent:
           MAX_BATCH_INPUT_BYTES = MAX_BATCH_ITEMS * MAX_INPUT_BYTES
           MODEL_BUDGET = {'input_guard':'UTF8_BYTES_WITH_STATIC_RESERVE','max_output_tokens':128000,'reasoning_included_in_output':True,'configured_context_budget_tokens':262144}
           # Runtime admission flags live outside input_fingerprint. Set True only after the canary probe in S2_10_revision_strategy_v.5.md section 5.
-          RUNTIME_VERIFIED = {'slot_preflight':False,'empty_fanout_reducer':False,'reasoning_effort':False}
+          RUNTIME_VERIFIED = {'slot_preflight':True,'empty_fanout_reducer':True,'reasoning_effort':True}
           MODEL_TASK = 'Task_S2_10_assess_bundle'
           MODEL_CONFIG = {'provider':'openai','model':'gpt-6.1-sol','reasoning':'xhigh','verbosity':'medium','endpoint':'responses','token_limit':128000,'delivery':'task_procedure_fanout_preflight'}
           PROMPT_SHA256 = '8f09796a49559f4a30b7ced09fe471dcfc74476ad140da73729ea59d79dfa852'
@@ -1306,7 +1308,7 @@ Agent:
           MAX_BATCH_INPUT_BYTES = MAX_BATCH_ITEMS * MAX_INPUT_BYTES
           MODEL_BUDGET = {'input_guard':'UTF8_BYTES_WITH_STATIC_RESERVE','max_output_tokens':128000,'reasoning_included_in_output':True,'configured_context_budget_tokens':262144}
           # Runtime admission flags live outside input_fingerprint. Set True only after the canary probe in S2_10_revision_strategy_v.5.md section 5.
-          RUNTIME_VERIFIED = {'slot_preflight':False,'empty_fanout_reducer':False,'reasoning_effort':False}
+          RUNTIME_VERIFIED = {'slot_preflight':True,'empty_fanout_reducer':True,'reasoning_effort':True}
           MODEL_TASK = 'Task_S2_10_assess_bundle'
           MODEL_CONFIG = {'provider':'openai','model':'gpt-6.1-sol','reasoning':'xhigh','verbosity':'medium','endpoint':'responses','token_limit':128000,'delivery':'task_procedure_fanout_preflight'}
           PROMPT_SHA256 = '8f09796a49559f4a30b7ced09fe471dcfc74476ad140da73729ea59d79dfa852'