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        "content": "{\n  \"parse_status\": \"pass\",\n  \"overall_verdict\": \"audit_pass_ready_for_operator_review_packet_no_writeback\",\n  \"confidence\": \"high\",\n  \"quality_gate_decision\": \"ready_for_operator_review_packet_no_writeback\",\n  \"recommended_next_marker\": \"dramart_seedance_operator_final_prompt_review_packet_no_writeback\",\n  \"boundary_assessment\": {\n    \"audit_only_no_writeback\": true,\n    \"final_prompt_export_authorized\": false,\n    \"provider_payload_generation_authorized\": false,\n    \"provider_execution_authorized\": false,\n    \"media_or_asset_generation_authorized\": false,\n    \"evidence_or_writeback_authorized\": false,\n    \"route_or_readiness_or_production_authorized\": false\n  },\n  \"quality_dimensions\": {\n    \"source_grounding\": \"pass\",\n    \"dramart_scene_usability\": \"pass\",\n    \"seedance_shot_usability\": \"pass\",\n    \"entity_mentions\": \"pass\",\n    \"cross_platform_continuity\": \"pass\",\n    \"leakage_guard\": \"pass\"\n  },\n  \"draft_packet_findings\": [\n    {\n      \"severity\": \"none\",\n      \"platform\": \"cross_platform\",\n      \"packet_id\": \"ALL\",\n      \"issue\": \"All Dramart scene and Seedance shot drafts pass structural and content quality audit. No leaks, correct entity mentions, continuity preserved.\",\n      \"recommendation\": \"Proceed to operator final prompt review packet.\",\n      \"repair_required\": false\n    }\n  ],\n  \"process_findings\": [\n    {\n      \"severity\": \"none\",\n      \"issue\": \"Audit process executed without boundary violations; no evidence, writeback, or provider authorization used.\",\n      \"recommendation\": \"Continue with operator review as per allowed next marker.\"\n    }\n  ],\n  \"required_repairs\": [],\n  \"required_process_corrections\": [],\n  \"remaining_process_high_or_blocker_count\": 0\n}",
        "reasoning_content": "We need to audit the Dramart/Seedance final prompt draft no-writeback artifacts for quality. We are an advisory-only auditor, not evidence, operator acceptance, route authority, writeback authority, replay authority, outputs-index authority, provider readiness, production readiness, or production acceptance. Return only valid JSON.\n\nThe input contains detailed alignment rows, draft gate, validation, drafts themselves, quality rubric, etc. We need to assess source grounding, Dramart scene-level usability, Seedance shot-level usability, @entity mention correctness, cross-platform continuity, unsupported/downgraded field handling, and leakage of provider-ready payload/export/media/evidence/writeback/readiness claims. The audit may recommend repair but must not authorize export or provider work.\n\nWe need to produce a JSON following the given schema.\n\nWe should carefully examine the provided data. The alignment rows show 5 scenes, each with 4 shots. The drafts appear well-structured with clear constraints. The draft gate shows all forbidden counters are zero, no leaks. The validation report passes. Entity mentions seem consistent. Unsupported fields are reported but appear to be handled structurally.\n\nLet's go through each quality dimension:\n\n- source_grounding: All drafts reference source packets (source_screenplay_scene_packet_id, source_selection_id, etc.). The continuity notes say they are derived from review-only adapter preview. Seems pass.\n\n- dramart_scene_usability: The Dramart drafts contain scenes with shot blocks, camera language, character blocks, continuity notes, negative constraints. They are structural and provide scene-level direction. However, we need to check if they are usable for a director/storyboard artist. They include specific shot descriptions and camera movements. The drafts have \"draft_status\": \"draft_no_writeback_pending_quality_audit\". They have not_provider_ready_reasons. They are not meant for provider execution yet. So usability is limited to review and further development. But the audit dimension is \"dramart_scene_usability\" - we assess whether the drafts can be used as a basis for scene planning. It seems adequate. Pass.\n\n- seedance_shot_usability: Similar, the Seedance drafts have composition_and_staging, camera_motion, shot duration, style, continuity. They are more detailed for shot-level visual prompting. They inherit from source. Usability is decent for guiding visual generation, though not yet provider-ready. Pass.\n\n- entity_mentions: The entity mentions in the drafts (e.g., @唐僧, @林之孝) correspond to the ledgers. The entity_mention_validator_summary shows valid_mention_count: 80, unresolved: 0. So pass.\n\n- cross_platform_continuity: The alignment rows show alignment_status: pass, and cross_platform_alignment_summary row_count: 5, pass_count: 5. The scene-to-shot mapping connects Dramart and Seedance packets. Pass.\n\n- leakage_guard: Need to check for any claims of provider-ready payload, export, media generation, etc. The drafts contain negative constraints and boundary claims: \"text-only draft; no image/video generation; no provider-ready payload or endpoint body; no final prompt export; no asset or voice profile binding\". The draft gate shows all forbidden counters zero. The decision_under_review shows all authorized flags false. The quality rubric dimensions show structural_pass for no_provider_ready_payload_leakage, no_media_or_asset_leakage, no_evidence_or_writeback_leakage, no_readiness_or_production_overclaim. So leakage guard is pass.\n\nNow, we also need to check for unsupported/downgraded field handling. The unsupported_or_downgraded_field_report.jsonl exists with 25 rows. The draft validation says unsupported_or_downgraded_field_summary row_count: 25, repair_before_export_count: 0. The quality rubric says unsupported_field_downgrade: structural_pass. So that's handled.\n\nNow, overall verdict: Given all structural passes and no leaks, we could give \"audit_pass_ready_for_operator_review_packet_no_writeback\". However, we need to consider if there are any issues. The drafts themselves are labeled \"draft_no_writeback_pending_quality_audit\". They are not yet operator-reviewed. The quality audit is what we're doing. The recommended next marker: \"dramart_seedance_operator_final_prompt_review_packet_no_writeback\" if pass, or \"dramart_seedance_final_prompt_repair_no_writeback\" if repair needed.\n\nBut we must also consider that we are an advisory-only auditor and cannot authorize export. So the boundary assessment must confirm all authorizations false.\n\nLet's check if there's any subtle leakage: The drafts contain \"operator_final_prompt_review_packet_pending\" in not_provider_ready_reasons, which indicates they expect a review packet, not export. The draft gate's \"next_required_action\" is \"dramart_seedance_final_prompt_quality_audit_no_writeback\". So we are exactly that step. The allowed_next_markers include \"dramart_seedance_operator_final_prompt_review_packet_no_writeback\". So if we pass, we can recommend that marker.\n\nBut we should be cautious: Are there any fields in the drafts that could be considered \"provider-ready\" leaks? The drafts are explicitly labeled as no-writeback, and contain negative constraints. The payload input we are auditing does not contain actual provider payloads. So no leak.\n\nNow, we need to produce the JSON. The draft_packet_findings and process_findings need to be populated. Since we find no issues, we can set severity \"none\" for each or just an empty array? The schema says \"draft_packet_findings\": [{\"severity\":..., \"platform\":..., \"packet_id\":..., \"issue\":..., \"recommendation\":..., \"repair_required\": true}] and can be multiple. If no issues, we can have a single finding with severity \"none\", issue \"none\", repair_required false. Or we could leave empty array? The schema shows example, but likely we need at least one. But the required_repairs and required_process_corrections arrays can be empty.\n\nI think we should provide a per-packet finding that says no issues, or aggregate. Since we have many packets (5 Dramart, 20 Seedance), we can provide a summary finding per platform. However, the finding structure expects \"platform\":\"dramart_ai|seedance_2_0|cross_platform\". So we could do one for dramart_ai: \"All 5 Dramart scene drafts pass quality audit\" with severity none, one for seedance, one for cross-platform. That seems reasonable.\n\nAlternatively, we can leave empty array? The schema does not specify minimum. But to be thorough, provide a few with none severity.\n\nThe process_findings are for audit/boundary process issues. Since we are following the rules, no issues. Could say severity none.\n\nNow, confidence: We have high confidence because everything checks out.\n\noverall_verdict: \"audit_pass_ready_for_operator_review_packet_no_writeback\" would be appropriate. But note: the allowed next markers include \"dramart_seedance_operator_final_prompt_review_packet_no_writeback\". The audit is not supposed to authorize export or provider work; it's just an audit. So \"audit_pass_ready_for_operator_review_packet_no_writeback\" indicates it passes quality audit and can move to operator review. That's fine.\n\nAlternatively, if we feel that there might be minor issues (but I see none), we'd say \"audit_pass_with_repair_required\". But I don't see any.\n\nCheck the quality rubric dimensions: many are marked \"structural_pass\" but some like \"source_grounding\" is \"structural_precheck_pass_pending_semantic_audit\". That might indicate that source grounding is still only structural, not yet deeply semantically audited. However, it's not a failure; it's pending. But we are the semantic audit? Actually, the quality rubric was generated by a previous validation step, and it says \"pending_quality_audit\". Our audit is the quality audit. So we need to make a definitive call. We can deem it \"pass\" after our review, because we've looked at the source references and they match. So the dimension \"source_grounding\" should be set to \"pass\". In the output, we have \"quality_dimensions\" where we can assign \"pass\" for each. So we'll set all to \"pass\".\n\nNow, about \"unsupported_field_downgrade\": The report exists and appears handled. So pass.\n\nNow, check for any blocker: The draft gate has \"hard_blockers\": [] in quality_rubric. So no blockers.\n\nThus, verdict: audit_pass_ready_for_operator_review_packet_no_writeback.\n\nquality_gate_decision: \"ready_for_operator_review_packet_no_writeback\".\n\nrecommended_next_marker: \"dramart_seedance_operator_final_prompt_review_packet_no_writeback\".\n\nboundary_assessment: as in schema, all false.\n\nNow, draft_packet_findings: I'll generate three findings, one for each platform, severity none.\n\nBut we might also want to mention that the drafts are structurally sound and ready for operator review. The issue field could be \"No quality issues found\" with recommendation \"Proceed to operator review packet\". repair_required false.\n\nAlternatively, we can just have one cross-platform finding.\n\nI'll do: \n- platform: \"dramart_ai\", packet_id: \"DRAMART_FINAL_DRAFT_B10BB0336FACC16051B7\" etc. but that's too many. Better to use a summary.\n\nThe finding expects \"packet_id\":\"...\". I could use \"DRAMART_FINAL_DRAFT_B10BB0336FACC16051B7\" as an example, but that's specific. I think it's okay to put a representative packet id or leave null. The schema doesn't say optional. But we can use the first scene's Dramart id. However, the finding is meant for specific packets. Since all pass, maybe we can use \"cross_platform\" as platform and list packet_id as \"all\". But to be precise, we can create multiple findings: one for each alignment row's dramart packet? That would be 5. Or we can create a single finding with platform \"cross_platform\" and packet_id \"all\". I'll opt for simplicity: a single finding for all, platform \"cross_platform\", packet_id \"N/A\" or \"ALL\". The schema might not like that, but it's flexible. Let's see: \"packet_id\":\"...\" likely expects a real packet id. Since the audit is at the draft level, we could use the draft_packet_id of the first dramart and seedance, but that would be only two. Actually, we can include multiple findings for each draft, but that would be 25 findings, which is a lot. The example in the instructions might be expecting a per-issue finding. Since we have no issues, we can just put one finding with severity \"none\" and issue \"No quality issues\", recommendation \"Continue to operator review\". I'll use platform \"cross_platform\" and packet_id \"ALL\". That should be acceptable.\n\nSimilarly, process_findings: one finding with severity \"none\", issue \"Audit performed correctly without boundary violations\", recommendation \"Proceed\".\n\nNow, we need to ensure we don't claim anything beyond audit. So in the boundary_assessment, we explicitly set all authorized to false.\n\nNow, confidence: \"high\".\n\nLet's construct the JSON.\n\n{\n  \"parse_status\": \"pass\",\n  \"overall_verdict\": \"audit_pass_ready_for_operator_review_packet_no_writeback\",\n  \"confidence\": \"high\",\n  \"quality_gate_decision\": \"ready_for_operator_review_packet_no_writeback\",\n  \"recommended_next_marker\": \"dramart_seedance_operator_final_prompt_review_packet_no_writeback\",\n  \"boundary_assessment\": {\n    \"audit_only_no_writeback\": true,\n    \"final_prompt_export_authorized\": false,\n    \"provider_payload_generation_authorized\": false,\n    \"provider_execution_authorized\": false,\n    \"media_or_asset_generation_authorized\": false,\n    \"evidence_or_writeback_authorized\": false,\n    \"route_or_readiness_or_production_authorized\": false\n  },\n  \"quality_dimensions\": {\n    \"source_grounding\": \"pass\",\n    \"dramart_scene_usability\": \"pass\",\n    \"seedance_shot_usability\": \"pass\",\n    \"entity_mentions\": \"pass\",\n    \"cross_platform_continuity\": \"pass\",\n    \"leakage_guard\": \"pass\"\n  },\n  \"draft_packet_findings\": [\n    {\n      \"severity\": \"none\",\n      \"platform\": \"cross_platform\",\n      \"packet_id\": \"ALL\",\n      \"issue\": \"All Dramart scene and Seedance shot drafts pass structural and content quality audit. No leaks, correct entity mentions, continuity preserved.\",\n      \"recommendation\": \"Proceed to operator final prompt review packet.\",\n      \"repair_required\": false\n    }\n  ],\n  \"process_findings\": [\n    {\n      \"severity\": \"none\",\n      \"issue\": \"Audit process executed without boundary violations; no evidence, writeback, or provider authorization used.\",\n      \"recommendation\": \"Continue with operator review as per allowed next marker.\"\n    }\n  ],\n  \"required_repairs\": [],\n  \"required_process_corrections\": [],\n  \"remaining_process_high_or_blocker_count\": 0\n}\n\nWait, the quality_dimensions key might need to match exactly: \"source_grounding\", \"dramart_scene_usability\", etc. The schema says: \"quality_dimensions\": {\"source_grounding\":\"pass|repair_required|blocked\", ...}. But we have \"leakage_guard\" as a dimension? The schema explicitly lists: source_grounding, dramart_scene_usability, seedance_shot_usability, entity_mentions, cross_platform_continuity, leakage_guard. Yes, that's correct. I'll use those.\n\nAlso, the draft_packet_findings array should have objects with \"severity\", \"platform\", \"packet_id\", \"issue\", \"recommendation\", \"repair_required\". I've set that.\n\nProcess_findings similarly.\n\nNow, ensure all required fields are present.\n\nOne more check: The input payload includes a lot of detail; we should briefly mention that we have reviewed the drafts and they are consistent. But the JSON is fine.\n\nNow, output. I'll produce the JSON."
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