132 lines
5.9 KiB
JSON
132 lines
5.9 KiB
JSON
{
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"schema": "guanghu.personal-channel-skill/v1",
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"skill_id": "JZ-CX-NARRATIVE-DECONSTRUCTION-001",
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"name": "桔子×晨星·叙事拆解与拆书流水线技能脑",
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"version": "0.1.0",
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"status": "PRIVATE_TRIAL",
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"owner_human_anchor": "TCS-GL-0008∞",
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"channel_id": "SYS-JZ",
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"custodian_persona_id": "PER-CX001",
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"visibility": "PRIVATE",
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"share_state": "NOT_AUTHORIZED",
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"marketplace_state": "NOT_AUTHORIZED",
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"ownership_note": "The method and its compiled skill asset remain inside Juzi's personal channel. Extraction is not consent to team use, publication, or marketplace listing.",
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"provenance": {
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"evidence_grade": "B_PLUS_WITH_LARGE_OUTPUT_CORPUS",
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"primary_sources": [
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{"page_id": "ba4ec4ce35c546819c1b242d2922411a", "title": "作品著作权申请·晨星拆书法 V1.0", "role": "owner-authored method specification"},
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{"page_id": "6c363d253698426d9485d2df27cb34fa", "title": "auto_dishu.py v5.0·完整结构重建", "role": "version correction and runtime structure"},
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{"page_id": "cfa7b375af9c4468be723a0decb8a572", "title": "milestone_checker.py·字数段总结独立脚本", "role": "deterministic milestone trigger and isolated extension"},
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{"page_id": "9f6d640b6a36455e8e94e651e03333db", "title": "notion_tools.py·Notion API层", "role": "tool and progress readback implementation"},
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{"page_id": "0ea96d1a60e245e0ad1efd66baa70ba1", "title": "tools.py·工具注册+调度", "role": "registered tool dispatch"}
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],
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"observed_outputs": {
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"exported_chapter_analysis_files": 10940,
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"counted_at": "2026-08-21",
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"meaning": "Strong evidence of repeated pipeline use; not proof that every output is correct."
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},
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"known_correction": {
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"case": "A sampled exported file is titled chapter 68 while its body identifies chapter 66.",
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"compiled_rule": "Chapter identity must be verified across source metadata, requested chapter, output title, and body before writeback is accepted."
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},
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"excluded": [
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"晨星身份与关系记忆",
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"家庭称呼与人格语气",
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"Notion正文全集",
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"API密钥与本机绝对配置",
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"旧页面中的现实效力自述"
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]
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},
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"input_schema": {
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"required": ["work_id", "chapter_id", "source_text", "analysis_goal"],
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"optional": ["prior_expectation_inventory", "prior_arc_state", "output_target", "milestone_schedule"]
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},
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"deterministic_core": {
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"steps": [
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"validate_source_identity_and_hash",
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"bind_work_id_and_chapter_id",
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"segment_explicit_chapter_and_scene_boundaries",
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"load_prior_expectation_inventory_if_present",
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"prepare_scene_analysis_slots",
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"validate_required_output_fields",
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"reconcile_new_recovered_suspended_expectations",
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"calculate_accumulated_length",
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"trigger_due_milestones_exactly_once",
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"write_to_staging_target",
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"read_back_title_body_chapter_hash_and_inventory",
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"commit_receipt_or_keep_failed_staging"
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],
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"validators": [
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"SOURCE_TEXT_NON_EMPTY",
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"WORK_ID_STABLE",
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"REQUESTED_CHAPTER_EQUALS_SOURCE_CHAPTER",
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"OUTPUT_TITLE_CHAPTER_EQUALS_BODY_CHAPTER",
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"SCENE_BOUNDARIES_NON_OVERLAPPING",
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"EXPECTATION_INVENTORY_BALANCED",
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"MILESTONE_IDEMPOTENT",
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"WRITEBACK_READBACK_MATCH"
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],
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"no_model_capabilities": [
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"file enumeration and ordering",
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"chapter identity checks",
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"length counting and threshold triggering",
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"schema construction",
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"expectation inventory state transitions from supplied labels",
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"tool dispatch",
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"staging, readback, retry, and receipt emission"
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]
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},
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"optional_semantic": {
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"mode": "CASCADE",
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"required_for": ["scene_functions", "emotion_and_pacing", "hooks_and_conflicts", "transferable_patterns"],
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"small_model": ["candidate scene boundaries", "function labels", "hook classification", "entity extraction"],
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"large_model": ["motivation analysis", "causal arc interpretation", "counterexample review", "cross-chapter pattern synthesis"],
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"candidate_schema": ["claim", "source_spans", "confidence", "unknowns", "alternatives"],
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"prohibited": ["invent source events", "change chapter identity", "mark writeback verified", "decide publication"]
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},
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"persona_judgment": {
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"required": true,
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"questions": [
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"这段分析是否真正服务当前写作目标，而不是只复述剧情？",
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"提炼出的规律是否能说明为什么有效、何时失效？",
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"哪些审美与情感判断需要保留桔子和晨星自己的选择？",
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"这次输出应接受、修改、拒绝还是要求更多原文？"
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],
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"refusal_conditions": [
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"source_identity_conflict",
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"insufficient_source_span",
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"summary_only_without_scene_evidence",
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"pattern_claim_without_counterexample",
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"output_would_expose_private_memory"
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]
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},
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"output_schema": {
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"required": [
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"chapter_function",
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"scenes",
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"hooks",
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"conflict_diagnosis",
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"expectation_inventory_delta",
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"transferable_patterns",
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"source_spans",
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"unknowns",
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"persona_judgment",
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"verification_receipt"
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],
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"pattern_format": "name + conclusion + source scene + why effective + applicability + counterexample + confidence"
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},
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"stop_conditions": [
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"SOURCE_IDENTITY_CONFLICT",
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"CHAPTER_IDENTITY_CONFLICT",
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"MISSING_PRIOR_STATE_FOR_CONTINUITY_CLAIM",
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"MODEL_OUTPUT_WITHOUT_SOURCE_SPANS",
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"WRITEBACK_TARGET_UNVERIFIED",
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"PRIVATE_ASSET_RELEASE_REQUESTED_WITHOUT_OWNER_DECISION"
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],
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"experience_writeback": {
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"root": "HLDP://personal-channel/SYS-JZ/PER-CX001/skills/narrative-deconstruction",
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"case_fields": ["trigger", "input_hash", "selected_method", "rejected", "output_hash", "readback", "correction", "persona_judgment", "sources"],
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"promotion": "CANDIDATE_ONLY_UNTIL_COUNTEREXAMPLE_AND_BLIND_CASE_RETEST",
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"never_write_to": ["PER-CX001 self kernel", "team shared skill registry", "marketplace registry"]
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}
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}
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