75 lines
2.8 KiB
YAML
75 lines
2.8 KiB
YAML
target_type: generation_context
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中文名: 生成上下文
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domain: ai_context
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scope: agent
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本体分组: 配套
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状态: 启用
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判据: AI 上下文组装与输出合同的结构模具,运行时对象、用户不可见
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实例落点: 以 read-context 的 JSON 上下文与 Markdown manifest 回显落 works/*/评审/,不建知识卡
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严格合同:
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版本:
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WriterContext: writer-context-v1
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WriterOutput: writer-output-v1
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RetrievalPlan: writer-retrieval-plan-v1
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RetrievalManifest: writer-retrieval-manifest-v1
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规范化: UTF-8、Unicode NFC、LF 换行、对象键排序、无额外空白
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身份规则: runId、generatedAt、timestamp、executionNode 不参与检索与上下文身份
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未知字段: 拒绝
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WriterContext必填字段:
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- schemaVersion
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- runId
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- attempt
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- mode
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- purpose
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- qualityPolicyVersion
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- workId
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- targetChapter
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- asOf
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- contextSnapshot
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- sourceVersion
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- authorizationSnapshot
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- sourceStatus
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- retrievalPlan
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- retrievalManifest
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- fineOutline
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- narrativeState
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- factEvidence
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- proseEvidence
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- patternReferences
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- evidenceCoverage
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- outputContract
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- tokenBudget
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- omittedSources
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- acceptanceEligible
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WriterContext可选字段:
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evidenceStrategy:
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枚举: [production_dual_evidence, historical_prose_only, card_index_only, card_index_plus_prose]
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约束: 生产固定 production_dual_evidence；card_index_only 仅诊断可跳过连续前四章基线
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indexHints:
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每项严格字段: [cardId, name, type, content, sourceId, sourceVersion, asOf]
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来源: retrieval_result.indexHints,覆盖同批检索命中的全部冻结卡,不以 sourceRefs 是否存在为准
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约束: 仅 mode=diagnostic_only、purpose 为 evaluation/diagnostic、acceptanceEligible=false；生产硬拒绝；asOf 不得越过上下文冻结线
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WriterOutput必填字段:
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- schemaVersion
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- runId
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- attempt
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- mode
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- qualityPolicyVersion
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- contextSnapshotId
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- contextSnapshotSha256
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- candidateVersion
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- candidateSha256
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- acceptanceEligible
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- candidateBody
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- claimLedger
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- evidenceRequests
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- newSettingDeclarations
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- selfCheck
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双证据:
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factEvidence来源: [historical_prose, formal_setting, canonical_state, fine_outline_declared_new]
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proseEvidence来源: 历史 Canonical 原文,必须带章号、块、字符区间与内容哈希
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indexHints用途: 只用于诊断卡索引替代效应,卡负责定位原文而不替代原文事实,不是事实证据,claimLedger不得引用
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接受边界: evaluation、diagnostic、diagnostic_only 一律 acceptanceEligible=false
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稳定排序: score DESC, sourceVersion ASC, sourceId ASC, sourceOffset ASC
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实现校验器: .claude/skills/read-context/scripts/writer_contract.py
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