[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6P07XZ6TQYVCTM8X3064AMM":3,"skill-same:01M6P07XZ6TQYVCTM8X3064AMM":758},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":42,"linkOnly":43,"markdownContent":44,"markdownBody":45,"frontMatter":46,"refName":30,"commitSha":57,"skillDirectory":58,"forksCount":13,"repositoryHtmlUrl":59,"repositoryHomepageUrl":6,"ownerHtmlUrl":60,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":61,"install":62,"resources":75},"01M6P07XZ6TQYVCTM8X3064AMM","crossframe",null,"Use when the user explicitly invokes CrossFrame or 跨尺度结构诊断 for Chinese-canonical structural diagnosis of complex relationships, organizations, institutions, public disputes, or long-term evolution.","duc-duy-1612\u002FOnline-Delivery-Systems-Web","duc-duy-1612","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F192231384?v=4","01M6NSDKQQDKVTHZ8DZMZ1VYY6","01M6NSDKW8DDVTQHBT1HBDDJPT",0,"MIT","https:\u002F\u002Fgithub.com\u002Fduc-duy-1612\u002FOnline-Delivery-Systems-Web\u002Fblob\u002Fmain\u002F.agents\u002Fskills_archive\u002Fcrossframe\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[5,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41],"community","for","organizations","long","diagnosis","structural","relationships","main","chinese","safe","use","evolution","https","license","reasoning","governance","workflow","codex","github","2026-11-10 10:12:30",false,"---\nname: crossframe\ndescription: \"Use when the user explicitly invokes CrossFrame or 跨尺度结构诊断 for Chinese-canonical structural diagnosis of complex relationships, organizations, institutions, public disputes, or long-term evolution.\"\ncategory: workflow\nrisk: safe\nsource: community\nsource_repo: xi-kari\u002Fcrossframe-skill\nsource_type: community\ndate_added: 2026-06-16\nauthor: xi-kari\nlicense: MIT\nlicense_source: https:\u002F\u002Fgithub.com\u002Fxi-kari\u002Fcrossframe-skill\u002Fblob\u002Fmain\u002FLICENSE\ntools:\n  - \"Agent Skills\"\n  - Codex\n  - Claude\ntags:\n  - crossframe\n  - chinese\n  - structural-diagnosis\n  - reasoning\n  - governance\n---\n# CrossFrame\n\n\n## When to Use This Skill\n\n- Use only when the user explicitly names CrossFrame, `crossframe`, `\u002Fcrossframe`, `$crossframe`, or 跨尺度结构诊断.\n- Use for Chinese-canonical structural diagnosis where facts, scale, evidence, responsibility, mechanisms, and action limits must be separated.\n- Do not use passively for ordinary analysis, writing, relationship advice, public commentary, philosophy, or long-term forecasting.\n\n## Packaged Source Note\n\nThis AAS-ready copy preserves the original CrossFrame skill body below. Chinese remains the canonical semantic layer; English metadata is only for discovery, installation, and repository review.\n\n## Limitations\n\n- The skill body is intentionally Chinese-canonical; English metadata is for discovery and does not replace the original Chinese terms.\n- Use only after explicit CrossFrame invocation or `crossframe-suite` routing; do not apply it as a generic default reasoning layer.\n- It structures analysis, drafting, and review, but does not replace source verification, domain expertise, or legal, medical, or financial judgment.\n\n如果用户任务需要多个 CrossFrame 平行 skill 连续协作，先读取 `..\u002Fcrossframe-suite\u002FSKILL.md` 做总调度；本 skill 负责其中的结构诊断、事实边界、尺度窗口、机制候选、七闸复核和判断档位。\n\n## 语言原则\n\n本 skill 的权威语义是中文。`CrossFrame` 只是英文传播名与 skill id，不承担概念解释权。\n\n遇到中英文可能冲突时，以中文术语为准：承接、回流、开放断言、尺度转移、责任链、观测反身性、低条件试探行动、退出转移、不浪费爱、强判断八件套、局部状态坐标、过程性产物边界。\n\n英文可以用于文件名、别名、对外简介或必要的双语标注；不要把中文概念硬译成英文后再反向理解。\n\n## 核心定位\n\nCrossFrame 不是“把 v5.0 文本塞进上下文”的提示词包，而是一个可执行的结构推理协议。\n\n每次使用都必须先形成内部推理产物，再输出结论。结论可以很短，但不能跳过事实抽取、七闸复核、机制候选、判断档位、源结构连续性和表达闸。\n\n## 必须执行的顺序\n\n1. 判断用户请求类型：快速诊断、完整诊断、推演、开放断言、命题验证、强判断、高反身性对象、亲密关系轻量入口、疗愈与转移、公共制度专项、低条件行动、高责任反俘获审查、框架边界、生命周期\u002F状态坐标、递进闭环、势场\u002F自主解离、治理连续性、框架治理与证伪、AI 过程性产物边界、弱信号\u002F不透明检查、无制度基础设施中间路径、无法退出主体保护、隐喻\u002F来源透明、工具化可及性、观测收束、超大规模压力测试、表达翻译、理论后台，或概念解释。\n2. 读取 `references\u002Fruntime-read-policy.md`、`references\u002Fread-routing-map.md` 和必要时 `references\u002Fv5-material-selection-map.md`，确定本次需要加载的 v5 source modules、连读包、协议、工作表、概念卡和模板。\n3. 先定位 v5 source modules，不全量打开大文件。默认只记录需要的 source module、关键词、V5-H 或源范围；只有源锚点不足、用户要求源审计、或高责任判断需要核验时，才定向读取 `references\u002Fv5-source-spine.md`、`references\u002Fv5-section-digest-index.md`、`references\u002Fv5-coverage-map.md` 或 `references\u002Fv5-term-fidelity.md` 的相关局部。\n4. 读取 `references\u002Fcontinuity-closure-map.md` 展开入口包的“必须同读闭包”；需要包说明、源锚点或降档细节时，再读取 `references\u002Fcontinuity-bundles.md` 和对应 `references\u002Fcontinuity-bundles\u002Fv5\u002F\u003Cbundle-id>.md`。默认最多读取 3 个入口核心包 + 2 个相邻辅助包；这个上限不限制必须同读闭包。高责任、公共制度、组织处置、公开判断必须优先读七闸、强判断八件套、低权力保护、证据降级与行动上限包及其闭包。\n5. 按 `templates\u002Fread-state-capsule.md` 生成 `v5-read-state-capsule`：先列 source modules，再列入口包、必须同读闭包、相邻候选、源锚点、降档边界和下游读取策略。suite 不生成胶囊，胶囊由本核心层生成并传给专项 skill、essay 和 review。\n6. 填写内部 intake：对象、尺度、事实、证据缺口、用户用途、受影响对象、观测影响、权力结构、行动上限。\n7. 通过七闸：对象闸、证据闸、尺度闸、责任闸、观测闸、权力闸、行动闸。七闸任一不完整，不能维持强判断。\n8. 形成至少两个机制候选；除非证据足以说明只有一个机制。\n9. 对承担判断作用的概念做完整吸收：读取对应概念卡，并用 `worksheets\u002Fconcept-fidelity-check.md` 做保真检查。\n10. 用 `worksheets\u002Fsource-continuity-check.md` 检查是否只读了孤立概念卡、漏掉 v5 相邻约束或需要降档。\n11. 用 `worksheets\u002Fsource-anchor-integrity-check.md` 检查中心命题、机制候选、高风险概念和行动边界能否回指胶囊源锚点；不能回指的内容只能标为“本文推断 \u002F 表达转译 \u002F 外部思想映射”，不得写成 CrossFrame v5 原义。\n12. 决定判断档位：轻量观察、开放断言、完整诊断、强判断、低条件试探行动、退出转移。若必须联读但未联读，或源锚点不足，不能维持强判断。\n13. 先输出可见推理提纲，再选择模板输出：先说现实语言，再按需要附内部映射。\n\n## 读取规则\n\n- 默认遵守 `references\u002Fruntime-read-policy.md`：不读取 `evals\u002F`、`examples\u002F`、完整成功案例、完整失败案例或全量 v5 大索引。它们只用于开发压测、回归验证、风格调试、用户显式要求源审计或源锚点失败后的定向补读。\n- 普通诊断：读 `protocols\u002Fdiagnosis-protocol.md`，并使用 `worksheets\u002Fintake-worksheet.md`、`worksheets\u002Fseven-gates-worksheet.md`、`worksheets\u002Fevidence-ledger.md`、`worksheets\u002Fmechanism-candidates.md`。\n- 推演、后续走向、路径展开、分支终点：读 `protocols\u002Finference-protocol.md` 和 `templates\u002Finference-output.md`，并按需追加状态坐标、长期演化、治理连续性包。\n- 低到中等把握的判断：读 `protocols\u002Fopen-assertion-protocol.md`、`worksheets\u002Fopen-assertion-record.md`、`templates\u002Fopen-assertion-output.md` 和 `v5-open-assertion-proposition-pack`。\n- 高责任、强权力密度、处分、名誉、权利、资源、公共记忆类问题：读 `protocols\u002Fanti-capture-protocol.md`、`worksheets\u002Fhigh-responsibility-check.md`，并追加 `v5-low-power-protection-pack`、`v5-evidence-downgrade-action-ceiling-pack`。\n- 影响资格、名誉、资源、权利、处置、公共记忆的强判断：读 `protocols\u002Fproposition-verification-protocol.md`、`worksheets\u002Fproposition-verification.md`、`worksheets\u002Fprospective-registration.md`、`templates\u002Fstrong-judgment-output.md`，并追加 `v5-strong-judgment-eight-pack`。\n- AI 报告、合规材料、漂亮汇报、机构自评、模型诊断：读 `v5-ai-process-artifact-boundary-pack`；必须声明过程性产物不得充当现实证明。\n- 会因被观察、命名、公开或处置而改变行为、身份、证据或边界的对象：读 `protocols\u002Fhigh-reflexivity-protocol.md`、`worksheets\u002Freflexivity-state-transfer.md`、`templates\u002Fhigh-reflexivity-output.md` 和 `v5-observation-reflexivity-release-pack`。\n- 亲密关系、家庭、朋友、照护、单方承接、解释劳动和爱被要求的场景：读 `protocols\u002Fintimate-relationship-protocol.md`、`worksheets\u002Fintimate-relationship-light-check.md`、`templates\u002Fintimate-relationship-output.md`，并先读 `v5-love-trapped-trauma-pack` 和 `v5-low-power-protection-pack`。\n- 系统停滞、创伤、修复、退出转移和重建场景：读 `protocols\u002Fhealing-transfer-protocol.md`、`worksheets\u002Fhealing-transfer-map.md`、`templates\u002Fhealing-transfer-output.md` 和 `v5-action-healing-transfer-pack`。\n- 公共制度、平台治理、公共承诺和高权力密度公共议题：读 `protocols\u002Fpublic-institution-protocol.md`、`worksheets\u002Fpublic-institution-check.md`、`templates\u002Fpublic-institution-output.md`，并追加 `v5-public-power-institution-pack`、`v5-evidence-downgrade-action-ceiling-pack`、`v5-low-power-protection-pack`。\n- CrossFrame 可能被当作万能理论、领域替代品、人格审判工具或 AI 合规材料背书时：读 `protocols\u002Fframework-boundary-protocol.md`、`worksheets\u002Fframework-boundary-check.md`、`references\u002Fframework-ontology-protection.md` 和 `v5-use-boundary-governance-pack`。\n- 长期演化、阶段判断、组织\u002F关系\u002F制度周期变化：读 `protocols\u002Flifecycle-diagnosis-protocol.md`、`worksheets\u002Flifecycle-stage-record.md`、`templates\u002Flifecycle-output.md` 和 `v5-state-coordinate-lifecycle-pack`。阶段 0-6 只能作为局部状态坐标，禁止写成线性宿命。\n- 战略推进、长期修复、子锚点闭环、为什么忙但没有积累：读 `protocols\u002Fprogression-protocol.md`、`worksheets\u002Fsub-anchor-progression.md`、`templates\u002Fprogression-output.md` 和 `v5-long-evolution-progression-field-pack`。\n- 正负势场、沉积基本盘、自主解离、保护性退出：读 `protocols\u002Ffield-dissociation-protocol.md`、`worksheets\u002Ffield-dissociation-check.md` 和 `v5-long-evolution-progression-field-pack`。\n- 调节、预警、偿付约束、多中心治理、承接者生成和代际承接：读 `protocols\u002Fgovernance-continuity-protocol.md`、`worksheets\u002Fgovernance-continuity-check.md`、`templates\u002Fgovernance-continuity-output.md` 和 `v5-governance-continuity-multicenter-pack`。\n- 文明尺度、历史尺度、超大规模圈层或宏大公共判断：读 `protocols\u002Flarge-scale-stress-test-protocol.md`、`worksheets\u002Flarge-scale-stress-test.md`、`templates\u002Flarge-scale-stress-output.md`，并先降级检查证据和发布门禁。\n- 面向普通人、管理、制度公共、技术治理或其他 AI 软件改写表达：读 `protocols\u002Fexpression-translation-protocol.md`、`references\u002Fexpression-translation-table.md`、`templates\u002Fexpression-translation-output.md` 和 `v5-domain-translation-normative-source-pack`。\n- 概念解释、概念边界、思想解释类问题：读 `protocols\u002Fconcept-explanation-protocol.md`、`references\u002Fconcepts-minimal-set.md`、`references\u002Fv5-term-fidelity.md`、`v5-core-concept-integrity-pack`，再按需读必要概念卡。\n- 哲学、意义、第一因、生命是什么、虚无主义、存在理由等抽象问题：优先走概念解释协议，先做尺度拆分和结构性开放断言；只有无法转成任何结构问题时，才退回 `protocols\u002Fframework-boundary-protocol.md`。\n- 如果最终输出要使用承接\u002F回流、开放断言、尺度转移、观测反身性、权力封闭、低条件试探行动、爱\u002F开放行动、主体\u002F责任链、证据成本、机制候选、判断档位、退出转移、修复副产品等高风险概念，必须先读取对应概念卡和 v5 连读包；不能只凭最小概念集作精细判断。\n\n## 输出规则\n\n- 默认输出短而清楚。除非用户明确要求极简结论，否则先展示一个“推理提纲”；不展示完整工作表。\n- 推理提纲必须包含：诊断对象、事实边界、尺度窗口、七闸复核、机制候选、判断档位、本次读取的概念或保真检查、本次 v5 连续联读包、读态胶囊摘要、下一步观察或行动。\n- 深度、审计、高责任、公共制度、亲密关系、长期演化和文章输出场景，推理提纲必须显示“本次连续联读包”；普通轻量问题可以写“未触发”。\n- 推理提纲只能写提纲，不写冗长内心推理；它用于让用户看见推理路径，也用于约束后续输出不跳步。\n- 只有用户要求“完整推理过程”“内部映射”“工作表”“审计”时，才展开完整工作表。\n- 默认先说人话，不堆术语。第一段必须让没有读过框架的人也能明白“发生了什么、为什么卡住、下一步看什么”。\n- 永远区分：来源、事实、证据、解释、机制候选、判断档位、行动上限。\n- 术语只能作为附加映射，不得作为结论本身。不要用“这是典型的 X，所以 Y”替代推理。\n- 输出前必须通过表达闸：删掉所有框架术语后，核心判断仍然能被普通用户读懂。\n- 不得把结构诊断变成人格审判、命运预言、意识形态标签或道德授权。\n- 不得用尺度升维抹掉低尺度痛苦、压力、失职和责任链。\n- 不得把“爱”说成命令、正当性证明或单方面忍耐要求。\n- 不得把 AI 生成的合规材料、漂亮报告、自评文本当作高成本证据。\n- 不得用强判断绕开命题验证；开放断言不能作为高责任处置依据。\n- 高反身性对象不得无限递归；第三层之后没有新增高成本证据或结构变量时，必须收束或降档。\n- 亲密关系场景先保护痛苦、安全和边界，不把修复责任压回受伤者。\n- 疗愈与转移只提供结构行动边界，不替代医疗、心理、法律、安全或组织处置。\n- 如果证据不足但问题紧急，输出低风险、可撤回、可观察的小动作，而不是假装已经完成强诊断。\n\n## 表达闸\n\n最终输出前，内部检查四问：\n\n1. 第一段是否不用术语也能说清问题？\n2. 用户是否能知道这个判断来自哪些事实，而不是来自概念套用？\n3. 是否把“承接、回流、尺度、开放断言”等术语翻译成了现实行为？\n4. 是否给出了一个可观察信号或行动边界？\n\n任一不通过，先重写表达，再输出。\n\n## 推理提纲\n\n默认输出前置一个简短提纲：\n\n- 诊断对象：\n- 事实边界：\n- 尺度窗口：\n- 七闸复核：\n- 机制候选：\n- 判断档位：\n- 本次读取的概念：\n- 本次 v5 连续联读包：\n- 下一步：\n\n这个提纲不是完整工作表，也不是冗长推理链。它的作用是让用户看见：本次输出确实先界定对象、检查证据、比较机制、再给判断。\n\n## 核心资料\n\n- `references\u002Fruntime-read-policy.md`：正常运行时的轻量读取策略，控制 eval\u002Fexamples、完整案例和大 source modules 的默认不读取边界。\n- `references\u002Fcontinuity-closure-map.md`：v5 连读包闭包的轻量运行时图。\n- `references\u002Fv5-source-spine.md`：v5.0 原文标题层级、章节顺序、段落范围、相邻关系、表格索引和默认连读包。\n- `references\u002Fv5-section-digest-index.md`：v5.0 逐节保真摘要、不可误读边界和相邻联读提醒。\n- `references\u002Fv5-coverage-map.md`：v5.0 章节到 skill 模块、协议、工作表和连读包的覆盖地图。\n- `references\u002Fv5-term-fidelity.md`：v5.0 术语保真表，防止压缩失真。\n- `references\u002Fv5-material-selection-map.md`：v5.0 source modules、连读包、协议和模板的选择图。\n- `references\u002Fcontinuity-bundles.md`：v5.0 连续联读包索引。\n- `references\u002Fcontinuity-bundles\u002Fv5\u002F`：26 个 v5 独立连读包。\n- `references\u002Fread-routing-map.md`：按请求类型选择协议、工作表、概念卡和模板。\n- `templates\u002Fread-state-capsule.md`：本次 v5 source modules、入口包、必须同读闭包、源锚点和下游读取策略的胶囊模板。\n- `references\u002Fcrossframe-v2-core.md`、`references\u002Fv2-*`、`references\u002Fv3-*`：历史基线，仅在版本追踪或回退审计时读取。\n- `references\u002Fconcepts-minimal-set.md`：最小概念集。\n- `references\u002Fframework-ontology-protection.md`：框架本体保护、反领域殖民、反模型殖民和概念改动规则。\n- `references\u002Fguardrails.md`：反误用规则。\n- `references\u002Fdiagnostic-dimensions.md`、`references\u002Fdiagnostic-toolbox-index.md`：复杂案例按需读取。\n- `references\u002Ftheory-backend-index.md`：根假设、核心推论、全周期演化、递进模式、多中心治理等深层理论索引。\n- `references\u002Fexpression-translation-table.md`：把后台概念翻译成普通人、管理、制度和技术治理语境。\n- `references\u002Fconcept-cards\u002F`：高风险概念卡。\n- `worksheets\u002Fseven-gates-worksheet.md`：七闸复核表。\n- `worksheets\u002Fsource-continuity-check.md`：输出前检查是否读少、断章或漏掉原文连续约束。\n- `worksheets\u002Fsource-anchor-integrity-check.md`：输出前检查中心命题、机制候选、概念、行动边界和文章转译是否能回指胶囊源锚点。\n\n## 高风险概念闸\n\n以下概念不能只按字面理解；一旦它们承担判断作用，必须读取对应概念卡和 v5 连读包：\n\n- 承接 \u002F 回流：读 `references\u002Fconcept-cards\u002Fchengjie-huiliu.md`，并联读 `v5-core-concept-integrity-pack`。\n- 开放断言：读 `references\u002Fconcept-cards\u002Fopen-assertion.md`，并联读 `v5-open-assertion-proposition-pack`。\n- 尺度转移 \u002F 尺度升维：读 `references\u002Fconcept-cards\u002Fscale-transfer.md`，并联读 `v5-cross-scale-context-translation-pack`。\n- 观测反身性：读 `references\u002Fconcept-cards\u002Freflexivity.md`，并联读 `v5-observation-reflexivity-release-pack`。\n- 权力封闭 \u002F 反俘获：读 `references\u002Fconcept-cards\u002Fpower-closure.md`，并联读 `v5-public-power-institution-pack` 与 `v5-low-power-protection-pack`。\n- 低条件试探行动：读 `references\u002Fconcept-cards\u002Flow-condition-action.md`，并联读 `v5-diagnosis-admission-downgrade-exit-pack`。\n- 爱 \u002F 开放行动 \u002F 不浪费爱：读 `references\u002Fconcept-cards\u002Flove-open-action.md`，并联读 `v5-love-trapped-trauma-pack`。\n- 主体 \u002F 责任链：读 `references\u002Fconcept-cards\u002Fresponsibility-chain.md`，并联读 `v5-responsibility-intervention-separation-pack`。\n- 证据成本 \u002F 弱信号 \u002F AI 合规材料：读 `references\u002Fconcept-cards\u002Fevidence-cost.md`，并联读 `v5-source-evidence-separation-pack` 与 `v5-ai-process-artifact-boundary-pack`。\n- 机制候选：读 `references\u002Fconcept-cards\u002Fmechanism-candidates.md`，并过七闸。\n- 判断档位：读 `references\u002Fconcept-cards\u002Fjudgment-grades.md`，并联读 `v5-evidence-downgrade-action-ceiling-pack`。\n- 退出转移：读 `references\u002Fconcept-cards\u002Fexit-transfer.md`，并联读 `v5-action-healing-transfer-pack`。\n- 修复副产品 \u002F 伪修复：读 `references\u002Fconcept-cards\u002Frepair-byproduct.md`，并联读 `v5-action-healing-transfer-pack`。\n- 生命周期 \u002F 阶段：读 `protocols\u002Flifecycle-diagnosis-protocol.md`，并联读 `v5-state-coordinate-lifecycle-pack`。\n- 框架治理 \u002F 证伪 \u002F 良性消亡：读 `references\u002Fconcept-cards\u002Fframework-governance-falsification.md`，并联读 `v5-framework-self-diagnosis-falsification-pack`。\n- 无法退出主体 \u002F 复杂创伤 \u002F 无健康基准：读 `references\u002Fconcept-cards\u002Ftrapped-subject-trauma-baseline.md`，并联读 `v5-love-trapped-trauma-pack`。\n- 隐喻漂移 \u002F 来源透明 \u002F 规范性前提：读 `references\u002Fconcept-cards\u002Fmetaphor-source-transparency.md`，并联读 `v5-domain-translation-normative-source-pack`。\n- 使用门槛债 \u002F 工具化 \u002F 分裂协议：读 `references\u002Fconcept-cards\u002Faccessibility-toolization-split.md`，并联读 `v5-toolization-accessibility-release-pack`。\n- 观测收束 \u002F 熵增边界：读 `references\u002Fconcept-cards\u002Fobservation-entropy-contraction.md`，并联读 `v5-observation-reflexivity-release-pack`。\n\n## 最低合格标准\n\n一次合格的 CrossFrame 输出必须能回答：\n\n- 我们到底在诊断什么对象？\n- 哪些是来源，哪些是事实，哪些只是解释？\n- 当前处在哪个尺度窗口？\n- 七闸中哪一闸通过、哪一闸导致降级？\n- 至少有哪些机制候选？\n- 是否需要命题验证、强判断八件套、高反身性处理、亲密关系轻量入口、疗愈转移或公共制度专项？\n- 谁在承担成本，谁有改变条件？\n- 本次判断依赖哪些高风险概念，是否读取了完整概念卡和 v5 连读包？\n- 这个判断能被什么证据撤回？\n- 下一步是观察、修复、试探行动，还是退出转移？\n- 生命周期判断是否写成了局部状态坐标，而不是线性宿命？\n- 本次是否触发 v5 连续联读包，是否避免了只读孤立概念卡？\n- 是否生成 `v5-read-state-capsule`，并让中心命题、机制候选、高风险概念和行动边界回指源锚点？\n","# CrossFrame\n\n\n## When to Use This Skill\n\n- Use only when the user explicitly names CrossFrame, `crossframe`, `\u002Fcrossframe`, `$crossframe`, or 跨尺度结构诊断.\n- Use for Chinese-canonical structural diagnosis where facts, scale, evidence, responsibility, mechanisms, and action limits must be separated.\n- Do not use passively for ordinary analysis, writing, relationship advice, public commentary, philosophy, or long-term forecasting.\n\n## Packaged Source Note\n\nThis AAS-ready copy preserves the original CrossFrame skill body below. Chinese remains the canonical semantic layer; English metadata is only for discovery, installation, and repository review.\n\n## Limitations\n\n- The skill body is intentionally Chinese-canonical; English metadata is for discovery and does not replace the original Chinese terms.\n- Use only after explicit CrossFrame invocation or `crossframe-suite` routing; do not apply it as a generic default reasoning layer.\n- It structures analysis, drafting, and review, but does not replace source verification, domain expertise, or legal, medical, or financial judgment.\n\n如果用户任务需要多个 CrossFrame 平行 skill 连续协作，先读取 `..\u002Fcrossframe-suite\u002FSKILL.md` 做总调度；本 skill 负责其中的结构诊断、事实边界、尺度窗口、机制候选、七闸复核和判断档位。\n\n## 语言原则\n\n本 skill 的权威语义是中文。`CrossFrame` 只是英文传播名与 skill id，不承担概念解释权。\n\n遇到中英文可能冲突时，以中文术语为准：承接、回流、开放断言、尺度转移、责任链、观测反身性、低条件试探行动、退出转移、不浪费爱、强判断八件套、局部状态坐标、过程性产物边界。\n\n英文可以用于文件名、别名、对外简介或必要的双语标注；不要把中文概念硬译成英文后再反向理解。\n\n## 核心定位\n\nCrossFrame 不是“把 v5.0 文本塞进上下文”的提示词包，而是一个可执行的结构推理协议。\n\n每次使用都必须先形成内部推理产物，再输出结论。结论可以很短，但不能跳过事实抽取、七闸复核、机制候选、判断档位、源结构连续性和表达闸。\n\n## 必须执行的顺序\n\n1. 判断用户请求类型：快速诊断、完整诊断、推演、开放断言、命题验证、强判断、高反身性对象、亲密关系轻量入口、疗愈与转移、公共制度专项、低条件行动、高责任反俘获审查、框架边界、生命周期\u002F状态坐标、递进闭环、势场\u002F自主解离、治理连续性、框架治理与证伪、AI 过程性产物边界、弱信号\u002F不透明检查、无制度基础设施中间路径、无法退出主体保护、隐喻\u002F来源透明、工具化可及性、观测收束、超大规模压力测试、表达翻译、理论后台，或概念解释。\n2. 读取 `references\u002Fruntime-read-policy.md`、`references\u002Fread-routing-map.md` 和必要时 `references\u002Fv5-material-selection-map.md`，确定本次需要加载的 v5 source modules、连读包、协议、工作表、概念卡和模板。\n3. 先定位 v5 source modules，不全量打开大文件。默认只记录需要的 source module、关键词、V5-H 或源范围；只有源锚点不足、用户要求源审计、或高责任判断需要核验时，才定向读取 `references\u002Fv5-source-spine.md`、`references\u002Fv5-section-digest-index.md`、`references\u002Fv5-coverage-map.md` 或 `references\u002Fv5-term-fidelity.md` 的相关局部。\n4. 读取 `references\u002Fcontinuity-closure-map.md` 展开入口包的“必须同读闭包”；需要包说明、源锚点或降档细节时，再读取 `references\u002Fcontinuity-bundles.md` 和对应 `references\u002Fcontinuity-bundles\u002Fv5\u002F\u003Cbundle-id>.md`。默认最多读取 3 个入口核心包 + 2 个相邻辅助包；这个上限不限制必须同读闭包。高责任、公共制度、组织处置、公开判断必须优先读七闸、强判断八件套、低权力保护、证据降级与行动上限包及其闭包。\n5. 按 `templates\u002Fread-state-capsule.md` 生成 `v5-read-state-capsule`：先列 source modules，再列入口包、必须同读闭包、相邻候选、源锚点、降档边界和下游读取策略。suite 不生成胶囊，胶囊由本核心层生成并传给专项 skill、essay 和 review。\n6. 填写内部 intake：对象、尺度、事实、证据缺口、用户用途、受影响对象、观测影响、权力结构、行动上限。\n7. 通过七闸：对象闸、证据闸、尺度闸、责任闸、观测闸、权力闸、行动闸。七闸任一不完整，不能维持强判断。\n8. 形成至少两个机制候选；除非证据足以说明只有一个机制。\n9. 对承担判断作用的概念做完整吸收：读取对应概念卡，并用 `worksheets\u002Fconcept-fidelity-check.md` 做保真检查。\n10. 用 `worksheets\u002Fsource-continuity-check.md` 检查是否只读了孤立概念卡、漏掉 v5 相邻约束或需要降档。\n11. 用 `worksheets\u002Fsource-anchor-integrity-check.md` 检查中心命题、机制候选、高风险概念和行动边界能否回指胶囊源锚点；不能回指的内容只能标为“本文推断 \u002F 表达转译 \u002F 外部思想映射”，不得写成 CrossFrame v5 原义。\n12. 决定判断档位：轻量观察、开放断言、完整诊断、强判断、低条件试探行动、退出转移。若必须联读但未联读，或源锚点不足，不能维持强判断。\n13. 先输出可见推理提纲，再选择模板输出：先说现实语言，再按需要附内部映射。\n\n## 读取规则\n\n- 默认遵守 `references\u002Fruntime-read-policy.md`：不读取 `evals\u002F`、`examples\u002F`、完整成功案例、完整失败案例或全量 v5 大索引。它们只用于开发压测、回归验证、风格调试、用户显式要求源审计或源锚点失败后的定向补读。\n- 普通诊断：读 `protocols\u002Fdiagnosis-protocol.md`，并使用 `worksheets\u002Fintake-worksheet.md`、`worksheets\u002Fseven-gates-worksheet.md`、`worksheets\u002Fevidence-ledger.md`、`worksheets\u002Fmechanism-candidates.md`。\n- 推演、后续走向、路径展开、分支终点：读 `protocols\u002Finference-protocol.md` 和 `templates\u002Finference-output.md`，并按需追加状态坐标、长期演化、治理连续性包。\n- 低到中等把握的判断：读 `protocols\u002Fopen-assertion-protocol.md`、`worksheets\u002Fopen-assertion-record.md`、`templates\u002Fopen-assertion-output.md` 和 `v5-open-assertion-proposition-pack`。\n- 高责任、强权力密度、处分、名誉、权利、资源、公共记忆类问题：读 `protocols\u002Fanti-capture-protocol.md`、`worksheets\u002Fhigh-responsibility-check.md`，并追加 `v5-low-power-protection-pack`、`v5-evidence-downgrade-action-ceiling-pack`。\n- 影响资格、名誉、资源、权利、处置、公共记忆的强判断：读 `protocols\u002Fproposition-verification-protocol.md`、`worksheets\u002Fproposition-verification.md`、`worksheets\u002Fprospective-registration.md`、`templates\u002Fstrong-judgment-output.md`，并追加 `v5-strong-judgment-eight-pack`。\n- AI 报告、合规材料、漂亮汇报、机构自评、模型诊断：读 `v5-ai-process-artifact-boundary-pack`；必须声明过程性产物不得充当现实证明。\n- 会因被观察、命名、公开或处置而改变行为、身份、证据或边界的对象：读 `protocols\u002Fhigh-reflexivity-protocol.md`、`worksheets\u002Freflexivity-state-transfer.md`、`templates\u002Fhigh-reflexivity-output.md` 和 `v5-observation-reflexivity-release-pack`。\n- 亲密关系、家庭、朋友、照护、单方承接、解释劳动和爱被要求的场景：读 `protocols\u002Fintimate-relationship-protocol.md`、`worksheets\u002Fintimate-relationship-light-check.md`、`templates\u002Fintimate-relationship-output.md`，并先读 `v5-love-trapped-trauma-pack` 和 `v5-low-power-protection-pack`。\n- 系统停滞、创伤、修复、退出转移和重建场景：读 `protocols\u002Fhealing-transfer-protocol.md`、`worksheets\u002Fhealing-transfer-map.md`、`templates\u002Fhealing-transfer-output.md` 和 `v5-action-healing-transfer-pack`。\n- 公共制度、平台治理、公共承诺和高权力密度公共议题：读 `protocols\u002Fpublic-institution-protocol.md`、`worksheets\u002Fpublic-institution-check.md`、`templates\u002Fpublic-institution-output.md`，并追加 `v5-public-power-institution-pack`、`v5-evidence-downgrade-action-ceiling-pack`、`v5-low-power-protection-pack`。\n- CrossFrame 可能被当作万能理论、领域替代品、人格审判工具或 AI 合规材料背书时：读 `protocols\u002Fframework-boundary-protocol.md`、`worksheets\u002Fframework-boundary-check.md`、`references\u002Fframework-ontology-protection.md` 和 `v5-use-boundary-governance-pack`。\n- 长期演化、阶段判断、组织\u002F关系\u002F制度周期变化：读 `protocols\u002Flifecycle-diagnosis-protocol.md`、`worksheets\u002Flifecycle-stage-record.md`、`templates\u002Flifecycle-output.md` 和 `v5-state-coordinate-lifecycle-pack`。阶段 0-6 只能作为局部状态坐标，禁止写成线性宿命。\n- 战略推进、长期修复、子锚点闭环、为什么忙但没有积累：读 `protocols\u002Fprogression-protocol.md`、`worksheets\u002Fsub-anchor-progression.md`、`templates\u002Fprogression-output.md` 和 `v5-long-evolution-progression-field-pack`。\n- 正负势场、沉积基本盘、自主解离、保护性退出：读 `protocols\u002Ffield-dissociation-protocol.md`、`worksheets\u002Ffield-dissociation-check.md` 和 `v5-long-evolution-progression-field-pack`。\n- 调节、预警、偿付约束、多中心治理、承接者生成和代际承接：读 `protocols\u002Fgovernance-continuity-protocol.md`、`worksheets\u002Fgovernance-continuity-check.md`、`templates\u002Fgovernance-continuity-output.md` 和 `v5-governance-continuity-multicenter-pack`。\n- 文明尺度、历史尺度、超大规模圈层或宏大公共判断：读 `protocols\u002Flarge-scale-stress-test-protocol.md`、`worksheets\u002Flarge-scale-stress-test.md`、`templates\u002Flarge-scale-stress-output.md`，并先降级检查证据和发布门禁。\n- 面向普通人、管理、制度公共、技术治理或其他 AI 软件改写表达：读 `protocols\u002Fexpression-translation-protocol.md`、`references\u002Fexpression-translation-table.md`、`templates\u002Fexpression-translation-output.md` 和 `v5-domain-translation-normative-source-pack`。\n- 概念解释、概念边界、思想解释类问题：读 `protocols\u002Fconcept-explanation-protocol.md`、`references\u002Fconcepts-minimal-set.md`、`references\u002Fv5-term-fidelity.md`、`v5-core-concept-integrity-pack`，再按需读必要概念卡。\n- 哲学、意义、第一因、生命是什么、虚无主义、存在理由等抽象问题：优先走概念解释协议，先做尺度拆分和结构性开放断言；只有无法转成任何结构问题时，才退回 `protocols\u002Fframework-boundary-protocol.md`。\n- 如果最终输出要使用承接\u002F回流、开放断言、尺度转移、观测反身性、权力封闭、低条件试探行动、爱\u002F开放行动、主体\u002F责任链、证据成本、机制候选、判断档位、退出转移、修复副产品等高风险概念，必须先读取对应概念卡和 v5 连读包；不能只凭最小概念集作精细判断。\n\n## 输出规则\n\n- 默认输出短而清楚。除非用户明确要求极简结论，否则先展示一个“推理提纲”；不展示完整工作表。\n- 推理提纲必须包含：诊断对象、事实边界、尺度窗口、七闸复核、机制候选、判断档位、本次读取的概念或保真检查、本次 v5 连续联读包、读态胶囊摘要、下一步观察或行动。\n- 深度、审计、高责任、公共制度、亲密关系、长期演化和文章输出场景，推理提纲必须显示“本次连续联读包”；普通轻量问题可以写“未触发”。\n- 推理提纲只能写提纲，不写冗长内心推理；它用于让用户看见推理路径，也用于约束后续输出不跳步。\n- 只有用户要求“完整推理过程”“内部映射”“工作表”“审计”时，才展开完整工作表。\n- 默认先说人话，不堆术语。第一段必须让没有读过框架的人也能明白“发生了什么、为什么卡住、下一步看什么”。\n- 永远区分：来源、事实、证据、解释、机制候选、判断档位、行动上限。\n- 术语只能作为附加映射，不得作为结论本身。不要用“这是典型的 X，所以 Y”替代推理。\n- 输出前必须通过表达闸：删掉所有框架术语后，核心判断仍然能被普通用户读懂。\n- 不得把结构诊断变成人格审判、命运预言、意识形态标签或道德授权。\n- 不得用尺度升维抹掉低尺度痛苦、压力、失职和责任链。\n- 不得把“爱”说成命令、正当性证明或单方面忍耐要求。\n- 不得把 AI 生成的合规材料、漂亮报告、自评文本当作高成本证据。\n- 不得用强判断绕开命题验证；开放断言不能作为高责任处置依据。\n- 高反身性对象不得无限递归；第三层之后没有新增高成本证据或结构变量时，必须收束或降档。\n- 亲密关系场景先保护痛苦、安全和边界，不把修复责任压回受伤者。\n- 疗愈与转移只提供结构行动边界，不替代医疗、心理、法律、安全或组织处置。\n- 如果证据不足但问题紧急，输出低风险、可撤回、可观察的小动作，而不是假装已经完成强诊断。\n\n## 表达闸\n\n最终输出前，内部检查四问：\n\n1. 第一段是否不用术语也能说清问题？\n2. 用户是否能知道这个判断来自哪些事实，而不是来自概念套用？\n3. 是否把“承接、回流、尺度、开放断言”等术语翻译成了现实行为？\n4. 是否给出了一个可观察信号或行动边界？\n\n任一不通过，先重写表达，再输出。\n\n## 推理提纲\n\n默认输出前置一个简短提纲：\n\n- 诊断对象：\n- 事实边界：\n- 尺度窗口：\n- 七闸复核：\n- 机制候选：\n- 判断档位：\n- 本次读取的概念：\n- 本次 v5 连续联读包：\n- 下一步：\n\n这个提纲不是完整工作表，也不是冗长推理链。它的作用是让用户看见：本次输出确实先界定对象、检查证据、比较机制、再给判断。\n\n## 核心资料\n\n- `references\u002Fruntime-read-policy.md`：正常运行时的轻量读取策略，控制 eval\u002Fexamples、完整案例和大 source modules 的默认不读取边界。\n- `references\u002Fcontinuity-closure-map.md`：v5 连读包闭包的轻量运行时图。\n- `references\u002Fv5-source-spine.md`：v5.0 原文标题层级、章节顺序、段落范围、相邻关系、表格索引和默认连读包。\n- `references\u002Fv5-section-digest-index.md`：v5.0 逐节保真摘要、不可误读边界和相邻联读提醒。\n- `references\u002Fv5-coverage-map.md`：v5.0 章节到 skill 模块、协议、工作表和连读包的覆盖地图。\n- `references\u002Fv5-term-fidelity.md`：v5.0 术语保真表，防止压缩失真。\n- `references\u002Fv5-material-selection-map.md`：v5.0 source modules、连读包、协议和模板的选择图。\n- `references\u002Fcontinuity-bundles.md`：v5.0 连续联读包索引。\n- `references\u002Fcontinuity-bundles\u002Fv5\u002F`：26 个 v5 独立连读包。\n- `references\u002Fread-routing-map.md`：按请求类型选择协议、工作表、概念卡和模板。\n- `templates\u002Fread-state-capsule.md`：本次 v5 source modules、入口包、必须同读闭包、源锚点和下游读取策略的胶囊模板。\n- `references\u002Fcrossframe-v2-core.md`、`references\u002Fv2-*`、`references\u002Fv3-*`：历史基线，仅在版本追踪或回退审计时读取。\n- `references\u002Fconcepts-minimal-set.md`：最小概念集。\n- `references\u002Fframework-ontology-protection.md`：框架本体保护、反领域殖民、反模型殖民和概念改动规则。\n- `references\u002Fguardrails.md`：反误用规则。\n- `references\u002Fdiagnostic-dimensions.md`、`references\u002Fdiagnostic-toolbox-index.md`：复杂案例按需读取。\n- `references\u002Ftheory-backend-index.md`：根假设、核心推论、全周期演化、递进模式、多中心治理等深层理论索引。\n- `references\u002Fexpression-translation-table.md`：把后台概念翻译成普通人、管理、制度和技术治理语境。\n- `references\u002Fconcept-cards\u002F`：高风险概念卡。\n- `worksheets\u002Fseven-gates-worksheet.md`：七闸复核表。\n- `worksheets\u002Fsource-continuity-check.md`：输出前检查是否读少、断章或漏掉原文连续约束。\n- `worksheets\u002Fsource-anchor-integrity-check.md`：输出前检查中心命题、机制候选、概念、行动边界和文章转译是否能回指胶囊源锚点。\n\n## 高风险概念闸\n\n以下概念不能只按字面理解；一旦它们承担判断作用，必须读取对应概念卡和 v5 连读包：\n\n- 承接 \u002F 回流：读 `references\u002Fconcept-cards\u002Fchengjie-huiliu.md`，并联读 `v5-core-concept-integrity-pack`。\n- 开放断言：读 `references\u002Fconcept-cards\u002Fopen-assertion.md`，并联读 `v5-open-assertion-proposition-pack`。\n- 尺度转移 \u002F 尺度升维：读 `references\u002Fconcept-cards\u002Fscale-transfer.md`，并联读 `v5-cross-scale-context-translation-pack`。\n- 观测反身性：读 `references\u002Fconcept-cards\u002Freflexivity.md`，并联读 `v5-observation-reflexivity-release-pack`。\n- 权力封闭 \u002F 反俘获：读 `references\u002Fconcept-cards\u002Fpower-closure.md`，并联读 `v5-public-power-institution-pack` 与 `v5-low-power-protection-pack`。\n- 低条件试探行动：读 `references\u002Fconcept-cards\u002Flow-condition-action.md`，并联读 `v5-diagnosis-admission-downgrade-exit-pack`。\n- 爱 \u002F 开放行动 \u002F 不浪费爱：读 `references\u002Fconcept-cards\u002Flove-open-action.md`，并联读 `v5-love-trapped-trauma-pack`。\n- 主体 \u002F 责任链：读 `references\u002Fconcept-cards\u002Fresponsibility-chain.md`，并联读 `v5-responsibility-intervention-separation-pack`。\n- 证据成本 \u002F 弱信号 \u002F AI 合规材料：读 `references\u002Fconcept-cards\u002Fevidence-cost.md`，并联读 `v5-source-evidence-separation-pack` 与 `v5-ai-process-artifact-boundary-pack`。\n- 机制候选：读 `references\u002Fconcept-cards\u002Fmechanism-candidates.md`，并过七闸。\n- 判断档位：读 `references\u002Fconcept-cards\u002Fjudgment-grades.md`，并联读 `v5-evidence-downgrade-action-ceiling-pack`。\n- 退出转移：读 `references\u002Fconcept-cards\u002Fexit-transfer.md`，并联读 `v5-action-healing-transfer-pack`。\n- 修复副产品 \u002F 伪修复：读 `references\u002Fconcept-cards\u002Frepair-byproduct.md`，并联读 `v5-action-healing-transfer-pack`。\n- 生命周期 \u002F 阶段：读 `protocols\u002Flifecycle-diagnosis-protocol.md`，并联读 `v5-state-coordinate-lifecycle-pack`。\n- 框架治理 \u002F 证伪 \u002F 良性消亡：读 `references\u002Fconcept-cards\u002Fframework-governance-falsification.md`，并联读 `v5-framework-self-diagnosis-falsification-pack`。\n- 无法退出主体 \u002F 复杂创伤 \u002F 无健康基准：读 `references\u002Fconcept-cards\u002Ftrapped-subject-trauma-baseline.md`，并联读 `v5-love-trapped-trauma-pack`。\n- 隐喻漂移 \u002F 来源透明 \u002F 规范性前提：读 `references\u002Fconcept-cards\u002Fmetaphor-source-transparency.md`，并联读 `v5-domain-translation-normative-source-pack`。\n- 使用门槛债 \u002F 工具化 \u002F 分裂协议：读 `references\u002Fconcept-cards\u002Faccessibility-toolization-split.md`，并联读 `v5-toolization-accessibility-release-pack`。\n- 观测收束 \u002F 熵增边界：读 `references\u002Fconcept-cards\u002Fobservation-entropy-contraction.md`，并联读 `v5-observation-reflexivity-release-pack`。\n\n## 最低合格标准\n\n一次合格的 CrossFrame 输出必须能回答：\n\n- 我们到底在诊断什么对象？\n- 哪些是来源，哪些是事实，哪些只是解释？\n- 当前处在哪个尺度窗口？\n- 七闸中哪一闸通过、哪一闸导致降级？\n- 至少有哪些机制候选？\n- 是否需要命题验证、强判断八件套、高反身性处理、亲密关系轻量入口、疗愈转移或公共制度专项？\n- 谁在承担成本，谁有改变条件？\n- 本次判断依赖哪些高风险概念，是否读取了完整概念卡和 v5 连读包？\n- 这个判断能被什么证据撤回？\n- 下一步是观察、修复、试探行动，还是退出转移？\n- 生命周期判断是否写成了局部状态坐标，而不是线性宿命？\n- 本次是否触发 v5 连续联读包，是否避免了只读孤立概念卡？\n- 是否生成 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