No Explicit Any
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing TypeScript files for type safety regressions, during code review of functions that handle external data, or when the codebase has ESLint warnings for…
A skill your agent uses 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…
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Install Crossframe
$ npx skills add sickn33/agentic-awesome-skills --skill crossframe -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills crossframe --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/crossframe .claude/skills/crossframe && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "crossframe" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/crossframe into .claude/skills/crossframe/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crossframe", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/crossframeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill crossframe -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills crossframe --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/crossframe .agents/skills/crossframe && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "crossframe" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/crossframe into .agents/skills/crossframe/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crossframe", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill crossframe -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills crossframe --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/crossframe .cursor/skills/crossframe && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "crossframe" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/crossframe into .cursor/skills/crossframe/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crossframe", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/crossframe--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill crossframe -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills crossframe --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/crossframe .gemini/skills/crossframe && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "crossframe" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/crossframe into .gemini/skills/crossframe/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crossframe", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills crossframeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill crossframe -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/crossframe .github/skills/crossframe && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "crossframe" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/crossframe into .github/skills/crossframe/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crossframe", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill crossframe -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills crossframe --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/crossframe .opencode/skills/crossframe && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "crossframe" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/crossframe into .opencode/skills/crossframe/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crossframe", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
crossframe- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~3.2k tokens
- SKILL.md length
- 521 words
- Files
- 180 (incl. references)
- Skills in repo
- 1,394
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses 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…
- Works in 12 steps: 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… → 读取… → 先定位 v5 source modules，不全量打开大文件。默认只记录需要的… → …
- The user explicitly invokes CrossFrame
- SKILL.md covers When to Use This Skill, Packaged Source Note, Limitations and 语言原则, plus 9 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Crossframe is an agent skill from sickn33/agentic-awesome-skills. 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.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 182 other files, including reference files (for example `agents/openai.yaml`, `evals/crossframe-smoke-tests.md` and `examples/ai-compliance-case.md`).
The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
When your agent uses it
- The user explicitly invokes CrossFrame
- 跨尺度结构诊断 for Chinese-canonical structural diagnosis of complex relationships
- Public disputes
- Long-term evolution
Example prompts
- “/crossframe”
Workflow steps
12 steps, taken from the first numbered list in SKILL.md.
- 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/状态坐标、递进闭环、势场/自主解离、治理连续性、框架治理与证伪、AI…
- 读取 references/runtime-read-policy.md、references/read-routing-map.md 和必要时 references/v5-material-selection-map.md，确定本次需要加载的 v5 source…
- 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…
- 读取 references/continuity-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/continuity-bundles.md 和对应…
- 按 templates/read-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…
- 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。
- 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。
- 形成至少两个机制候选；除非证据足以说明只有一个机制。
- 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/concept-fidelity-check.md 做保真检查。
- 用 worksheets/source-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。
- 用 worksheets/source-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 / 表达转译 / 外部思想映射”，不得写成 CrossFrame v5 原义。
- 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。
What it can do on your machine
Read from SKILL.md and the folder at commit 1e53ce2. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Crossframe loads about 3.2k tokens when it runs, and up to ~287k if it reads all its reference files. Until then it costs about 52 tokens; SKILL.md has 521 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 521 words, ~3,192 tokens.
Download SKILL.mdSave it as
.claude/skills/crossframe/SKILL.md (or your agent's skills folder). This skill also uses 179 other files; get the full folder from GitHub.- name
- crossframe
- description
- 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.
- category
- workflow
- risk
- safe
- source
- community
- source_repo
- xi-kari/crossframe-skill
- source_type
- community
- date_added
- 2026-06-16
- author
- xi-kari
- license
- MIT
- license_source
- https://github.com/xi-kari/crossframe-skill/blob/main/LICENSE
- tools
- Agent Skills, Codex, Claude
CrossFrame
When to Use This Skill
- Use only when the user explicitly names CrossFrame,
crossframe,/crossframe,$crossframe, or 跨尺度结构诊断. - Use for Chinese-canonical structural diagnosis where facts, scale, evidence, responsibility, mechanisms, and action limits must be separated.
- Do not use passively for ordinary analysis, writing, relationship advice, public commentary, philosophy, or long-term forecasting.
Packaged Source Note
This 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.
Limitations
- The skill body is intentionally Chinese-canonical; English metadata is for discovery and does not replace the original Chinese terms.
- Use only after explicit CrossFrame invocation or
crossframe-suiterouting; do not apply it as a generic default reasoning layer. - It structures analysis, drafting, and review, but does not replace source verification, domain expertise, or legal, medical, or financial judgment.
如果用户任务需要多个 CrossFrame 平行 skill 连续协作，先读取 ../crossframe-suite/SKILL.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。
语言原则
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。
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。
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。
核心定位
CrossFrame 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。
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。
必须执行的顺序
- 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/状态坐标、递进闭环、势场/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/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/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。
- 读取
references/runtime-read-policy.md、references/read-routing-map.md和必要时references/v5-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。 - 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/v5-source-spine.md、references/v5-section-digest-index.md、references/v5-coverage-map.md或references/v5-term-fidelity.md的相关局部。 - 读取
references/continuity-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/continuity-bundles.md和对应references/continuity-bundles/v5/<bundle-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。 - 按
templates/read-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。 - 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。
- 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。
- 形成至少两个机制候选；除非证据足以说明只有一个机制。
- 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/concept-fidelity-check.md做保真检查。 - 用
worksheets/source-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。 - 用
worksheets/source-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 / 表达转译 / 外部思想映射”，不得写成 CrossFrame v5 原义。 - 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。
- 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。
读取规则
- 默认遵守
references/runtime-read-policy.md：不读取evals/、examples/、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。 - 普通诊断：读
protocols/diagnosis-protocol.md，并使用worksheets/intake-worksheet.md、worksheets/seven-gates-worksheet.md、worksheets/evidence-ledger.md、worksheets/mechanism-candidates.md。 - 推演、后续走向、路径展开、分支终点：读
protocols/inference-protocol.md和templates/inference-output.md，并按需追加状态坐标、长期演化、治理连续性包。 - 低到中等把握的判断：读
protocols/open-assertion-protocol.md、worksheets/open-assertion-record.md、templates/open-assertion-output.md和v5-open-assertion-proposition-pack。 - 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/anti-capture-protocol.md、worksheets/high-responsibility-check.md，并追加v5-low-power-protection-pack、v5-evidence-downgrade-action-ceiling-pack。 - 影响资格、名誉、资源、权利、处置、公共记忆的强判断：读
protocols/proposition-verification-protocol.md、worksheets/proposition-verification.md、worksheets/prospective-registration.md、templates/strong-judgment-output.md，并追加v5-strong-judgment-eight-pack。 - 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。 - 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/high-reflexivity-protocol.md、worksheets/reflexivity-state-transfer.md、templates/high-reflexivity-output.md和v5-observation-reflexivity-release-pack。 - 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/intimate-relationship-protocol.md、worksheets/intimate-relationship-light-check.md、templates/intimate-relationship-output.md，并先读v5-love-trapped-trauma-pack和v5-low-power-protection-pack。 - 系统停滞、创伤、修复、退出转移和重建场景：读
protocols/healing-transfer-protocol.md、worksheets/healing-transfer-map.md、templates/healing-transfer-output.md和v5-action-healing-transfer-pack。 - 公共制度、平台治理、公共承诺和高权力密度公共议题：读
protocols/public-institution-protocol.md、worksheets/public-institution-check.md、templates/public-institution-output.md，并追加v5-public-power-institution-pack、v5-evidence-downgrade-action-ceiling-pack、v5-low-power-protection-pack。 - 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/framework-boundary-protocol.md、worksheets/framework-boundary-check.md、references/framework-ontology-protection.md和v5-use-boundary-governance-pack。 - 长期演化、阶段判断、组织/关系/制度周期变化：读
protocols/lifecycle-diagnosis-protocol.md、worksheets/lifecycle-stage-record.md、templates/lifecycle-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。 - 战略推进、长期修复、子锚点闭环、为什么忙但没有积累：读
protocols/progression-protocol.md、worksheets/sub-anchor-progression.md、templates/progression-output.md和v5-long-evolution-progression-field-pack。 - 正负势场、沉积基本盘、自主解离、保护性退出：读
protocols/field-dissociation-protocol.md、worksheets/field-dissociation-check.md和v5-long-evolution-progression-field-pack。 - 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/governance-continuity-protocol.md、worksheets/governance-continuity-check.md、templates/governance-continuity-output.md和v5-governance-continuity-multicenter-pack。 - 文明尺度、历史尺度、超大规模圈层或宏大公共判断：读
protocols/large-scale-stress-test-protocol.md、worksheets/large-scale-stress-test.md、templates/large-scale-stress-output.md，并先降级检查证据和发布门禁。 - 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/expression-translation-protocol.md、references/expression-translation-table.md、templates/expression-translation-output.md和v5-domain-translation-normative-source-pack。 - 概念解释、概念边界、思想解释类问题：读
protocols/concept-explanation-protocol.md、references/concepts-minimal-set.md、references/v5-term-fidelity.md、v5-core-concept-integrity-pack，再按需读必要概念卡。 - 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/framework-boundary-protocol.md。 - 如果最终输出要使用承接/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/开放行动、主体/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。
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输出规则
- 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。
- 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。
- 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”。
- 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。
- 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。
- 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”。
- 永远区分：来源、事实、证据、解释、机制候选、判断档位、行动上限。
- 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。
- 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。
- 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。
- 不得用尺度升维抹掉低尺度痛苦、压力、失职和责任链。
- 不得把“爱”说成命令、正当性证明或单方面忍耐要求。
- 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。
- 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。
- 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。
- 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。
- 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。
- 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。
表达闸
最终输出前，内部检查四问：
- 第一段是否不用术语也能说清问题？
- 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？
- 是否把“承接、回流、尺度、开放断言”等术语翻译成了现实行为？
- 是否给出了一个可观察信号或行动边界？
任一不通过，先重写表达，再输出。
推理提纲
默认输出前置一个简短提纲：
- 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：
- 本次 v5 连续联读包：
- 下一步：
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。
核心资料
references/runtime-read-policy.md：正常运行时的轻量读取策略，控制 eval/examples、完整案例和大 source modules 的默认不读取边界。references/continuity-closure-map.md：v5 连读包闭包的轻量运行时图。references/v5-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。references/v5-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。references/v5-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。references/v5-term-fidelity.md：v5.0 术语保真表，防止压缩失真。references/v5-material-selection-map.md：v5.0 source modules、连读包、协议和模板的选择图。references/continuity-bundles.md：v5.0 连续联读包索引。references/continuity-bundles/v5/：26 个 v5 独立连读包。references/read-routing-map.md：按请求类型选择协议、工作表、概念卡和模板。templates/read-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。references/crossframe-v2-core.md、references/v2-*、references/v3-*：历史基线，仅在版本追踪或回退审计时读取。references/concepts-minimal-set.md：最小概念集。references/framework-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。references/guardrails.md：反误用规则。references/diagnostic-dimensions.md、references/diagnostic-toolbox-index.md：复杂案例按需读取。references/theory-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。references/expression-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。references/concept-cards/：高风险概念卡。worksheets/seven-gates-worksheet.md：七闸复核表。worksheets/source-continuity-check.md：输出前检查是否读少、断章或漏掉原文连续约束。worksheets/source-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。
高风险概念闸
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：
- 承接 / 回流：读
references/concept-cards/chengjie-huiliu.md，并联读v5-core-concept-integrity-pack。 - 开放断言：读
references/concept-cards/open-assertion.md，并联读v5-open-assertion-proposition-pack。 - 尺度转移 / 尺度升维：读
references/concept-cards/scale-transfer.md，并联读v5-cross-scale-context-translation-pack。 - 观测反身性：读
references/concept-cards/reflexivity.md，并联读v5-observation-reflexivity-release-pack。 - 权力封闭 / 反俘获：读
references/concept-cards/power-closure.md，并联读v5-public-power-institution-pack与v5-low-power-protection-pack。 - 低条件试探行动：读
references/concept-cards/low-condition-action.md，并联读v5-diagnosis-admission-downgrade-exit-pack。 - 爱 / 开放行动 / 不浪费爱：读
references/concept-cards/love-open-action.md，并联读v5-love-trapped-trauma-pack。 - 主体 / 责任链：读
references/concept-cards/responsibility-chain.md，并联读v5-responsibility-intervention-separation-pack。 - 证据成本 / 弱信号 / AI 合规材料：读
references/concept-cards/evidence-cost.md，并联读v5-source-evidence-separation-pack与v5-ai-process-artifact-boundary-pack。 - 机制候选：读
references/concept-cards/mechanism-candidates.md，并过七闸。 - 判断档位：读
references/concept-cards/judgment-grades.md，并联读v5-evidence-downgrade-action-ceiling-pack。 - 退出转移：读
references/concept-cards/exit-transfer.md，并联读v5-action-healing-transfer-pack。 - 修复副产品 / 伪修复：读
references/concept-cards/repair-byproduct.md，并联读v5-action-healing-transfer-pack。 - 生命周期 / 阶段：读
protocols/lifecycle-diagnosis-protocol.md，并联读v5-state-coordinate-lifecycle-pack。 - 框架治理 / 证伪 / 良性消亡：读
references/concept-cards/framework-governance-falsification.md，并联读v5-framework-self-diagnosis-falsification-pack。 - 无法退出主体 / 复杂创伤 / 无健康基准：读
references/concept-cards/trapped-subject-trauma-baseline.md，并联读v5-love-trapped-trauma-pack。 - 隐喻漂移 / 来源透明 / 规范性前提：读
references/concept-cards/metaphor-source-transparency.md，并联读v5-domain-translation-normative-source-pack。 - 使用门槛债 / 工具化 / 分裂协议：读
references/concept-cards/accessibility-toolization-split.md，并联读v5-toolization-accessibility-release-pack。 - 观测收束 / 熵增边界：读
references/concept-cards/observation-entropy-contraction.md，并联读v5-observation-reflexivity-release-pack。
最低合格标准
一次合格的 CrossFrame 输出必须能回答：
- 我们到底在诊断什么对象？
- 哪些是来源，哪些是事实，哪些只是解释？
- 当前处在哪个尺度窗口？
- 七闸中哪一闸通过、哪一闸导致降级？
- 至少有哪些机制候选？
- 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？
- 谁在承担成本，谁有改变条件？
- 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？
- 这个判断能被什么证据撤回？
- 下一步是观察、修复、试探行动，还是退出转移？
- 生命周期判断是否写成了局部状态坐标，而不是线性宿命？
- 本次是否触发 v5 连续联读包，是否避免了只读孤立概念卡？
- 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？
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Files
SKILL.md and 179 other files (references) in skills/crossframe of sickn33/agentic-awesome-skills.
- SKILL.md
- agents/openai.yaml
- evals/crossframe-smoke-tests.md
- examples/ai-compliance-case.md
- examples/bad-output-vs-good-output.md
- examples/concept-nihilism-case.md
- examples/exit-transfer-case.md
- examples/expression-translation-case.md
- examples/field-dissociation-case.md
- examples/framework-boundary-case.md
- examples/governance-continuity-case.md
- examples/healing-transfer-route-case.md
- examples/high-reflexivity-case.md
- examples/intimate-relationship-light-case.md
- examples/large-scale-stress-case.md
- examples/life-first-cause-case.md
- examples/lifecycle-stage-case.md
- examples/love-open-action-case.md
- … and 162 more
Open the folder on GitHubat commit 1e53ce2
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Crossframe next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Crossframe this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| No Explicit Anythedaviddias/Front-End-Checklist | 74k | — | ~565 | Automated safety check: Pass | MIT | |
| Chinese Ppt2brycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~5.6k | Automated safety check: Pass | Custom licence | |
| Chinese Commit ConventionsjnMetaCode/superpowers-zh | 8.3k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Fix Chinesebrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~347 | Automated safety check: Pass | Custom licence | |
| Chinese Documentation Style GuidejnMetaCode/superpowers-zh | 8.3k | — | ~1.6k | Automated safety check: Pass | MIT |
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Chinese Ppt2
brycewang-stanford/Auto-Empirical-Research-Skills
Upgrade of chinese-ppt for Chinese Beamer decks (xelatex + ctex + fandol, CUFE template).
Chinese Commit Conventions
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Reference for Chinese-language git commits and changelogs: Conventional Commits adapted for Chinese teams, with templates, breaking-change notes and issue links for several platforms.
Fix Chinese
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PROACTIVE SKILL — automatically apply whenever writing, generating, or editing any text that is mainly in Chinese.
Chinese Documentation Style Guide
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Reference rules for typesetting Chinese technical documents: spacing around English and digits, punctuation, term handling, bilingual API docs and README layout.
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Questions about Crossframe
What does Crossframe do?
A skill your agent uses 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…. Crossframe is an agent skill from sickn33/agentic-awesome-skills. 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.
When should I use Crossframe?
Crossframe fits situations like: the user explicitly invokes CrossFrame; 跨尺度结构诊断 for Chinese-canonical structural diagnosis of complex relationships; public disputes; long-term evolution.
How do I install Crossframe in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill crossframe -a claude-code`. Or copy the skill folder (skills/crossframe in sickn33/agentic-awesome-skills) into .claude/skills/crossframe in your project. Claude Code loads it when a task matches its description.
How do I install Crossframe in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill crossframe -a codex`. Or copy the skill folder (skills/crossframe in sickn33/agentic-awesome-skills) into .agents/skills/crossframe in your project. Codex loads it when a task matches its description.
Can I use Crossframe in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill crossframe -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/crossframe, .gemini/skills/crossframe, .github/skills/crossframe and .opencode/skills/crossframe in your project.
What does Crossframe need to run?
SKILL.md names no scripts, command-line tools or credentials: Crossframe is instructions for the agent only.
Does Crossframe access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Crossframe safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Crossframe use?
Crossframe is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Crossframe use?
About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 284k tokens, read only when the agent opens those files.
What are the alternatives to Crossframe?
Skills that share tags, products or a category with Crossframe: No Explicit Any (thedaviddias/Front-End-Checklist, 74k stars), Chinese Ppt2 (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Chinese Commit Conventions (jnMetaCode/superpowers-zh, 8.3k stars) and Fix Chinese (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Crossframe?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.