Borrowing it
Nothing to install: this file belongs to xi-kari/crossframe-skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/xi-kari/crossframe-skill/main/.claude/skills/crossframe-inquiry/SKILL.mdgit clone --depth 1 https://github.com/xi-kari/crossframe-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/xi-kari/crossframe-skill/crossframe-inquiry)<a href="https://agentmods.dev/skills/xi-kari/crossframe-skill/crossframe-inquiry"><img src="https://agentmods.dev/badge/skills/xi-kari/crossframe-skill/crossframe-inquiry.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00070 | $0.02283 |
| Opus 5 | $0.00035 | $0.01141 |
| Sonnet 5 | $0.00014 | $0.00457 |
| Haiku 4.5 | $0.00007 | $0.00228 |
Grade A, and why
crossframe-inquiry scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CrossFrame Inquiry / 结构追问层
定位
本 skill 负责把已经完成的 CrossFrame 分析转化为可继续思考的追问路径。
它不是新的诊断层,不重新生成正文,不替代 crossframe-review,也不把用户带向预设结论。它只从已完成的 claim ledger、mechanism_candidates、证据缺口、concept_contracts 和 review 结果中,选择最值得继续思考的 3-5 个主追问点,并可附加最多 2 个可选深挖问题。
启动条件
不在普通任务中隐式启动;只在以下条件下启动:
- 上一轮
crossframe-suite已完成crossframe -> ... -> crossframe-essay -> crossframe-review,并写入post_completion_inquiry_armed=true;此后完成态后续输入默认进入本 skill。 - 用户显式调用
/crossframe-inquiry、crossframe-inquiry,且当前上下文已有 CrossFrame 输出、文章、review、claim ledger 或机制候选可供追问。 - 用户在 CrossFrame 输出后问“继续追问我”“我该继续想什么”“帮我继续思考”“更深一点”“下一步怎么分析”。
- 用户反对结论、要求反证、补证、迁移到另一个案例、行动边界或自我定位。
- review 后仍有未闭合 claim、证据缺口、概念契约 partial/fail、正文强度风险或可迁移问题。
- 教学、读书、历史、组织、公共、关系、案例等任务需要继续展开思考,而不是再写一篇文章。
不得在用户只要求最终答案、短答、翻译、格式化、纯改写时启动。
完成态后续输入接管
当 crossframe-suite 完整链路已经完成,且上一轮状态包含 post_completion_inquiry_armed=true 时,后续实质用户输入不再按普通新任务理解,而是先按“对上一轮输出的继续追问”处理。用户无论是说“嗯”“展开一下”“那我呢”“这能行动吗”“不太同意”“换个角度”“继续”“所以呢”,都默认进入本 skill。
纯致谢、确认收到、结束语或无内容回应(如“谢谢”“好的”“明白了”“先这样”)不自动展开 inquiry;只轻量收束或结束本轮。若用户随后再次提出与上一轮相关的问题,再重新触发 inquiry。
本 skill 必须主动回收上一轮 claim ledger、机制候选、概念契约、结构洞察底稿、文章正文和 review 结果,建立上游上下文索引,再判断当前输入属于反证、补证、迁移、行动边界、自我定位、概念保真或收束。不得重新启动默认 essay,不得把后续输入当作孤立短答。
只有用户明确说“新任务 / 换主题 / 退出追问 / 不接着上文 / 不要用刚才那套分析”时,才解除 post_completion_inquiry_armed,回到 suite 普通路由。
输入依赖
优先复用上游材料,不重新发明判断:
post_completion_inquiry_armed状态v5-read-state-capsuleclaim ledgermechanism_candidatessource ledgerconcept_contractscrossframe-review结果- 文章正文或结构洞察底稿
- 用户刚表达的困惑、反对、兴趣点或选择
必要时,本 skill 可以启动 sibling_knowledge_retrieval:把其它 CrossFrame sibling skill 的协议、references 和 templates 当作知识库检索来源,用于补充追问对象、边界条件和问题类型。
若上游缺少 claim ledger,本 skill 不补完整诊断,只能生成轻量追问,并提醒需要先回到 crossframe 补台账。
Sibling 知识库检索
crossframe-inquiry 允许定向读取 sibling skill,但只用于“找该问什么”和“补足追问边界”,不用于替 sibling skill 下新结论。
可检索来源包括:
crossframe:概念卡、诊断协议、七闸、claim ledger、源锚点与连续联读包。crossframe-org:组织迁移、责任链、授权链、反馈写回、低风险试点边界。crossframe-public:公共事实、平台治理、证据阶梯、机构合规、风险语言边界。crossframe-history:历史史料档位、史料台账、历史因果降级、历史接口边界。crossframe-notebook:外部文本吸收、关联/不同、可吸收处与冲突处。crossframe-debate:命题反证、最强反方、隐藏前提。crossframe-dialogue:读者回应、自我定位、短答复中的承接边界。crossframe-teach:概念解释、误读纠偏、微练习。crossframe-casebook:案例复用、脱敏事实边界、机制沉淀。crossframe-critical:批判矩阵、例子与点睛句的 claim_id 绑定边界。
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 1.1 KB
- evals/crossframe-inquiry-smoke-tests.md 3.5 KB
- protocols/inquiry-protocol.md 6.5 KB
- references/inquiry-boundaries.md 2.0 KB
- references/question-taxonomy.md 1.9 KB
- templates/deeper-question-set.md 1014 B
- templates/inquiry-panel.md 1.9 KB
- templates/inquiry-state.md 1.2 KB
- templates/knowledge-retrieval-log.md 1.1 KB
- templates/user-answer-digest.md 620 B
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 135 lines · 70 tokens per session scan A 7d1137566f55
crossframe-inquiry is a skill published in the GitHub repository xi-kari/crossframe-skill (18 stars, last pushed 1mo ago), licensed MIT. It adds 70 tokens to every session and 2,283 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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