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/GEMINI.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/instructions/xi-kari/crossframe-skill/gemini-md)<a href="https://agentmods.dev/instructions/xi-kari/crossframe-skill/gemini-md"><img src="https://agentmods.dev/badge/instructions/xi-kari/crossframe-skill/gemini-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/xi-kari/crossframe-skill/gemini-md"><img src="https://agentmods.dev/badge/instructions/xi-kari/crossframe-skill/gemini-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.02357 | $0.02357 |
| Opus 5.5 | $0.00943 | $0.00943 |
| Sonnet 5.5 | $0.00471 | $0.00471 |
| Haiku 4.5 | $0.00236 | $0.00236 |
Grade A, and why
crossframe-skill GEMINI.md 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 1mo 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.
This is a copy
94% identical to crossframe-skill AGENTS.md — 242 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini CLI 适配入口
@AGENTS.md
本文件是 Gemini CLI 的仓库级上下文入口。
CrossFrame skills 在 Gemini CLI 中也是显式调用 only。不要因为普通分析、写作、评论、组织修复、读书、辩论或评审任务自动触发 CrossFrame。只有用户明确点名 crossframe-suite、crossframe、某个 crossframe-*,或明确说“用 CrossFrame / 用跨尺度结构诊断框架”时才进入本文件下面的 CrossFrame 路由。
如果用户显式调用 crossframe-suite,并要求一个复杂任务需要多个 CrossFrame skill 连续协作,先读取:
skills/crossframe-suite/SKILL.mdskills/crossframe-suite/references/workflow-routing-map.mdskills/crossframe-suite/protocols/suite-dispatch-protocol.md
常见链路:普通文章 crossframe -> crossframe-essay -> crossframe-review;公共评论 crossframe -> crossframe-public -> crossframe-essay -> crossframe-review;组织复盘文章 crossframe -> crossframe-org -> crossframe-essay -> crossframe-review;历史研究 crossframe -> crossframe-history -> crossframe-essay(full-visible-v5-longform) -> crossframe-review;答读者问 crossframe -> crossframe-dialogue -> crossframe-essay(full-visible-v5-longform) -> crossframe-review;读书研究 crossframe -> crossframe-notebook -> crossframe-essay(full-visible-v5-longform) -> crossframe-review;完成后追问 crossframe -> crossframe-review(lite) -> crossframe-inquiry。不要一次读取全部 skill。
显式调用后优先考虑 crossframe-suite。suite 内部按 routing map 联合读取 sibling skills 不算被动触发。只要用户从 suite 总入口进入任何 CrossFrame 内容任务,默认先完成必要专项 skill,再追加 crossframe-essay -> crossframe-review,输出 full-visible-v5-longform,包含完整可见底稿和完整长文正文。只有用户明确说“只要/不要文章/短答/表格/清单/纯诊断/仅行动方案”时,才关闭默认文章层。
完整链路已经完成分析、成文和 review 后,下一轮实质输入默认进入 crossframe-inquiry;纯致谢、确认收到或结束语(如“谢谢”“好的”“明白了”“先这样”)只轻量收束,不自动展开追问。
如果用户显式调用 crossframe-max、/crossframe-max、$crossframe-max,或要求最大算力、全尺度穷尽推演、不设字数限制完整解释,请读取 skills/crossframe-max/SKILL.md。这是独立模式,不走 crossframe-suite 的 2+1 模式/角色选择器,也不走普通文章类型选择器;它把一件事当作局部世界来建模,展开世界观、运行规律、问题结构、处理路径和演化分支。
CrossFrame ProMax 是 v8-only 的 exact-name only 独立 skill:仅在用户精确点名 crossframe-promax、CrossFrame ProMax、$crossframe-promax 或 /crossframe-promax 时读取 skills/crossframe-promax/SKILL.md。Max 与 ProMax 同时出现时 ProMax 优先;泛化最大化请求仍由 Max;suite 不得自动升级;ProMax 使用独立审计,不串联 review,也不得降级回 Max。
如果用户显式调用 crossframe-essay 或经 crossframe-suite 路由到写作,并要求写中文文章、长文、评论、思想文章、批判性洞察文章或结构洞察文章,请读取:
skills/crossframe-essay/SKILL.mdskills/crossframe/SKILL.mdskills/crossframe/references/read-routing-map.md- 对应
skills/crossframe/protocols/文件 - 高责任、公共制度、亲密关系、长期演化、深度分析和文章输出,优先读取
skills/crossframe/references/runtime-read-policy.md与skills/crossframe/references/continuity-closure-map.md;需要展开源结构时再按需读取skills/crossframe/references/continuity-bundles.md、skills/crossframe/references/v5-source-spine.md与skills/crossframe/references/v5-section-digest-index.md skills/crossframe-essay/references/evidence-and-search-rules.md- 若需要概念上升、引经据典、理论参照或文学互文,读取
skills/crossframe-essay/protocols/concept-elevation-protocol.md、skills/crossframe-essay/references/reference-and-allusion-rules.md、skills/crossframe-essay/references/concept-reference-map.md - 自动成文默认读取
skills/crossframe-essay/protocols/editorial-comrade-voice-protocol.md与skills/crossframe-essay/references/editorial-voice-principles.md;只有显式中性报告/备忘录/表格/纯诊断时关闭 skills/crossframe-essay/protocols/essay-protocol.md或interactive-drafting-protocol.mdskills/crossframe-essay/templates/insight-dossier-template.mdskills/crossframe-essay/templates/essay-output-template.md或interactive-session-template.md
文章输出默认先给完整可见 结构洞察底稿,再给完整长文 文章正文。公共议题、最新事实、真实组织/平台/人物/政策/公司相关内容必须查源;私人关系、哲学概念和泛论随笔默认不查源,除非用户要求。直接引用必须可核验;不确定原句时只做意译或思想映射;经典/理论参照必须回到现实机制与责任链。现代编辑底色是默认前台表达:亲切但不和稀泥,果敢但不人格审判。
如果用户显式调用 crossframe 或经 crossframe-suite 路由到结构诊断、推演、开放断言、高责任审查或低条件行动,请读取:
skills/crossframe/SKILL.mdskills/crossframe/references/read-routing-map.md- 对应
skills/crossframe/protocols/文件 skills/crossframe/templates/reasoning-outline-output.mdskills/crossframe/templates/user-facing-language.md- 若使用高风险概念,读取
skills/crossframe/references/concept-cards/README.md与对应概念卡 - 高责任、公共制度、亲密关系、长期演化、深度分析和文章输出,优先读取
skills/crossframe/references/runtime-read-policy.md与skills/crossframe/references/continuity-closure-map.md;需要展开源结构时再按需读取skills/crossframe/references/continuity-bundles.md、skills/crossframe/references/v5-source-spine.md与skills/crossframe/references/v5-section-digest-index.md - 输出前用
skills/crossframe/references/runtime-read-policy.md、skills/crossframe/references/read-routing-map.md和skills/crossframe/references/continuity-closure-map.md做轻量闭包检查;需要审计时再展开skills/crossframe/worksheets/concept-fidelity-check.md和skills/crossframe/worksheets/source-continuity-check.md
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.
- 1mo ago First seen · 77 lines · 2,357 tokens per session scan A 4c9c10fe7b47
crossframe-skill GEMINI.md is an instructions file published in the GitHub repository xi-kari/crossframe-skill (18 stars, last pushed 2mo ago), licensed MIT. It adds 2,357 tokens to every session, about $0.0094 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to crossframe-skill AGENTS.md, differing in 242 lines, and is treated as a copy.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
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