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/commands/crossframe-explain.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/commands/xi-kari/crossframe-skill/crossframe-explain)<a href="https://agentmods.dev/commands/xi-kari/crossframe-skill/crossframe-explain"><img src="https://agentmods.dev/badge/commands/xi-kari/crossframe-skill/crossframe-explain/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/commands/xi-kari/crossframe-skill/crossframe-explain"><img src="https://agentmods.dev/badge/commands/xi-kari/crossframe-skill/crossframe-explain.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 | $0.00000 | $0.00354 |
| Opus 5.5 | $0.00000 | $0.00142 |
| Sonnet 5.5 | $0.00000 | $0.00071 |
| Haiku 4.5 | $0.00000 | $0.00035 |
Grade A, and why
crossframe-explain 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
81% identical to crossframe-audit — 17 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.
What it actually says
/crossframe-explain
使用 CrossFrame 解释一个概念、思想、现象或术语边界。适合“解释虚无主义”“某概念怎么看”“这个说法在 CrossFrame 里是什么意思”。
执行要求：
- 读取
skills/crossframe/SKILL.md。 - 读取
skills/crossframe/protocols/concept-explanation-protocol.md。 - 读取
skills/crossframe/references/read-routing-map.md与skills/crossframe/references/v5-term-fidelity.md。 - 如果涉及高风险概念，读取对应
skills/crossframe/references/concept-cards/。 - 概念解释需要深度或涉及 v5.0 高风险概念时，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与skills/crossframe/references/v5-section-digest-index.md。 - 输出顺序：推理提纲 -> 人话解释 -> CrossFrame 映射 -> 误读边界 -> 可观察现实信号 -> 可展开诊断入口。
- 不要写成百科解释，也不要把概念直接用于人格诊断。
- 对第一因、生命是什么、虚无主义、存在意义等哲学/意义类问题，先做尺度拆分并给结构性开放断言；只有完全无法结构化时才退回框架边界。
用户输入：
$ARGUMENTS
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 · 19 lines · 0 tokens per session scan A 8b69f03424c0
crossframe-explain is a command published in the GitHub repository xi-kari/crossframe-skill (18 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 354 tokens. A static security scan graded it A with 0 findings. It is 81% identical to crossframe-audit, differing in 17 lines, and is treated as a copy.
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