Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Zhangs-11/zs-skills --skill kakarot-visual-explainergit clone --depth 1 https://github.com/Zhangs-11/zs-skillsWrote 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/zhangs-11/zs-skills/kakarot-visual-explainer)<a href="https://agentmods.dev/skills/zhangs-11/zs-skills/kakarot-visual-explainer"><img src="https://agentmods.dev/badge/skills/zhangs-11/zs-skills/kakarot-visual-explainer/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/skills/zhangs-11/zs-skills/kakarot-visual-explainer"><img src="https://agentmods.dev/badge/skills/zhangs-11/zs-skills/kakarot-visual-explainer.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 | $0.00068 | $0.01655 |
| Opus 5.5 | $0.00027 | $0.00662 |
| Sonnet 5.5 | $0.00014 | $0.00331 |
| Haiku 4.5 | $0.00007 | $0.00166 |
Grade A, and why
kakarot-visual-explainer 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 23d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kakarot Visual Explainer:把复杂解释做成一页可读的 HTML
这个 Skill 用于把复杂回答和技术文章选题整理成一页可读的视觉讲解页。模型负责事实、结构和文字,浏览器或 HTML 工具负责展示。页面服务于理解,不能替代事实核查、代码验证或用户确认。
它吸收了几个成熟视觉 Skill 的共同做法:首屏先给图和一句结论;默认生成离线单文件;交互必须回答一个具体问题;图形只保留承载核心关系的最少元素;渲染后必须在浏览器中检查实际页面。
什么时候生成页面
满足任一条件时生成页面:
- 有三个以上相互关联的概念,需要同时看到关系。
- 有流程、调用链、协议、状态迁移或多个参与者。
- 有三个以上维度的方案比较,或存在明确取舍。
- 有目录、模块、分类等层级结构,或有按时间展开的阶段。
- 用户明确说“画图”“可视化”“用 HTML 讲”“做成网页”或“我没看懂”。
以下情况直接用普通文字:
- 一两句话就能准确回答的问题。
- 用户只要命令、补丁、代码或纯文字。
- 没有可靠数据支撑的图表。此时先说明缺少数据,不能用模型臆造数字。
执行流程
- 先读完用户给出的文章、代码、数据或差异,再写一句结论。没有读完来源时,不先设计页面。
- 列出页面要回答的三至八个子问题。每个子问题只对应一个面板,删除不影响结论的元素。
- 选择最能表达信息关系的结构:流程用 Mermaid
flowchart,消息往来用sequenceDiagram,层级用缩进树,历史用时间线,多维比较用 Markdown 表格,关键判断用醒目的结论卡片。 - 先检查事实、来源和范围。把“已验证”“来自用户材料”“推断”分开写。没有证据的数字改成定性描述或删掉。
- 生成单文件 HTML。页面至少包含标题、首屏结论、主要图形、证据或过程、限制条件和来源。优先使用内联 CSS、JavaScript 与 SVG,避免外部 CDN、远程字体、运行时
fetch和必须启动的服务。 - 只有在交互能回答明确问题时才加入交互。例如点击节点显示对应证据、切换前后状态、调整一个参数后立即更新结果。静态默认状态必须完整表达结论,读者不能依赖点击才能看懂核心内容。
- 打开页面或用浏览器预览,检查窄屏宽度、图中文字、长标题、链接、键盘焦点、颜色对比度和暗色背景。发现文字溢出、连线遮挡或结构不清时,先删减元素或改稿,再改样式。
- 回复时只给核心结论和页面绝对路径。用户要求文章时,再附可直接粘贴到正文的文字版;不要把整份 HTML 贴回对话。
页面结构
推荐使用下面的顺序:
- 结论卡片:回答用户最关心的问题,限定结论适用范围。
- 关系图或流程图:展示对象、动作和方向。每条连线写清动作,不只写名词。
- 关键证据:放原始数据、代码入口、来源链接或用户提供的事实。
- 比较与取舍:用表格展示维度、适用条件和代价;状态列只使用明确的“支持、受限、未知”。
- 边界与下一步:写明未验证项、失败条件和读者可以执行的下一步。
页面可以使用 Mermaid,但必须同时保留关键关系的文字说明。Mermaid 无法渲染时,读者仍能从文字和表格理解结论。
图形先于装饰。结构图、时间线和关系图通常只保留五至七个关键元素;超过这个数量时先拆分或改成分步视图。每个节点都要有来源或作用,不能只为了填满画布增加节点。渲染工具无法目视检查时,至少用浏览器截图或可访问性树检查实际输出,不能只凭源代码判断页面正确。
页面模式按任务选择:
- 讲解页:默认模式,适合概念、机制和文章内容,使用首屏图形加滚动正文。
- 评审页:适合 PR、计划、架构或事故复盘,增加“当前状态、目标状态、差异和风险”四块内容。
- 数据页:只有输入包含真实数据时使用图表或指标卡,并标注时间、单位和数据源。
- 演示页:只有用户明确要演示或幻灯片时使用分页和大字号,不能把默认讲解页强行改成演示文稿。
文字和视觉规则
- 页面语言跟随用户语言;中文页面使用
lang="zh-CN"。 - 每个面板只回答一个问题。把长段落拆成短段落或列表。
- 同一对象全文使用同一个名称。首次出现的陌生术语用一句话解释。
- 用具体动词写清模型、程序、工具和用户各自做什么。
- 颜色只表达一种语义:绿色表示已确认,黄色表示受限或待核验,红色表示错误或阻断。
- 文字和背景保持足够对比度。移动端单列显示,图表允许横向滚动。
- 不使用动画掩盖信息,不加入与当前问题无关的装饰、统计数字或营销文案。
- 默认把生成文件写入当前任务的
outputs/或用户指定目录。不要自行上传、发布或创建公开链接。
What ships with it
1 file 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.
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.
- 23d ago First seen · 87 lines · 68 tokens per session scan A b351b10c6573
kakarot-visual-explainer is a skill published in the GitHub repository Zhangs-11/zs-skills (2 stars, last pushed yesterday), licensed MIT. It adds 68 tokens to every session and 1,655 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-04.
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