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 galiacheng/mindmap-skills --skill mindmap-zhgit clone --depth 1 https://github.com/galiacheng/mindmap-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/galiacheng/mindmap-skills/mindmap-zh)<a href="https://agentmods.dev/skills/galiacheng/mindmap-skills/mindmap-zh"><img src="https://agentmods.dev/badge/skills/galiacheng/mindmap-skills/mindmap-zh/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/galiacheng/mindmap-skills/mindmap-zh"><img src="https://agentmods.dev/badge/skills/galiacheng/mindmap-skills/mindmap-zh.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 | $0.00032 | $0.01915 |
| Opus 5 | $0.00016 | $0.00958 |
| Sonnet 5 | $0.00006 | $0.00383 |
| Haiku 4.5 | $0.00003 | $0.00192 |
Grade A, and why
mindmap-zh 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 9d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
思维导图技能 — 生成可交互的 Markmap
触发方式
/mindmap-zh <输入> [--render] [--output <路径>]
<输入> 为以下之一：
- 文件路径 — 读取该文件并生成导图
- URL（
http://或https://）— 抓取页面内容并生成导图 - 粘贴的文本 / 笔记 — 直接对文本生成导图
- 一个简短的主题 — 基于模型自身知识生成导图
参数：
--render— 写出.md后，额外生成一个独立的可交互.html--output <路径>— 将.md写到指定路径，而非默认路径
跨平台说明： 本技能使用 Claude Code 的工具名（
Read、Write、Glob、Bash、WebFetch）。在 GitHub Copilot CLI 上请使用对应工具（view、create、glob、bash、web_fetch）——见references/copilot-tools.md。两个平台上的工作流完全一致。
工作流
第 1 步：判定输入类型
先去除参数，再对剩余部分分类并加载内容：
- 若是 URL（以
http://或https://开头），用 WebFetch 抓取（要求其返回页面正文）。抓取到的内容即为内容。优先判断此项，先于文件/文本/主题规则。 - 否则，若是一个已存在文件的路径，用 Read 读取。其内容即为内容。
- 否则，若是较长或多行的文本（大致 > 12 个词，或包含换行），按原始文本处理。该文本即为内容。
- 否则按主题处理：基于模型自身知识生成内容。
遇到以下情况，停下来询问用户（切勿擅自猜测）：
- URL 抓取失败（网络错误、被拦截、或页面为空）→ 报告情况并询问：是否改为基于自身知识对该页面主题生成导图，或换一个 URL？不要凭空编造页面内容。
- 看起来像文件路径（以
.md/.txt结尾，或包含/或\）但文件不存在 → 报告未找到文件：<路径>，并询问：改为按主题生成，还是修正路径？ - 输入为空或仅有空白字符 → 请用户提供内容或主题。
- 输入确实有歧义（一个既可能是文本、也可能是主题的短语）→ 默认按主题生成，并用一句话说明你的假设，以便用户纠正。
第 2 步：构建层级结构（混合策略）
将内容转化为节点层级：
- 若内容本身已有结构（清晰的标题 / 项目符号大纲）：沿用其大纲，但把每个节点压缩为简短短语（≤ 约 8 个字词）。不要逐句照抄。
- 若内容是无结构的文本或一个主题：提取关键概念，归纳为 4–7 个主分支，每个分支配简洁的子要点。
规则：
- 深度： 目标 3–4 层。
- 用短语而非句子： 每个节点都是简短标签。
- 可读性优先于完整性： 对篇幅很大的来源，映射其结构与要点——而非每一行。对无结构/主题/大型来源，目标 4–7 个主分支；当来源本身已有结构时，则沿用其自身大纲。大胆精简。
第 3 步：写出 Markmap .md
按下文 Markmap 格式 所示的样式写出文件。
输出路径：
- 文件输入
foo.md→foo.mindmap.md（同目录）。 - URL 输入 → 取页面标题的 slug（或 URL 最后一段路径）→ 当前目录下的
<slug>.mindmap.md。 - 文本输入 → 取导图 H1 标题的 slug → 当前目录下的
<slug>.mindmap.md（slug 规则同主题）。 - 主题输入 → 当前目录下的
<主题-slug>.mindmap.md（slug = 小写，空格 →-）。 --output <路径>覆盖默认路径，按所给值写出。- 写入前，用 Glob 检查目标是否已存在。 若已存在，在
.mindmap.md前插入计数 —<名称>-2.mindmap.md、再<名称>-3.mindmap.md……取第一个未被占用的名称。显式--output路径同样适用此后缀规则。切勿静默覆盖已有文件。
写入后，告诉用户确切路径以及查看方式：在 https://markmap.js.org 打开，或使用 VS Code 的 “Markmap” 扩展。
What ships with it
2 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.
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.
- 9d ago First seen · 141 lines · 32 tokens per session scan A b242a4c7cbbe
mindmap-zh is a skill published in the GitHub repository galiacheng/mindmap-skills (16 stars, last pushed 2mo ago), licensed MIT. It adds 32 tokens to every session and 1,915 once invoked, about $0.0002 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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