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 YangsonHung/awesome-agent-skills --skill yuque-lakebook-export-cngit clone --depth 1 https://github.com/YangsonHung/awesome-agent-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/yangsonhung/awesome-agent-skills/yuque-lakebook-export-cn)<a href="https://agentmods.dev/skills/yangsonhung/awesome-agent-skills/yuque-lakebook-export-cn"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/yuque-lakebook-export-cn/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/yangsonhung/awesome-agent-skills/yuque-lakebook-export-cn"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/yuque-lakebook-export-cn.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 | $0.00038 | $0.00965 |
| Opus 5 | $0.00019 | $0.00483 |
| Sonnet 5 | $0.00008 | $0.00193 |
| Haiku 4.5 | $0.00004 | $0.00097 |
Grade A, and why
yuque-lakebook-export-cn 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 12d 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.
What it actually says
语雀 Lakebook 导出
Overview
将语雀知识库、语雀文档或 .lakebook 文件导出并转换为本地 Markdown 目录，优先适配 Obsidian 使用。流程支持单个或批量导出，并处理常见迁移问题，如图片缺失、裁剪图不匹配、内部链接损坏、目录层级错误和 Markdown 表格渲染异常。
何时使用
当用户需要以下能力时使用本技能：
- 导出一个或多个语雀
.lakebook - 将语雀知识库转换为 Markdown
- 将语雀内容迁移到 Obsidian
- 修复语雀导出后的图片、裁剪图、内部链接、目录层级、表格渲染问题
不要使用
不要将本技能用于：
- 与语雀或
.lakebook无关的普通 Markdown 编辑 - 网页抓取任务
- 非语雀来源的导出转换任务
使用说明
- 优先使用非交互模式，便于 Agent 稳定执行。
- Agent 在执行任何非交互导出前，必须先向用户确认输出根目录，不能自行决定输出目录。
- 如果用户还没有明确给出输出目录，就先用一句简短问题询问，等用户答复后再执行导出。
- 统一优先使用
uv，不要在任务目录里临时创建.venv、.yuque-export-venv这类环境。 - 在执行任何
uv命令前，先检查当前环境是否可用uv。 - 如果
uv未安装，或者不在PATH中，Agent 必须先征求用户确认是否安装uv，不能直接静默安装。 - 在执行
uv sync或uv run python scripts/cli.py ...前，必须先切换到当前已安装 skill 的工具目录，也就是包含本SKILL.md、pyproject.toml、uv.lock和scripts/的那个目录。不要在.lakebook所在目录、目标输出目录、或用户当前工作区根目录直接执行这些命令。 - Agent 执行时使用下面这个入口：
uv run python scripts/cli.py
- 首次使用前同步依赖：
uv sync
- 推荐执行顺序：
cd /path/to/installed-skill-root
uv sync
uv run python scripts/cli.py ...
- 单文件执行：
uv run python scripts/cli.py -l "/path/to/your_file.lakebook" -o "/target/root"
- 批量执行：
uv run python scripts/cli.py -l "/path/to/your_file_1.lakebook" "/path/to/your_file_2.lakebook" -o "/target/root"
- 虽然
scripts/cli.py仍然保留了给人类终端手工使用的交互选择能力，但 Agent 不应依赖交互模式，因为无法稳定获取终端交互状态。执行时始终显式传入-l和-o参数。 - 不要在当前工作目录、用户下载目录、或任意任务目录里手动创建临时虚拟环境；依赖应由 skill 工具目录中的
uv环境统一管理。 - 已知有些语雀导出的文档正文会包含
<!doctype lake>，旧实现可能导出成lake## 标题；当前技能内置实现已经处理这个问题。 - 导出完成后检查：
.md文件是否生成- 同名
.assets目录是否生成 - 内部链接是否转为相对 Markdown 路径
- 图片是否能在 Obsidian 中正常显示
- 文档首行是否存在异常的
lake##前缀
- 如果导出失败，优先查看输入
.lakebook同目录下生成的批量日志。
详细行为、输出规则和排查说明见 references/usage.md。
What ships with it
8 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.
- pyproject.toml 247 B
- references/usage.md 1.4 KB
- scripts/cli.py 15 KB runs code
- scripts/yuque_lakebook_export/__init__.py 66 B runs code
- scripts/yuque_lakebook_export/lake_handle.py 21 KB runs code
- scripts/yuque_lakebook_export/lake_reader.py 1.1 KB runs code
- scripts/yuque_lakebook_export/lake_setup.py 14 KB runs code
- uv.lock 22 KB
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.
- 12d ago First seen · 84 lines · 38 tokens per session scan A acb5d3909bb5
yuque-lakebook-export-cn is a skill published in the GitHub repository YangsonHung/awesome-agent-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 965 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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