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 DropFan/claude-code-plugins --skill lark-markdowngit clone --depth 1 https://github.com/DropFan/claude-code-pluginsWrote 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/dropfan/claude-code-plugins/lark-markdown)<a href="https://agentmods.dev/skills/dropfan/claude-code-plugins/lark-markdown"><img src="https://agentmods.dev/badge/skills/dropfan/claude-code-plugins/lark-markdown/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/dropfan/claude-code-plugins/lark-markdown"><img src="https://agentmods.dev/badge/skills/dropfan/claude-code-plugins/lark-markdown.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 | $0.00090 | $0.01589 |
| Opus 5.5 | $0.00036 | $0.00636 |
| Sonnet 5.5 | $0.00018 | $0.00318 |
| Haiku 4.5 | $0.00009 | $0.00159 |
Grade A, and why
lark-markdown 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 25d 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
86% identical to lark-markdown — 11 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚙️ Cowork / Claude Desktop 执行环境说明（自动注入）
本技能依赖本地
lark-cli（@larksuite/cli，可用command -v lark-cli定位）及其~/.lark-cli登录态（应用密钥存于 macOS keychain）。在 Cowork 中运行任何
lark-cli命令时，必须在本地 macOS 上执行（使用 Desktop Commander 的start_process/interact_with_process，或其它本地 shell 工具），不要用隔离的 Linux 沙箱mcp__workspace__bash——沙箱里没有 lark-cli、也读不到 keychain。 执行前确保 npm 全局 bin 目录（npm prefix -g输出目录下的bin）在 PATH 中。（在 Claude Code 中可忽略本说明，lark-cli 在本机 shell 直接可用。）
markdown (v1)
CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md，其中包含认证、权限处理
快速决策
-
身份：Markdown 文件通常属于用户云空间资源，优先使用
--as user。如为自动化场景，或应用已创建并持有目标文件权限，可按场景使用--as bot。首次以user身份访问前执行lark-cli auth login -
markdown +create/+overwrite失败时，先判断是不是身份和权限问题：bot更常见的是 app scope 或目标目录 ACL，user更常见的是用户授权或用户 ACL；不要不加判断地来回切身份重试。 -
用户要上传、创建一个原生
.md文件，使用lark-cli markdown +create -
用户要比较原生
.md文件的历史版本差异，或比较远端 Markdown 与本地草稿，使用lark-cli markdown +diff -
用户要读取 Drive 里某个
.md文件内容，使用lark-cli markdown +fetch -
用户要对 Markdown 文件做局部文本替换 / 正则替换，优先使用
lark-cli markdown +patch -
用户要覆盖更新 Drive 里某个
.md文件内容，使用lark-cli markdown +overwrite -
用户要先拿 Markdown 文件的历史版本号，再做比较/下载/回滚，先用
lark-drive的lark-cli drive +version-history -
用户要把本地 Markdown 导入成在线新版文档（docx），不要用本 skill，改用
lark-drive的lark-cli drive +import --type docx -
用户要对 Markdown 文件做rename / move / delete / 搜索 / 权限 / 评论等云空间（云盘/云存储）操作，不要留在本 skill，切到
lark-drive -
markdown +create/+overwrite命中missing scope、permission denied、not found、quota_exceeded、version limit时，默认停止重试并按报错 hint 处理；只有rate_limit、server_error或临时网络错误才做有限退避重试。 -
markdown +create的目标参数不要猜：Drive 文件夹用--folder-token，Wiki 节点用--wiki-token。如果用户给的是 URL，可以直接传完整 URL；CLI 会归一成 token。不要把 doc/sheet/wiki URL 放进--folder-token试错。
核心边界
- 本 skill 处理的是 Drive 中作为普通文件存储的 Markdown，不是 docx 文档
--name和本地--file文件名都必须显式带.md后缀；不满足时 shortcut 会直接报错--content支持：- 直接传字符串
@file从本地文件读取内容-从 stdin 读取内容
markdown +patch的内部语义是：先完整下载 Markdown，再本地替换，再整文件覆盖上传markdown +patch不是服务端原子 patch；它是 CLI 侧编排出来的局部更新能力markdown +patch当前只支持单组--pattern/--contentmarkdown +patch替换后的最终内容不能为空；CLI 会拒绝上传空文件，因为 Drive 不支持零字节 Markdown，且空文件通常是误操作--file只接受本地.md文件路径
What ships with it
5 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.
- 25d ago Changed · +17 tokens per session 5d68de1a67f7
- 1mo ago First seen · 82 lines · 73 tokens per session scan A a7eb7348f4b6
lark-markdown is a skill published in the GitHub repository DropFan/claude-code-plugins (8 stars, last pushed 26d ago), licensed MIT. It adds 90 tokens to every session and 1,589 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to lark-markdown, differing in 11 lines, and is treated as a copy.
Other skills, from other repositories
fly
Fly one thought to its destination across concurrent agents, on whatever the project and harness already have. Lands only when the user has accounted for every detail, never on an agent's say-so.
deepen
Hold an ask to the bar a top professional in its field would set — a deeper ask, never a bigger one. Use when an ask is clear but nothing yet names the sources, methods, target, or outside check the work will meet.
consult
Bring how named experts would think about the question. Use when the user wants expert thinking on a tradeoff, choice, or stuck problem — not a verdict.
setup
Use when installing or refreshing sound taste rules in a project — an explicit "sound setup", starting work in a repo with no .claude/sound/, or a taste-not-defined nudge. Also use to re-run after a stack change (new framework, new package in a monorepo).
auto-loop
TDD-based autonomous development loop with checkpoint recovery and observability changelog.
hook-template
Generate hook script from template. Use when adding a new hook, wiring a PreToolUse/PostToolUse/Stop/Notification hook, or scaffolding hook config for settings.json.