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 appleweiping/WEIPING_WIKI --skill lark-markdowngit clone --depth 1 https://github.com/appleweiping/WEIPING_WIKIWrote 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/appleweiping/weiping_wiki/lark-markdown)<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/lark-markdown"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-markdown.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.00602 |
| Opus 5 | $0.00016 | $0.00301 |
| Sonnet 5 | $0.00007 | $0.00120 |
| Haiku 4.5 | $0.00003 | $0.00060 |
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 4d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- lark-markdown — 95% identical, 1 lines differ
- lark-markdown — 86% identical, 7 lines differ
What it actually says
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
- 用户要上传、创建一个原生
.md文件，使用lark-cli markdown +create - 用户要读取 Drive 里某个
.md文件内容，使用lark-cli markdown +fetch - 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 / 评论等云空间操作，不要留在本 skill，切到
lark-drive
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
--file只接受本地.md文件路径
Shortcuts（推荐优先使用）
Shortcut 是对常用操作的高级封装（lark-cli markdown +<verb> [flags]）。有 Shortcut 的操作优先使用。
| Shortcut | 说明 |
|---|---|
+create |
Create a Markdown file in Drive |
+fetch |
Fetch a Markdown file from Drive |
+overwrite |
Overwrite an existing Markdown file in Drive |
参考
- lark-shared — 认证和全局参数
- lark-drive — Drive 文件管理、导入 docx、move/delete/search 等
What ships with it
3 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.
- 4d ago First seen · 46 lines · 33 tokens per session scan A 6a6e2cacf4b0
lark-markdown is a skill published in the GitHub repository appleweiping/WEIPING_WIKI (122 stars, last pushed 13d ago), licensed MIT. It adds 33 tokens to every session and 602 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 2026-09-03.
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