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-drivegit 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-drive)<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/lark-drive"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-drive/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/appleweiping/weiping_wiki/lark-drive"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-drive.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00175 | $0.06135 |
| Opus 5 | $0.00088 | $0.03068 |
| Sonnet 5 | $0.00035 | $0.01227 |
| Haiku 4.5 | $0.00017 | $0.00613 |
Grade A, and why
lark-drive 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 5d 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-drive — 98% identical, 1 lines differ
- lark-drive — 92% identical, 20 lines differ
How it starts
The opening of the file, as written. The whole thing — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.
drive (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
导入分流规则： 如果用户要把本地 Excel / CSV /
.base快照导入成 Base / 多维表格 / bitable，必须优先使用lark-cli drive +import --type bitable。不要先切到lark-base；lark-base只负责导入完成后的表内操作。
快速决策
- 用户要搜文档 / Wiki / 电子表格 / 多维表格 / 云空间对象，优先使用
lark-cli drive +search。自然语言里"最近我编辑过的"、"我创建的"、"最近一周我打开过的 xxx"、"某人创建的 docx" 等直接映射到扁平 flag，避免手写嵌套 JSON。老的docs +search进入维护期、后续会下线，不要新增对它的依赖。 - 用户要把本地
.xlsx/.csv/.base导入成 Base / 多维表格 / bitable，第一步必须使用lark-cli drive +import --type bitable。 - 用户要把本地
.md/.docx/.doc/.txt/.html导入成在线文档，使用lark-cli drive +import --type docx。 - 用户要在 Drive 里上传、创建、读取、覆盖更新原生
.md文件（不是导入成 docx），切到lark-markdown。 - 用户要把本地
.xlsx/.xls/.csv导入成电子表格，使用lark-cli drive +import --type sheet。 - 用户要在云空间里新建文件夹，优先使用
lark-cli drive +create-folder。 - 用户要把本地文件上传到知识库 / 文档库里的某个 wiki 节点下时，仍然使用
lark-cli drive +upload --wiki-token <wiki_token>；不要误切到wiki域命令。 lark-base只负责导入完成后的 Base 内部操作（表、字段、记录、视图），不要在“本地文件 -> Base”这一步提前切到lark-base。
修改标题
- 使用
drive files patch命令，通过new_title字段可以修改标题，支持 docx、sheet、bitable、file、wiki、folder 类型
核心概念
文档类型与 Token
飞书开放平台中，不同类型的文档有不同的 URL 格式和 Token 处理方式。在进行文档操作（如添加评论、下载文件等）时，必须先获取正确的 file_token。
文档 URL 格式与 Token 处理
| URL 格式 | 示例 | Token 类型 | 处理方式 |
|---|---|---|---|
/docx/ |
https://example.larksuite.com/docx/doxcnxxxxxxxxx |
file_token |
URL 路径中的 token 直接作为 file_token 使用 |
/doc/ |
https://example.larksuite.com/doc/doccnxxxxxxxxx |
file_token |
URL 路径中的 token 直接作为 file_token 使用 |
/wiki/ |
https://example.larksuite.com/wiki/wikcnxxxxxxxxx |
wiki_token |
⚠️ 不能直接使用，需要先查询获取真实的 obj_token |
/sheets/ |
https://example.larksuite.com/sheets/shtcnxxxxxxxxx |
file_token |
URL 路径中的 token 直接作为 file_token 使用 |
/drive/folder/ |
https://example.larksuite.com/drive/folder/fldcnxxxx |
folder_token |
URL 路径中的 token 作为文件夹 token 使用 |
What ships with it
17 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.
- references/lark-drive-add-comment.md 9.5 KB
- references/lark-drive-apply-permission.md 3.5 KB
- references/lark-drive-create-folder.md 3.5 KB
- references/lark-drive-create-shortcut.md 4.2 KB
- references/lark-drive-delete.md 2.6 KB
- references/lark-drive-download.md 755 B
- references/lark-drive-export-download.md 1.5 KB
- references/lark-drive-export.md 3.5 KB
- references/lark-drive-import.md 8.5 KB
- references/lark-drive-move.md 4.5 KB
- references/lark-drive-pull.md 9.4 KB
- references/lark-drive-push.md 14 KB
- references/lark-drive-reactions.md 6.1 KB
- references/lark-drive-search.md 14 KB
- references/lark-drive-status.md 7.3 KB
- references/lark-drive-task-result.md 11 KB
- references/lark-drive-upload.md 4.9 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.
- 5d ago First seen · 343 lines · 175 tokens per session scan A 88deb031c412
lark-drive is a skill published in the GitHub repository appleweiping/WEIPING_WIKI (122 stars, last pushed 14d ago), licensed MIT. It adds 175 tokens to every session and 6,135 once invoked, about $0.0009 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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