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 agentmods add skills/yokingma/weclaws/lark-sheetsnpx skills add yokingma/weclaws --skill lark-sheetsgit clone --depth 1 https://github.com/yokingma/weclawsWrote 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/yokingma/weclaws/lark-sheets)<a href="https://agentmods.dev/skills/yokingma/weclaws/lark-sheets"><img src="https://agentmods.dev/badge/skills/yokingma/weclaws/lark-sheets.svg" alt="Measured on agentmods" 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 | $0.00117 | $0.04567 |
| Opus 5 | $0.00059 | $0.02284 |
| Sonnet 5 | $0.00023 | $0.00913 |
| Haiku 4.5 | $0.00012 | $0.00457 |
Grade A, and why
lark-sheets 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.
This is a copy
100% identical to lark-sheets — 1 line 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 — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sheets (v3)
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
- 按标题或关键词找云空间里的表格文件，先用
lark-cli docs +search。 docs +search会直接返回SHEET结果，不要把它误解成只能搜文档 / Wiki。- 已知 spreadsheet URL / token 后，再进入
sheets +info、sheets +read、sheets +find等对象内部操作。
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 |
Wiki 链接特殊处理（关键！）
知识库链接（/wiki/TOKEN）背后可能是云文档、电子表格、多维表格等不同类型的文档。不能直接假设 URL 中的 token 就是 file_token，必须先查询实际类型和真实 token。
处理流程
-
使用
wiki.spaces.get_node查询节点信息lark-cli wiki spaces get_node --params '{"token":"wiki_token"}' -
从返回结果中提取关键信息
node.obj_type：文档类型（docx/doc/sheet/bitable/slides/file/mindnote）node.obj_token：真实的文档 token（用于后续操作）node.title：文档标题
-
根据
obj_type使用对应的 APIobj_type 说明 使用的 API docx新版云文档 drive file.comments.*、docx.*doc旧版云文档 drive file.comments.*sheet电子表格 sheets.*bitable多维表格 bitable.*slides幻灯片 drive.*file文件 drive.*mindnote思维导图 drive.*
What ships with it
10 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-sheets-cell-data.md 5.3 KB
- references/lark-sheets-cell-images.md 1.8 KB
- references/lark-sheets-cell-style-and-merge.md 3.6 KB
- references/lark-sheets-dropdown.md 3.7 KB
- references/lark-sheets-filter-views.md 5.6 KB
- references/lark-sheets-float-images.md 3.4 KB
- references/lark-sheets-formula.md 3.5 KB
- references/lark-sheets-row-column-management.md 4.7 KB
- references/lark-sheets-sheet-management.md 5.0 KB
- references/lark-sheets-spreadsheet-management.md 3.8 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 · 346 lines · 117 tokens per session scan A 3738abcef808
lark-sheets is a skill published in the GitHub repository yokingma/weclaws (38 stars, last pushed 3mo ago), licensed MIT. It adds 117 tokens to every session and 4,567 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to lark-sheets, differing in 1 line, and is treated as a copy.
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