A Lark spreadsheet tool for creating and managing workbooks and worksheets, reading and writing cells, finding values, and exporting files.

Use it to create sheets, manage worksheets, update or append rows, search cell contents, and export spreadsheet data.

It makes repeated spreadsheet edits and data operations possible through commands instead of manual cell changes.

lark-sheets — Skill for Codex by appleweiping

Install

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.

Any agent

npx skills add appleweiping/WEIPING_WIKI --skill lark-sheets

Clone the repo

git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI

Made for: Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-sheets.svg)](https://agentmods.dev/skills/appleweiping/weiping_wiki/lark-sheets)

Your own site

<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/lark-sheets"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-sheets.svg" alt="Measured on agentmods" height="20"></a>

Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,558 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00117	$0.04558
Opus 5	$0.00059	$0.02279
Sonnet 5	$0.00023	$0.00912
Haiku 4.5	$0.00012	$0.00456

Measured 4d ago against content hash 0bd03b3f297e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

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 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

lark-sheets — 100% identical, 1 lines differ
lark-sheets — 100% identical, 1 lines differ

.codex/skills/lark-sheets/SKILL.md · 345 lines

How it starts

The opening of the file, as written. The whole thing — 345 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 API

obj_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.*`

Read the full file on GitHub · 345 lines

Files

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.

Changes

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 · 345 lines · 117 tokens per session scan A 0bd03b3f297e

Subscribe to this mod's changes

lark-sheets is a skill published in the GitHub repository appleweiping/WEIPING_WIKI (122 stars, last pushed 12d ago), licensed MIT. It adds 117 tokens to every session and 4,558 once invoked, about $0.0006 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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