A guide for working with Feishu cloud documents, Word-like documents, spreadsheets, and Wiki knowledge-base pages through lark-cli.

It helps fetch and summarise documents, create or update content, manage embedded tables and files, and handle document images, attachments, and related materials.

It provides the required command and format rules for reading, creating, editing, translating, organising, and reviewing Feishu documents.

lark-doc — Skill for Claude Code and Codex by yokingma: A guide for working with Feishu cloud documents, Word-like…

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.

agentmods

npx agentmods add skills/yokingma/weclaws/lark-doc

Any agent

npx skills add yokingma/weclaws --skill lark-doc

Clone the repo

git clone --depth 1 https://github.com/yokingma/weclaws

Made for: Claude Code, 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/yokingma/weclaws/lark-doc.svg)](https://agentmods.dev/skills/yokingma/weclaws/lark-doc)

Your own site

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

Per session 219 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,177 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin 100% copy Near-identical to another mod 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	$0.00219	$0.02177
Opus 5	$0.00110	$0.01089
Sonnet 5	$0.00044	$0.00435
Haiku 4.5	$0.00022	$0.00218

Measured 6d ago against content hash 43a4e9e2e4d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

lark-doc 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 6d 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

This is a copy

100% identical to lark-doc — 0 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.

resources/skills/managed/lark-doc/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

docs (v2)

⚠️ API 版本：本 skill 使用 v2 API。所有 docs +create --api-version v2、docs +fetch --api-version v2、docs +update --api-version v2 命令必须携带 --api-version v2。

# 常用示例
lark-cli docs +fetch  --api-version v2 --doc "文档URL或token"
lark-cli docs +create --api-version v2 --content '<title>标题</title><p>内容</p>'
lark-cli docs +update --api-version v2 --doc "文档URL或token" --command append --content '<p>内容</p>'

前置条件 — 执行操作前必读

CRITICAL — 执行对应操作前，MUST 先用 Read 工具读取以下文件，缺一不可：

../lark-shared/SKILL.md — 认证、权限处理、全局参数（所有操作通用）
读取文档（docs +fetch --api-version v2） → 必读 lark-doc-fetch.md（--scope / --detail 选择、局部读取策略、<fragment> / <excerpt> 输出结构）
创建或编辑文档内容 → 必读 lark-doc-xml.md（XML 语法规则，仅当用户明确要求 Markdown 时改读 lark-doc-md.md）；从零创建时加读 lark-doc-create-workflow.md；编辑已有文档时加读 lark-doc-update-workflow.md

未读完以上文件就执行相应操作会导致参数选择错误、格式错误或样式不达标。

格式选择规则（全局）：

创建 / 导入场景（docs +create，或 docs +update --command append/overwrite 的整段写入）：XML 和 Markdown 都可以。用户提供 .md 本地文件、或明确说"导入 Markdown"时，直接用 Markdown；否则默认 XML（可用 callout、grid、checkbox 等富 block）。

精准编辑场景（docs +update 的 str_replace / block_insert_after / block_replace / block_delete / block_move_after 等局部精修指令）：优先使用 XML（--doc-format xml，即默认值）。XML 能稳定表达 block 结构和样式，局部精修更可控；不要因为 Markdown 更简单就自行切换。

快速决策

用户需要在文档内创建、复制或移动资源块（画板、电子表格、多维表格等）时，必须先读取 lark-doc-xml.md 的「三、资源块」章节
写文档时，重要信息（核心流程、架构、对比、风险、路线图、关键指标、因果关系）优先规划为画板，不要只用文字或表格承载
新增画板必须隔离到 SubAgent：简单图由 SubAgent 直接插入 <whiteboard type="svg">完整 SVG</whiteboard>，不读 lark-whiteboard；复杂图才由主 Agent 先建 <whiteboard type="blank"></whiteboard>，再启动 SubAgent 读取 lark-whiteboard 写入
用户说"看一下文档里的图片/附件/素材""预览素材" → 用 lark-cli docs +media-preview
用户明确说"下载素材" → 用 lark-cli docs +media-download
如果目标是画板/whiteboard/画板缩略图 → 只能用 lark-cli docs +media-download --type whiteboard（不要用 +media-preview）
用户说"找一个表格""按名称搜电子表格""找报表""最近打开的表格""最近我编辑过的 xxx" → 直接用 lark-cli drive +search（参考 lark-drive）。老的 docs +search 已进入维护期、后续会下线，不要再新增依赖。
drive +search 结果里会直接返回 SHEET / Base / FOLDER 等云空间对象，是资源发现的统一入口
拿到 spreadsheet URL/token 后 → 切到 lark-sheets 做对象内部操作
用户说"给文档加评论""查看评论""回复评论""给评论加/删除表情 reaction" → 切到 lark-drive 处理
文档内容中出现嵌入的 <sheet>、<bitable> 或 <cite file-type="sheets|bitable"> 标签时 → 必须主动提取 token 并切到对应技能下钻读取内部数据，不能只呈现标签本身

Read the full file on GitHub · 70 lines

Files

What ships with it

13 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.

6d ago First seen · 70 lines · 219 tokens per session scan A 43a4e9e2e4d5

Subscribe to this mod's changes

lark-doc is a skill published in the GitHub repository yokingma/weclaws (38 stars, last pushed 3mo ago), licensed MIT. It adds 219 tokens to every session and 2,177 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to lark-doc, differing in 0 lines, and is treated as a copy.

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