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<!-- WEHUB_ZH_README -->
> [!NOTE]
> 本文档由 WeHub 基于上游 README 翻译整理，属于社区翻译，非官方中文文档。
> [English](./README.en.md) · [原始项目](https://github.com/larksuite/cli) · [上游 README](https://github.com/larksuite/cli/blob/HEAD/README.md)
> 原作者、版权与许可证归属以原始项目及本仓库 LICENSE 文件为准。
# lark-cli
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
@@ -6,270 +12,271 @@
[中文版](./README.zh.md) | [English](./README.md)
The official [Lark/Feishu](https://www.larksuite.com/) CLI tool, maintained by the [larksuite](https://github.com/larksuite) team — built for humans and AI Agents. Covers core business domains including Messenger, Docs, Base, Sheets, Slides, Calendar, Mail, Tasks, Meetings, Markdown, and more, with 200+ commands and 26 AI Agent [Skills](./skills/).
飞书官方 CLI 工具，由 [larksuite](https://github.com/larksuite) 团队维护 — 让人类和 AI Agent 都能在终端中操作飞书。覆盖消息、文档、多维表格、电子表格、幻灯片、日历、邮箱、任务、会议、Markdown 等核心业务域，提供 200+ 命令及 26 个 AI Agent [Skills](./skills/)。
[Install](#installation--quick-start) · [AI Agent Skills](#agent-skills) · [Auth](#authentication) · [Commands](#three-layer-command-system) · [Advanced](#advanced-usage) · [Security](#security--risk-warnings-read-before-use) · [Contributing](#contributing)
[安装](#安装与快速开始) · [AI Agent Skills](#agent-skills) · [认证](#认证) · [命令](#三层命令调用) · [进阶用法](#进阶用法) · [安全](#安全与风险提示使用前必读) · [贡献](#贡献)
## Why lark-cli?
## 为什么选 lark-cli？
- **Agent-Native Design** — 24 structured [Skills](./skills/) out of the box, compatible with popular AI tools — Agents can operate Lark with zero extra setup
- **Wide Coverage** — 18 business domains, 200+ curated commands, 26 AI Agent [Skills](./skills/)
- **AI-Friendly & Optimized** — Every command is tested with real Agents, featuring concise parameters, smart defaults, and structured output to maximize Agent call success rates
- **Open Source, Zero Barriers** — MIT license, ready to use, just `npm install`
- **Up and Running in 3 Minutes** — One-click app creation, interactive login, from install to first API call in just 3 steps
- **Secure & Controllable** — Input injection protection, terminal output sanitization, OS-native keychain credential storage
- **Three-Layer Architecture** — Shortcuts (human & AI friendly) → API Commands (platform-synced) → Raw API (full coverage), choose the right granularity
- **为 Agent 原生设计** — 26 个 [Skills](./skills/) 开箱即用，适配主流 AI 工具，Agent 无需额外适配即可操作飞书
- **覆盖面广** — 18 大业务域、200+ 精选命令、26 个 AI Agent [Skills](./skills/)
- **AI 友好调优** — 每条命令经过 Agent 实测验证，提供更友好的参数、智能默认值和结构化输出，大幅提升 Agent 调用成功率
- **开源零门槛** — MIT 协议，开箱即用，`npm install` 即可使用
- **三分钟上手** — 一键创建应用、交互式登录授权，从安装到第一次 API 调用只需三步
- **安全可控** — 输入防注入、终端输出净化、OS 原生密钥链存储凭证
- **三层调用架构** — 快捷命令（人机友好）→ API 命令（平台同步）→ 通用调用（全 API 覆盖），按需选择粒度
## Features
## 功能
| Category | Capabilities |
| ------------- |-----------------------------------------------------------------------------------------------------------------------------------|
| 📅 Calendar | View, create and update events, invite attendees, find meeting rooms, RSVP to invitations, check free/busy & time suggestions |
| 💬 Messenger | Send/reply messages, create and manage group chats, view chat history & threads, search messages, download media |
| 📄 Docs | Create, read, update, and search documents, read/write media & whiteboards |
| 📁 Drive | Upload and download files, search docs & wiki, manage comments |
| 📝 Markdown | Create, fetch, patch, and overwrite Drive-native `.md` files |
| 📊 Base | Create and manage tables, fields, records, views, dashboards, workflows, forms, roles & permissions, data aggregation & analytics |
| 📈 Sheets | Create, read, write, append, find, and export spreadsheet data |
| 🖼️ Slides | Create and manage presentations, read presentation content, and add or remove slides |
| ✅ Tasks | Create, query, update, and complete tasks; manage task lists, subtasks, comments & reminders |
| 📚 Wiki | Create and manage knowledge spaces, nodes, and documents |
| 👤 Contact | Search users by name/email/phone, get user profiles |
| 📧 Mail | Browse, search, read emails, send, reply, forward, manage drafts, watch new mail |
| 🎥 Meetings | Search meeting records, query meeting minutes artifacts and recordings |
| 🕐 Attendance | Query personal attendance check-in records |
| ✍️ Approval | Query approval tasks, approve/reject/transfer tasks, cancel and CC instances |
| 🎯 OKR | Query, create, update OKRs; manage objective & key results, alignments, indicators and progress. |
| 📋 Project | Meegle — manage work items, schedules, and data via the standalone [meegle-cli](https://github.com/larksuite/meegle-cli) (install separately) |
| 🔗 Apps | Create Spark/Miaoda apps, publish HTML/static sites, run cloud generation, and manage access scope |
| 类别 | 能力 |
| ------------- |--------------------------------------------|
| 📅 日历 | 查看、创建和更新日程，邀请参会人、查找会议室、回复日程邀请、查询忙闲与时间建议 |
| 💬 即时通讯 | 发送/回复消息、创建和管理群聊、查看聊天记录与话题、搜索消息、下载媒体文件 |
| 📄 云文档 | 创建、读取、更新文档、搜索文档、读写素材与画板 |
| 📁 云空间 | 上传和下载文件、搜索文档与知识库、管理评论 |
| 📝 Markdown | 创建、读取、局部 patch、覆盖更新 Drive 中的原生 `.md` 文件 |
| 📊 多维表格 | 创建和管理数据表、字段、记录、视图、仪表盘、自动化流程、表单、角色权限，数据聚合分析 |
| 📈 电子表格 | 创建、读取、写入、追加、查找和导出表格数据 |
| 🖼️ 幻灯片 | 创建和管理演示文稿、读取演示文稿内容，以及新增或删除幻灯片页面 |
| ✅ 任务 | 创建、查询、更新和完成任务；管理任务清单、子任务、评论与提醒 |
| 📚 知识库 | 创建和管理知识空间、节点和文档 |
| 👤 通讯录 | 按姓名/邮箱/手机号搜索用户、获取用户信息 |
| 📧 邮箱 | 浏览、搜索、阅读邮件，发送、回复、转发邮件，管理草稿，监听新邮件 |
| 🎥 视频会议 | 搜索会议记录、查询会议纪要产物与会议录制 |
| 🕐 考勤打卡 | 查询个人考勤打卡记录 |
| ✍️ 审批 | 查询审批任务、同意/拒绝/转交审批任务、撤回与抄送审批实例 |
| 🎯 OKR | 查询、创建、更新 OKR，管理目标、关键结果、对齐、指标和进展记录 |
| 📋 飞书项目 | 管理工作项、排期与数据 — 由独立的 [meegle-cli](https://github.com/larksuite/meegle-cli) 提供（需单独安装） |
| 🔗 应用 | 创建妙搭（Spark/Miaoda）应用、发布 HTML/静态站点、云端生成迭代、管理可用范围 |
## Installation & Quick Start
## 安装与快速开始
### Requirements
### 环境要求
Before you start, make sure you have:
开始之前，请确保具备以下条件：
- Node.js (`npm`/`npx`)
- Go `v1.23`+ and Python 3 (only required for building from source)
- Node.js（`npm`/`npx`）
- Go `v1.23`+ 和 Python 3（仅源码构建需要）
### Quick Start (Human Users)
### 快速开始（人类用户）
> **Note for AI assistants:** If you are an AI Agent helping the user with installation, jump directly to [Quick Start (AI Agent)](#quick-start-ai-agent), which contains all the steps you need to complete.
> **Note for AI assistants:** 如果你是 AI Agent 且正在协助用户执行安装，请直接跳转到[快速开始（AI Agent）](#快速开始ai-agent)执行，那里包含你需要完成的所有步骤。
#### Install
#### 安装
Choose **one** of the following methods:
以下两种方式**任选其一**：
**Option 1 — From npm (recommended):**
**方式一 — 从 npm 安装（推荐）：**
```bash
npx @larksuite/cli@latest install
```
**Option 2 — From source:**
**方式二 — 从源码安装：**
Requires Go `v1.23`+ and Python 3.
需要 Go `v1.23`+ 和 Python 3。
```bash
git clone https://github.com/larksuite/cli.git
cd cli
make install
# Install CLI SKILL (required)
# 安装 CLI SKILL（必需）
npx skills add larksuite/cli -y -g
```
#### Configure & Use
#### 配置与使用
```bash
# 1. Configure app credentials (one-time, interactive guided setup)
# 1. 配置应用凭证（仅需一次，交互式引导完成）
lark-cli config init
# 2. Log in (--recommend auto-selects commonly used scopes)
# 2. 登录授权（--recommend 自动选择常用权限）
lark-cli auth login --recommend
# 3. Start using
# 3. 开始使用
lark-cli calendar +agenda
```
## Quick Start (AI Agent)
### 快速开始（AI Agent）
> The following steps are for AI Agents. Some steps require the user to complete actions in a browser.
> 以下步骤面向 AI Agent，部分步骤需要用户在浏览器中配合完成。
**Step 1 — Install**
**第 1 步 — 安装**
```bash
npx @larksuite/cli@latest install
```
**Step 2 — Configure app credentials**
**第 2 步 — 配置应用凭证**
> Run this command in the background. It will output an authorization URL — extract it and send it to the user. The command exits automatically after the user completes the setup in the browser.
> 在后台运行此命令，命令会输出一个授权链接，提取该链接并发送给用户，用户在浏览器中完成配置后命令会自动退出。
```bash
lark-cli config init --new
```
**Step 3 — Login**
**第 3 步 — 登录**
> Same as above: run in the background, extract the authorization URL and send it to the user.
> 同上，后台运行，提取授权链接发给用户。
```bash
lark-cli auth login --recommend
```
**Step 4 — Verify**
**第 4 步 — 验证**
```bash
lark-cli auth status
```
## Agent Skills
| Skill | Description |
| ------------------------------- |----------------------------------------------------------------------------------------------------------------|
| `lark-shared` | App config, auth login, identity switching, scope management, security rules (auto-loaded by all other skills) |
| `lark-calendar` | Calendar events (create/update), agenda view, free/busy queries, time suggestions, room finding, RSVP replies |
| `lark-im` | Send/reply messages, group chat management, message search, upload/download images & files, reactions |
| `lark-doc` | Create, read, update, search documents (Markdown-based) |
| `lark-drive` | Upload, download files, manage permissions & comments |
| `lark-markdown` | Create, fetch, patch, and overwrite Drive-native Markdown files |
| `lark-sheets` | Create, read, write, append, find, export spreadsheets |
| `lark-slides` | Create and manage presentations, read presentation content, and add or remove slides |
| `lark-base` | Tables, fields, records, views, dashboards, data aggregation & analytics |
| `lark-task` | Tasks, task lists, subtasks, reminders, member assignment |
| `lark-mail` | Browse, search, read emails, send, reply, forward, draft management, watch new mail |
| `lark-contact` | Search users by name/email/phone, get user profiles |
| `lark-wiki` | Knowledge spaces, nodes, documents |
| `lark-event` | Real-time event subscriptions (WebSocket), regex routing & agent-friendly format |
| `lark-vc` | Search meeting records, query meeting minutes (summary, todos, transcript) |
| `lark-whiteboard` | Whiteboard/chart DSL rendering |
| `lark-minutes` | Minutes metadata & AI artifacts (summary, todos, chapters); upload audio/video to create minutes, download media |
| `lark-openapi-explorer` | Explore underlying APIs from official docs |
| `lark-skill-maker` | Custom skill creation framework |
| `lark-attendance` | Query personal attendance check-in records |
| `lark-approval` | Query approval tasks, approve/reject/transfer tasks, cancel and CC instances |
| `lark-workflow-meeting-summary` | Workflow: meeting minutes aggregation & structured report |
| `lark-workflow-standup-report` | Workflow: agenda & todo summary |
| `lark-okr` | Query, create, update OKRs; manage objective & key results, alignments and indicators. |
| Skill | 说明 |
| --------------------------------- |-------------------------------------------|
| `lark-shared` | 应用配置、认证登录、身份切换、权限管理、安全规则（所有其他 skill 自动加载） |
| `lark-calendar` | 日历日程（创建/更新）、议程查看、忙闲查询、时间建议、会议室查找、回复邀请 |
| `lark-im` | 发送/回复消息、群聊管理、消息搜索、上传下载图片与文件、表情回复 |
| `lark-doc` | 创建、读取、更新、搜索文档（基于 Markdown） |
| `lark-drive` | 上传、下载文件，管理权限与评论 |
| `lark-markdown` | 创建、读取、局部 patch、覆盖更新 Drive 中的原生 Markdown 文件 |
| `lark-sheets` | 创建、读取、写入、追加、查找、导出电子表格 |
| `lark-slides` | 创建和管理演示文稿、读取演示文稿内容，以及新增或删除幻灯片页面 |
| `lark-base` | 多维表格、字段、记录、视图、仪表盘、数据聚合分析 |
| `lark-task` | 任务、任务清单、子任务、提醒、成员分配 |
| `lark-mail` | 浏览、搜索、阅读邮件，发送、回复、转发，草稿管理，监听新邮件 |
| `lark-contact` | 按姓名/邮箱/手机号搜索用户，获取用户信息 |
| `lark-wiki` | 知识空间、节点、文档 |
| `lark-event` | 实时事件订阅（WebSocket），支持正则路由与 Agent 友好格式 |
| `lark-vc` | 搜索会议记录、查询会议纪要产物（总结、待办、逐字稿） |
| `lark-whiteboard` | 画板/图表 DSL 渲染 |
| `lark-minutes` | 妙记元数据与 AI 产物（总结、待办、章节），上传音视频生成妙记，下载音视频文件 |
| `lark-openapi-explorer` | 从官方文档探索底层 API |
| `lark-skill-maker` | 自定义 skill 创建框架 |
| `lark-attendance` | 查询个人考勤打卡记录 |
| `lark-approval` | 审批任务查询、同意/拒绝/转交审批任务、撤回与抄送审批实例 |
| `lark-workflow-meeting-summary` | 工作流：会议纪要汇总与结构化报告 |
| `lark-workflow-standup-report` | 工作流：日程待办摘要 |
| `lark-okr` | 查询、创建、更新 OKR，管理目标、关键结果、对齐、指标和进展记录 |
## Authentication
## 认证
| Command | Description |
| ------------- | -------------------------------------------------------------- |
| `auth login` | OAuth login with interactive selection or CLI flags for scopes |
| `auth logout` | Sign out and remove stored credentials |
| `auth status` | Show current login status and granted scopes |
| `auth check` | Verify a specific scope (exit 0 = ok, 1 = missing) |
| `auth scopes` | List all available scopes for the app |
| `auth list` | List all authenticated users |
| 命令 | 说明 |
| --------------- | -------------------------------------------------- |
| `auth login` | OAuth 登录，支持交互式选择或命令行参数指定 scope |
| `auth logout` | 登出并删除已存储的凭证 |
| `auth status` | 查看当前登录状态和已授权的 scope |
| `auth check` | 校验指定 scope（exit 0 = 有权限，1 = 缺失） |
| `auth scopes` | 列出应用的所有可用 scope |
| `auth list` | 列出所有已认证的用户 |
```bash
# Interactive login (TUI guides domain and permission level selection)
# 交互式登录（TUI 引导选择业务域和权限级别）
lark-cli auth login
# Filter by domain
# 按域筛选
lark-cli auth login --domain calendar,task
# Recommended auto-approval scopes
# 推荐的自动审批 scopes
lark-cli auth login --recommend
# Exact scope
# 精确 scope
lark-cli auth login --scope "calendar:calendar:read"
# Agent mode: return verification URL immediately, non-blocking
# Agent 模式：立即返回验证 URL，不阻塞
lark-cli auth login --domain calendar --no-wait
# Resume polling later
# 稍后恢复轮询
lark-cli auth login --device-code <DEVICE_CODE>
# Identity switching: execute commands as user or bot
# 身份切换：以用户或机器人身份执行命令
lark-cli calendar +agenda --as user
lark-cli im +messages-send --as bot --chat-id "oc_xxx" --text "Hello"
```
## Three-Layer Command System
## 三层命令调用
The CLI provides three levels of granularity, covering everything from quick operations to fully custom API calls:
CLI 提供三种粒度的调用方式，覆盖从快速操作到完全自定义的全部场景：
### 1. Shortcuts
### 1. 快捷命令（Shortcuts）
Prefixed with `+`, designed to be friendly for both humans and AI, with smart defaults, table output, and dry-run previews.
以 `+` 为前缀，对人类与 AI 友好化封装，内置智能默认值、表格输出和 dry-run 预览。
```bash
lark-cli calendar +agenda
lark-cli im +messages-send --chat-id "oc_xxx" --text "Hello"
lark-cli docs +create --doc-format markdown --content $'<title>Weekly Report</title>\n# Progress\n- Completed feature X'
lark-cli docs +create --doc-format markdown --content $'<title>周报</title>\n# 本周进展\n- 完成了 X 功能'
```
Run `lark-cli <service> --help` to see all shortcut commands.
运行 `lark-cli <service> --help` 查看所有快捷命令。
### 2. API Commands
### 2. API 命令
Auto-generated from Lark OAPI metadata, curated through evaluation and quality gates — 100+ commands mapped 1:1 to platform endpoints.
从飞书 OAPI 元数据自动生成，经过评测与准入筛选，100+ 精选命令与平台端点一一对应。
```bash
lark-cli calendar calendars list
lark-cli calendar events instance_view --params '{"calendar_id":"primary","start_time":"1700000000","end_time":"1700086400"}'
```
### 3. Raw API Calls
### 3. 通用 API 调用
Call any Lark Open Platform endpoint directly, covering 2500+ APIs.
直接调用任意飞书开放平台端点，覆盖 2500+ API。
```bash
lark-cli api GET /open-apis/calendar/v4/calendars
lark-cli api POST /open-apis/im/v1/messages --params '{"receive_id_type":"chat_id"}' --data '{"receive_id":"oc_xxx","msg_type":"text","content":"{\"text\":\"Hello\"}"}'
```
## Advanced Usage
## 进阶用法
### Output Formats
### 输出格式
```bash
--format json # Full JSON response (default)
--format pretty # Human-friendly formatted output
--format table # Readable table
--format ndjson # Newline-delimited JSON (for piping)
--format csv # Comma-separated values
--format json # 完整 JSON 响应（默认）
--format pretty # 人性化格式输出
--format table # 易读表格
--format ndjson # 换行分隔 JSON（适合管道处理）
--format csv # 逗号分隔值
```
### JSON Output Contract
### JSON 输出契约
With `--format json` (the default), success and error envelopes are distinct.
`--format json`（默认）下，成功与错误的信封结构不同。
Success goes to **stdout**, exit code `0`:
成功信封写入 **stdout**，退出码 0：
```json
{ "ok": true, "identity": "user", "data": { "guid": "..." }, "meta": { "count": 1 } }
```
Errors go to **stderr**, non-zero exit code:
错误信封写入 **stderr**，退出码非 0：
```json
{ "ok": false, "identity": "user", "error": { "type": "api", "subtype": "...", "code": 99991679, "message": "...", "hint": "..." } }
```
To check whether a command succeeded, test `ok == true` (or the exit code) — **not** `code == 0`. Unlike raw OpenAPI responses (`{"code": 0, "msg": "ok", ...}`), the success envelope carries no `code` or `msg` field; `code` appears only inside `error` as the upstream OpenAPI code. See [errs/ERROR_CONTRACT.md](errs/ERROR_CONTRACT.md) for the full error taxonomy.
判断命令是否成功，请检查 `ok == true`（或进程退出码），**不要用 `code == 0`**。与原始 OpenAPI 响应（`{"code": 0, "msg": "ok", ...}`）不同，成功信封没有 `code` 和 `msg` 字段；`code` 只出现在错误信封的 `error` 内，含义是上游 OpenAPI 的 numeric code。完整错误分类见 [errs/ERROR_CONTRACT.md](errs/ERROR_CONTRACT.md)。
### Pagination
### 分页
```bash
--page-all # Auto-paginate through all pages
--page-limit 5 # Max 5 pages
--page-delay 500 # 500ms between page requests
--page-all # 自动翻页获取所有数据
--page-limit 5 # 最多获取 5 页
--page-delay 500 # 每页请求间隔 500ms
```
### Dry Run
For commands that may have side effects, preview the request with --dry-run first:
对可能产生副作用的命令，建议先用 --dry-run 预览请求：
```bash
lark-cli im +messages-send --chat-id oc_xxx --text "hello" --dry-run
```
### Schema Introspection
### Schema 自省
Use schema to inspect any API method's parameters, request body, response structure, supported identities, and scopes:
使用 schema 查看任意 API 方法的参数、请求体、响应结构、支持身份和 scopes：
```bash
lark-cli schema
@@ -277,35 +284,35 @@ lark-cli schema calendar.events.instance_view
lark-cli schema im.messages.delete
```
## Security & Risk Warnings (Read Before Use)
## 安全与风险提示（使用前必读）
This tool can be invoked by AI Agents to automate operations on the Lark/Feishu Open Platform, and carries inherent risks such as model hallucinations, unpredictable execution, and prompt injection. After you authorize Lark/Feishu permissions, the AI Agent will act under your user identity within the authorized scope, which may lead to high-risk consequences such as leakage of sensitive data or unauthorized operations. Please use with caution.
本工具可供 AI Agent 调用以自动化操作飞书/Lark 开放平台，存在模型幻觉、执行不可控、提示词注入等固有风险；授权飞书权限后，AI Agent 将以您的用户身份在授权范围内执行操作，可能导致敏感数据泄露、越权操作等高风险后果，请您谨慎操作和使用。
To reduce these risks, the tool enables default security protections at multiple layers. However, these risks still exist. We strongly recommend that you do not proactively modify any default security settings; once relevant restrictions are relaxed, the risks will increase significantly, and you will bear the consequences.
为降低上述风险，工具已在多个层面启用默认安全保护，但上述风险仍然存在。我们强烈建议不要主动修改任何默认安全配置；一旦放开相关限制，上述风险将显著提高，由此产生的后果需由您自行承担。
We recommend using the Lark/Feishu bot integrated with this tool as a private conversational assistant. Do not add it to group chats or allow other users to interact with it, to avoid abuse of permissions or data leakage.
我们建议您将对接本工具的飞书机器人作为私人对话助手使用，请勿将其拉入群聊或允许其他用户与其交互，以避免权限被滥用或数据泄露。
Please fully understand all usage risks. By using this tool, you are deemed to voluntarily assume all related responsibilities.
请您充分知悉全部使用风险，使用本工具即视为您自愿承担相关所有责任。
## Star History
[![Star History Chart](https://api.star-history.com/svg?repos=larksuite/cli&type=Date)](https://star-history.com/#larksuite/cli&Date)
## Contributing
## 贡献
Community contributions are welcome! If you find a bug or have feature suggestions, please submit an [Issue](https://github.com/larksuite/cli/issues) or [Pull Request](https://github.com/larksuite/cli/pulls).
欢迎社区贡献！如果你发现 bug 或有功能建议，请提交 [Issue](https://github.com/larksuite/cli/issues) 或 [Pull Request](https://github.com/larksuite/cli/pulls)。
For major changes, we recommend discussing with us first via an Issue.
对于较大的改动，建议先通过 Issue 与我们讨论。
Before opening a PR, see [AGENTS.md](./AGENTS.md) for the local build, test, and PR checklist used by contributors and AI agents.
提交 PR 前，请先阅读 [AGENTS.md](./AGENTS.md)，其中列出了贡献者和 AI Agent 使用的本地构建、测试和 PR 检查清单。
## License
## 许可证
This project is licensed under the **MIT License**.
When running, it calls Lark/Feishu Open Platform APIs. To use these APIs, you must comply with the following agreements and privacy policies:
本项目基于 **MIT 许可证** 开源。
该软件运行时会调用 Lark/飞书开放平台的 API，使用这些 API 需要遵守如下协议和隐私政策：
- [Feishu User Terms of Service](https://www.feishu.cn/terms)
- [Feishu Privacy Policy](https://www.feishu.cn/privacy)
- [Feishu Open Platform App Service Provider Security Management Specifications](https://open.feishu.cn/document/uAjLw4CM/uMzNwEjLzcDMx4yM3ATM/management-practice/app-service-provider-security-management-specifications)
- [飞书用户服务协议](https://www.feishu.cn/terms)
- [飞书隐私政策](https://www.feishu.cn/privacy)
- [飞书开放平台独立软件服务商安全管理运营规范](https://open.feishu.cn/document/uAjLw4CM/uMzNwEjLzcDMx4yM3ATM/management-practice/app-service-provider-security-management-specifications)
- [Lark User Terms of Service](https://www.larksuite.com/user-terms-of-service)
- [Lark Privacy Policy](https://www.larksuite.com/privacy-policy)