diff --git a/README.md b/README.md index 0d6fc24..5e5c067 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,9 @@ + +> [!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 -# 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 $'Weekly Report\n# Progress\n- Completed feature X' +lark-cli docs +create --doc-format markdown --content $'周报\n# 本周进展\n- 完成了 X 功能' ``` -Run `lark-cli --help` to see all shortcut commands. +运行 `lark-cli --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)