--- id: daily-lark-approval name: "lark-approval" url: https://skills.yangsir.net/skill/daily-lark-approval author: larksuite domain: ai-productivity-automation tags: ["cli-utilities", "ai-agent-development", "larksuite", "automation", "productivity-tools"] install_count: 128200 rating: 4.80 (20 reviews) github: https://github.com/larksuite/cli --- # lark-approval > 飞书官方 CLI 工具，专为人类和 AI Agent 设计。提供 200+ 命令和 24 个 AI Agent 技能，覆盖飞书核心业务，如消息、文档、表格、日历等。支持 Agent 原生设计，优化参数和结构化输出，提升 AI 调用成功率，实现飞书自动化操作。 **Stats**: 128,200 installs · 4.8/5 (20 reviews) ## Before / After 对比 ### 飞书任务自动化效率提升 **Before**: AI Agent 首次集成飞书业务流程时，需要手动配置复杂的 API 调用，调试参数和处理非结构化输出，导致集成耗时且易出错。 **After**: 使用 lark-cli，AI Agent 可以通过简化的命令和结构化输出快速集成飞书核心业务，大幅减少配置和调试时间，提高任务自动化成功率。 | Metric | Before | After | Change | |---|---|---|---| | 首次集成时间 | 120分钟 | 10分钟 | -91% | ## Readme # lark-cli [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Go Version](https://img.shields.io/badge/go-%3E%3D1.23-blue.svg)](https://go.dev/) [![npm version](https://img.shields.io/npm/v/@larksuite/cli.svg)](https://www.npmjs.com/package/@larksuite/cli) [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 24 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) ## Why 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** — 17 business domains, 200+ curated commands, 24 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 ## Features | 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) | ## Installation & Quick Start ### Requirements Before you start, make sure you have: - Node.js (`npm`/`npx`) - Go `v1.23`+ and Python 3 (only required for building from source) ### Quick Start (Human Users) > **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. #### Install Choose **one** of the following methods: **Option 1 — From npm (recommended):** ```bash npx @larksuite/cli@latest install ``` **Option 2 — From source:** Requires Go `v1.23`+ and Python 3. ```bash git clone https://github.com/larksuite/cli.git cd cli make install # Install CLI SKILL (required) npx skills add larksuite/cli -y -g ``` #### Configure & Use ```bash # 1. Configure app credentials (one-time, interactive guided setup) lark-cli config init # 2. Log in (--recommend auto-selects commonly used scopes) lark-cli auth login --recommend # 3. Start using lark-cli calendar +agenda ``` ## Quick Start (AI Agent) > The following steps are for AI Agents. Some steps require the user to complete actions in a browser. **Step 1 — Install** ```bash npx @larksuite/cli@latest install ``` **Step 2 — Configure app credentials** > 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. ```bash lark-cli config init --new ``` **Step 3 — Login** > Same as above: run in the background, extract the authorization URL and send it to the user. ```bash lark-cli auth login --recommend ``` **Step 4 — Verify** ```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. | ## Authentication | 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 | ```bash # Interactive login (TUI guides domain and permission level selection) lark-cli auth login # Filter by domain lark-cli auth login --domain calendar,task # Recommended auto-approval scopes lark-cli auth login --recommend # Exact scope lark-cli auth login --scope "calendar:calendar:read" # Agent mode: return verification URL immediately, non-blocking lark-cli auth login --domain calendar --no-wait # Resume polling later lark-cli auth login --device-code # Identity switching: execute commands as user or bot lark-cli calendar +agenda --as user lark-cli im +messages-send --as bot --chat-id "oc_xxx" --text "Hello" ``` ## Three-Layer Command System The CLI provides three levels of granularity, covering everything from quick operations to fully custom API calls: ### 1. Shortcuts Prefixed with `+`, designed to be friendly for both humans and AI, with smart defaults, table output, and dry-run previews. ```bash lark-cli calendar +agenda lark-cli im +messages-send --chat-id "oc_xxx" --text "Hello" lark-cli docs +create --api-version v2 --doc-format markdown --content $'Weekly Report\n# Progress\n- Completed feature X' ``` Run `lark-cli --help` to see all shortcut commands. ### 2. API Commands Auto-generated from Lark OAPI metadata, curated through evaluation and quality gates — 100+ commands mapped 1:1 to platform endpoints. ```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 Call any Lark Open Platform endpoint directly, covering 2500+ APIs. ```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 ### Output Formats ```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 ``` ### Pagination ```bash --page-all # Auto-paginate through all pages --page-limit 5 # Max 5 pages --page-delay 500 # 500ms between page requests ``` ### Dry Run For commands that may have side effects, preview the request with --dry-run first: ```bash lark-cli im +messages-send --chat-id oc_xxx --text "hello" --dry-run ``` ### Schema Introspection Use schema to inspect any API method's parameters, request body, response structure, supported identities, and scopes: ```bash lark-cli schema lark-cli schema calendar.events.instance_view lark-cli schema im.messages.delete ``` ## Security & Risk Warnings (Read Before Use) 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. 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. 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. Please fully understand all usage risks. By using this tool, you are deemed to voluntarily assume all related responsibilities. ## Star History [![Star History Chart](https://api.star-history.com/svg?repos=larksuite/cli&type=Date)](https://star-history.com/#larksuite/cli&Date) ## Contributing 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). For major changes, we recommend discussing with us first via an Issue. ## License 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: - [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) - [Lark User Terms of Service](https://www.larksuite.com/user-terms-of-service) - [Lark Privacy Policy](https://www.larksuite.com/privacy-policy) --- *Source: https://skills.yangsir.net/skill/daily-lark-approval* *Markdown mirror: https://skills.yangsir.net/api/skill/daily-lark-approval/markdown*