A command-line tool for Lark/Feishu Open Platform — built for humans and AI Agents. Covers core business domains including Messenger, Docs, Base, Sheets, Calendar, Mail, Tasks, Meetings, and more, with 200+ commands and 19 AI Agent Skills.
Install · AI Agent Skills · Auth · Commands · Advanced · Security · Contributing
- Agent-Native Design — 19 structured Skills out of the box, compatible with popular AI tools — Agents can operate Lark with zero extra setup
- Wide Coverage — 11 business domains, 200+ curated commands, 19 AI Agent 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
| Category | Capabilities |
|---|---|
| 📅 Calendar | View agenda, create events, invite attendees, check free/busy status, 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 |
| 📊 Base | Create and manage tables, fields, records, views, dashboards, data aggregation & analytics |
| 📈 Sheets | Create, read, write, append, find, and export spreadsheet data |
| ✅ 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 |
| Browse, search, read emails, send, reply, forward, manage drafts, watch new mail | |
| 🎥 Meetings | Search meeting records, query meeting minutes & recordings |
Before you start, make sure you have:
- Node.js (
npm/npx) - Go
v1.23+ and Python 3 (only required for building from source)
Note for AI assistants: If you are an AI Agent helping the user with installation, jump directly to Quick Start (AI Agent), which contains all the steps you need to complete.
Choose one of the following methods:
Option 1 — From npm (recommended):
# Install CLI
npm install -g @larksuite/cli
# Install CLI SKILL (required)
npx skills add larksuite/cli -y -gOption 2 — From source:
Requires Go v1.23+ and Python 3.
git clone https://github.com/larksuite/cli.git
cd cli
make install
# Install CLI SKILL (required)
npx skills add larksuite/cli -y -g# 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 +agendaThe following steps are for AI Agents. Some steps require the user to complete actions in a browser.
Step 1 — Install
# Install CLI
npm install -g @larksuite/cli
# Install CLI SKILL (required)
npx skills add larksuite/cli -y -gStep 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.
lark-cli config init --newStep 3 — Login
Same as above: run in the background, extract the authorization URL and send it to the user.
lark-cli auth login --recommendStep 4 — Verify
lark-cli auth status| Skill | Description |
|---|---|
lark-shared |
App config, auth login, identity switching, scope management, security rules (auto-loaded by all other skills) |
lark-calendar |
Calendar events, agenda view, free/busy queries, time suggestions |
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-sheets |
Create, read, write, append, find, export spreadsheets |
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) |
lark-openapi-explorer |
Explore underlying APIs from official docs |
lark-skill-maker |
Custom skill creation framework |
lark-workflow-meeting-summary |
Workflow: meeting minutes aggregation & structured report |
lark-workflow-standup-report |
Workflow: agenda & todo summary |
| 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 |
# 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:readonly"
# 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 <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"The CLI provides three levels of granularity, covering everything from quick operations to fully custom API calls:
Prefixed with +, designed to be friendly for both humans and AI, with smart defaults, table output, and dry-run previews.
lark-cli calendar +agenda
lark-cli im +messages-send --chat-id "oc_xxx" --text "Hello"
lark-cli docs +create --title "Weekly Report" --markdown "# Progress\n- Completed feature X"Run lark-cli <service> --help to see all shortcut commands.
Auto-generated from Lark OAPI metadata, curated through evaluation and quality gates — 100+ commands mapped 1:1 to platform endpoints.
lark-cli calendar calendars list
lark-cli calendar events instance_view --params '{"calendar_id":"primary","start_time":"1700000000","end_time":"1700086400"}'Call any Lark Open Platform endpoint directly, covering 2500+ APIs.
lark-cli api GET /open-apis/calendar/v4/calendars
lark-cli api POST /open-apis/im/v1/messages --params '{"receive_id_type":"chat_id"}' --body '{"receive_id":"oc_xxx","msg_type":"text","content":"{\"text\":\"Hello\"}"}'--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--page-all # Auto-paginate through all pages
--page-limit 5 # Max 5 pages
--page-delay 500 # 500ms between page requestsFor commands that may have side effects, preview the request with --dry-run first:
lark-cli im +messages-send --chat-id oc_xxx --text "hello" --dry-runUse schema to inspect any API method's parameters, request body, response structure, supported identities, and scopes:
lark-cli schema
lark-cli schema calendar.events.instance_view
lark-cli schema im.messages.deleteThis 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.
Community contributions are welcome! If you find a bug or have feature suggestions, please submit an Issue or Pull Request.
For major changes, we recommend discussing with us first via an Issue.
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: