CLI(1)

NAME

cliA command-line tool for Lark/Feishu Open Platform — built for humans and AI Agents. Covers core business domains…

SYNOPSIS

$npm install -g @larksuite/cli

INFO

6.8k stars
400 forks
0 views

DESCRIPTION

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.

README

lark-cli

License: MIT Go Version npm version

中文版 | English

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

Why lark-cli?

  • 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

Features

CategoryCapabilities
📅 CalendarView agenda, create events, invite attendees, check free/busy status, time suggestions
💬 MessengerSend/reply messages, create and manage group chats, view chat history & threads, search messages, download media
📄 DocsCreate, read, update, and search documents, read/write media & whiteboards
📁 DriveUpload and download files, search docs & wiki, manage comments
📊 BaseCreate and manage tables, fields, records, views, dashboards, data aggregation & analytics
📈 SheetsCreate, read, write, append, find, and export spreadsheet data
✅ TasksCreate, query, update, and complete tasks; manage task lists, subtasks, comments & reminders
📚 WikiCreate and manage knowledge spaces, nodes, and documents
👤 ContactSearch users by name/email/phone, get user profiles
📧 MailBrowse, search, read emails, send, reply, forward, manage drafts, watch new mail
🎥 MeetingsSearch meeting records, query meeting minutes & recordings

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), which contains all the steps you need to complete.

Install

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 -g

Option 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

Configure & Use

# 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

# Install CLI
npm install -g @larksuite/cli

Install CLI SKILL (required)

npx skills add larksuite/cli -y -g

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.

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.

lark-cli auth login --recommend

Step 4 — Verify

lark-cli auth status

Agent Skills

SkillDescription
lark-sharedApp config, auth login, identity switching, scope management, security rules (auto-loaded by all other skills)
lark-calendarCalendar events, agenda view, free/busy queries, time suggestions
lark-imSend/reply messages, group chat management, message search, upload/download images & files, reactions
lark-docCreate, read, update, search documents (Markdown-based)
lark-driveUpload, download files, manage permissions & comments
lark-sheetsCreate, read, write, append, find, export spreadsheets
lark-baseTables, fields, records, views, dashboards, data aggregation & analytics
lark-taskTasks, task lists, subtasks, reminders, member assignment
lark-mailBrowse, search, read emails, send, reply, forward, draft management, watch new mail
lark-contactSearch users by name/email/phone, get user profiles
lark-wikiKnowledge spaces, nodes, documents
lark-eventReal-time event subscriptions (WebSocket), regex routing & agent-friendly format
lark-vcSearch meeting records, query meeting minutes (summary, todos, transcript)
lark-whiteboardWhiteboard/chart DSL rendering
lark-minutesMinutes metadata & AI artifacts (summary, todos, chapters)
lark-openapi-explorerExplore underlying APIs from official docs
lark-skill-makerCustom skill creation framework
lark-workflow-meeting-summaryWorkflow: meeting minutes aggregation & structured report
lark-workflow-standup-reportWorkflow: agenda & todo summary

Authentication

CommandDescription
auth loginOAuth login with interactive selection or CLI flags for scopes
auth logoutSign out and remove stored credentials
auth statusShow current login status and granted scopes
auth checkVerify a specific scope (exit 0 = ok, 1 = missing)
auth scopesList all available scopes for the app
auth listList 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"

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.

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.

2. API 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"}'

3. Raw API Calls

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\"}"}'

Advanced Usage

Output Formats

--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

--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:

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:

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

Contributing

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.

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:

SEE ALSO

clihub3/29/2026CLI(1)