lark-cli

中文版 | English

The official Lark/Feishu CLI tool, maintained by the 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.

Install · AI Agent Skills · Auth · Commands · Advanced · Security · Contributing

Why lark-cli?

• Agent-Native Design — 24 structured 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
• 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 (install separately)
🔗 Apps	Create Spark/Miaoda apps, publish HTML/static sites, run cloud generation, and manage access scope

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):

npx @larksuite/cli@latest install

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

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.

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

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

# 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 <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 --doc-format markdown --content $'<title>Weekly Report</title>\n# 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"}' --data '{"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

JSON Output Contract

With --format json (the default), success and error envelopes are distinct.

Success goes to stdout, exit code 0:

{ "ok": true, "identity": "user", "data": { "guid": "..." }, "meta": { "count": 1 } }

Errors go to stderr, non-zero exit code:

{ "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 for the full error taxonomy.

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

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.

Before opening a PR, see AGENTS.md for the local build, test, and PR checklist used by contributors and AI agents.

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
• Feishu Privacy Policy
• Feishu Open Platform App Service Provider Security Management Specifications
• Lark User Terms of Service
• Lark Privacy Policy