gem-hunter
Language: Go
The official Lark/飞书 CLI tool, maintained by the larksuite team — 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 20+ AI Agent Skills.
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 · Enterprise · Security · Contributing
npm install| You are... | Recommended path |
|---|---|
| An individual developer — using lark-cli in your terminal or with your own AI Agent | Follow the Quick Start below |
| Enterprise IT / ISV — embedding lark-cli into your own Agent or platform, with centralized credentials (database / Vault / config center), unified audit logging, and a restricted command surface | Read Embed lark-cli in your Agent and the extension/ packages — extend via a wrapper main, no need to modify CLI source |
💡 For AI Agents: append
.mdto any Open Platform doc URL to fetch it as raw Markdown, e.g.embed-feishu-cli-in-agent.md.
| 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 |
| Browse, search, read emails, send, reply, forward, manage drafts, watch new mail | |
| 🎥 Meetings | Search live and historical meetings, inspect participants and artifacts, analyze transcripts, manage Minutes, and assist in meetings |
| 🕐 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 |
Before you start, make sure you have:
npm/npx)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):
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
# 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
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
| 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-meeting |
Search live or historical meetings, inspect participants and artifacts, analyze transcripts, manage Minutes, and assist in meetings |
lark-whiteboard |
Whiteboard/chart DSL rendering |
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. |
| 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> # DPoP (Demonstrating Proof of Possession) is enabled in preferred mode by default for new local credentials lark-cli config set dpop preferred # Or disable DPoP lark-cli config set dpop disabled # Or require DPoP without Bearer fallback lark-cli config set dpop required # Re-authorize after choosing a different policy lark-cli auth login # 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 --doc-format markdown --content $'<title>Weekly Report</title>\n# 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"}' --data '{"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
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.
--page-all # Auto-paginate through all pages --page-limit 5 # Max 5 pages --page-delay 500 # 500ms between page requests
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-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.delete
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.
To reduce the security risks associated with access token theft, the CLI sends a minimal set of risk-control signals with OpenAPI requests made to exact official Feishu/Lark HTTPS domains. These signals are used to help identify anomalous API activity. This protection is enabled by default. The information sent is limited to:
To disable this protection for the current workspace, run:
lark-cli config risk-control off
To enable this protection for the current workspace, run:
lark-cli config risk-control on
To restore the default policy for the current workspace, run:
lark-cli config risk-control default
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.
Before opening a PR, see AGENTS.md for the local build, test, and PR checklist used by contributors and AI agents.
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: