70c72a2c02
* feat(mail): auto-resolve local image paths in draft body HTML (#81)
Allow <img src="./local/path.png" /> in set_body/set_reply_body HTML.
Local file paths are automatically resolved into inline MIME parts with
generated CIDs, eliminating the need to manually pair add_inline with
set_body. Removing or replacing an <img> tag in the body automatically
cleans up or replaces the corresponding MIME inline part.
- Add postProcessInlineImages to unify resolve, validate, and orphan
cleanup into a single post-processing step
- Extract loadAndAttachInline shared helper to deduplicate addInline
and resolveLocalImgSrc logic
- Cache resolved paths so the same file is only attached once
- Use whitelist URI scheme detection instead of blacklist
- Remove dead validateInlineCIDAfterApply and
validateOrphanedInlineCIDAfterApply functions
Closes #81
* fix(mail): harden inline image CID handling
1. Fix imgSrcRegexp to skip attribute names like data-src/x-src that
contain "src" as a suffix — only match the real src attribute.
2. Sanitize cidFromFileName to replace whitespace with hyphens,
producing RFC-safe CID tokens (e.g. "my logo.png" → "my-logo").
3. Add CID validation in newInlinePart to reject spaces, tabs, angle
brackets, and parentheses — fail fast instead of silently producing
broken inline images in the sent email.
* refactor(mail): use UUID for auto-generated inline CIDs
Replace filename-derived CID generation (cidFromFileName + uniqueCID)
with UUID-based generation. UUIDs contain only [0-9a-f-] characters,
eliminating all RFC compliance risks from special characters, Unicode,
or filename collisions. Same-file deduplication via pathToCID cache
is preserved — multiple <img> tags referencing the same file still
share one MIME part and one CID.
* fix(mail): avoid panic in generateCID by using uuid.NewRandom
uuid.New() calls Must(NewRandom()) which panics if the random source
fails. Replace with uuid.NewRandom() and propagate the error through
resolveLocalImgSrc, so the CLI returns a clear error instead of
crashing in extreme environments.
* fix(mail): restore quote block hint in set_reply_body template description
The auto-resolve PR accidentally dropped "the quote block is
re-appended automatically" from the set_reply_body shape description.
Restore it alongside the new local-path support note.
* fix(mail): add orphan invariant comment and expand regex test coverage
- Add comment in postProcessInlineImages explaining that partially
attached inline parts on error are cleaned up by the next Apply.
- Add regex test cases: single-quoted src, multiple spaces before src,
and newline before src.
* fix(mail): use consistent inline predicate and safer HTML part lookup
1. removeOrphanedInlineParts: change condition from
ContentDisposition=="inline" && ContentID!="" to
isInlinePart(child) && ContentID!="", matching the predicate used
elsewhere — parts with only a ContentID (no Content-Disposition)
are now correctly cleaned up.
2. postProcessInlineImages: use findPrimaryBodyPart instead of
findPart(snapshot.Body, PrimaryHTMLPartID) to avoid stale PartID
after ops restructure the MIME tree.
* fix(mail): revert orphan cleanup to ContentDisposition check to protect HTML body
The previous change (d3d1982) broadened the orphan cleanup predicate to
isInlinePart(), which treats any part with a ContentID as inline. This
deletes the primary HTML body when it carries a Content-ID header
(valid in multipart/related), even on metadata-only edits like
set_subject.
Revert to the original ContentDisposition=="inline" && ContentID!=""
condition — only parts explicitly marked as inline attachments are
candidates for orphan removal. Add regression test covering
multipart/related with a Content-ID-bearing HTML body.
lark-cli
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, 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
| 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, workflows, forms, roles & permissions, 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 |
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
| 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 |
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: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
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: