A tool for using Feishu instant messaging and group chats. It works with messages, replies, threads, files, reactions, bookmarks, members, and interactive message cards.

Use it to send or search messages, reply in threads, download files, manage group members and chats, add reactions or bookmarks, and process interactive card actions.

It brings chat operations into the coding agent while keeping messages, files, group management, and card interactions in one workflow. It can handle both one-to-one and group conversations.

lark-im — Skill for Claude Code by DropFan/claude-code-plugins

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add DropFan/claude-code-plugins --skill lark-im

Clone the repo

git clone --depth 1 https://github.com/DropFan/claude-code-plugins

Made for: Claude Code.

Or install lark, the plugin that ships this one along with the rest of its 28 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/dropfan/claude-code-plugins/lark-im/github.svg)](https://agentmods.dev/skills/dropfan/claude-code-plugins/lark-im)

Your own site

<a href="https://agentmods.dev/skills/dropfan/claude-code-plugins/lark-im"><img src="https://agentmods.dev/badge/skills/dropfan/claude-code-plugins/lark-im/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/dropfan/claude-code-plugins/lark-im"><img src="https://agentmods.dev/badge/skills/dropfan/claude-code-plugins/lark-im.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 6,667 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 88% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00140	$0.06667
Opus 5.5	$0.00056	$0.02667
Sonnet 5.5	$0.00028	$0.01333
Haiku 4.5	$0.00014	$0.00667

Measured 25d ago against content hash 202d7c4bdd3e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lark-im scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 25d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

88% identical to lark-im — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/lark/skills/lark-im/SKILL.md · 292 lines

How it starts

The opening of the file, as written. The whole thing — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.

⚙️ Cowork / Claude Desktop 执行环境说明（自动注入）

本技能依赖本地 lark-cli（@larksuite/cli，可用 command -v lark-cli 定位）及其 ~/.lark-cli 登录态（应用密钥存于 macOS keychain）。

在 Cowork 中运行任何 lark-cli 命令时，必须在本地 macOS 上执行（使用 Desktop Commander 的 start_process / interact_with_process，或其它本地 shell 工具），不要用隔离的 Linux 沙箱 mcp__workspace__bash——沙箱里没有 lark-cli、也读不到 keychain。执行前确保 npm 全局 bin 目录（npm prefix -g 输出目录下的 bin）在 PATH 中。

（在 Claude Code 中可忽略本说明，lark-cli 在本机 shell 直接可用。）

im (v1)

CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md，其中包含认证、权限处理

Core Concepts

Message: A single message in a chat, identified by message_id (om_xxx). Supports types: text, post, image, file, audio, video, sticker, interactive (card), share_chat, share_user, merge_forward, etc.
Chat: A group chat or P2P conversation, identified by chat_id (oc_xxx).
Thread: A reply thread under a message, identified by thread_id (om_xxx or omt_xxx).
Reaction: An emoji reaction on a message.
Flag: A bookmark on a message or thread.
Feed Shortcut: A chat pinned to the current user's feed sidebar, identified by feed_card_id (an oc_xxx open_chat_id for CHAT type).
Feed Group: A tag that groups feed cards in the feed list, identified by feed_group_id (ofg_xxx). Members are feed cards, each identified by feed_id + feed_type. Two types: normal (members managed explicitly) and rule (members auto-derived from rules).

Resource Relationships

Chat (oc_xxx)
├── Message (om_xxx)
│   ├── Thread (reply thread)
│   ├── Reaction (emoji)
│   └── Resource (image / file / video / audio)
└── Member (user / bot)

Important Notes

AppLink and Share Links

Prefer CLI-returned links: use chat_app_link to open joined conversations, message_app_link to open messages, and share_link to invite others to groups. If manually building a joined-conversation AppLink, use https://<applink_host>/client/chat/open?openChatId=<oc_xxx>, never chatId=<oc_xxx> or lark://...chat_id=<oc_xxx>.

Read the full file on GitHub · 292 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

25d ago Changed · +31 lines · -7 tokens per session 202d7c4bdd3e
1mo ago First seen · 261 lines · 147 tokens per session scan A 66d872929fff

Subscribe to this mod's changes

lark-im is a skill published in the GitHub repository DropFan/claude-code-plugins (8 stars, last pushed 26d ago), licensed MIT. It adds 140 tokens to every session and 6,667 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to lark-im, differing in 11 lines, and is treated as a copy.

Claude Code Productivity ai-coding ai-coding-assistant claude-code-plugins claude-code-plugins-marketplace claude-code-skills

session-relay

Continue real repository work between Claude Code, Codex CLI, and Grok Build with a privacy-bounded, drift-aware handoff packet. Use for cross-vendor takeover, context-limit checkpoints, multi-hop Claude→Codex→Grok relays, or receiving an existing Director packet. Use native resume commands for same-CLI history; never…

claude-world/director-mode-lite · 82 tokens

import-audio

Moves audio files to the correct album location with proper path structure. Use when the user has downloaded WAV files from Suno or other sources that need to be organized.

bitwize-music-studio/claude-ai-music-skills · 37 tokens

fly

Fly one thought to its destination across concurrent agents, on whatever the project and harness already have. Lands only when the user has accounted for every detail, never on an agent's say-so.

saadshahd/moo.md · 40 tokens

deepen

Hold an ask to the bar a top professional in its field would set — a deeper ask, never a bigger one. Use when an ask is clear but nothing yet names the sources, methods, target, or outside check the work will meet.

saadshahd/moo.md · 52 tokens

consult

Bring how named experts would think about the question. Use when the user wants expert thinking on a tradeoff, choice, or stuck problem — not a verdict.

saadshahd/moo.md · 34 tokens

setup

Use when installing or refreshing sound taste rules in a project — an explicit "sound setup", starting work in a repo with no .claude/sound/, or a taste-not-defined nudge. Also use to re-run after a stack change (new framework, new package in a monorepo).

saadshahd/moo.md · 62 tokens