lark-im

lark-im is a skill for Claude Code, Codex from yokingma/weclaws. It costs 87 tokens per session (2,878 once invoked), scanned A, a copy of lark-im, MIT.

A Feishu (Lark) messaging skill for sending messages and managing one-to-one and group chats. Feishu is a workplace chat and collaboration service.

In plain words
What is it for?
Use it to send or reply to messages, search chat history, manage group members and chats, and upload or download images and files.
Why use it?
It lets an agent work with chat conversations and shared files without manually searching through the messaging app.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to send or reply to messages, search chat history, manage group members and chats, and upload or download images and files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yokingma/weclaws/lark-im
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 yokingma/weclaws --skill lark-im
Clone the repo
git clone --depth 1 https://github.com/yokingma/weclaws

Made for: Claude Code, Codex.

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.

agentmods badge for lark-im

README.md
[![agentmods](https://agentmods.dev/badge/skills/yokingma/weclaws/lark-im.svg)](https://agentmods.dev/skills/yokingma/weclaws/lark-im)
Your own site
<a href="https://agentmods.dev/skills/yokingma/weclaws/lark-im"><img src="https://agentmods.dev/badge/skills/yokingma/weclaws/lark-im.svg" alt="Measured on agentmods" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,878 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 100% 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.02878
Opus 5 $0.00044 $0.01439
Sonnet 5 $0.00017 $0.00576
Haiku 4.5 $0.00009 $0.00288

Measured 7d ago against content hash 616e4093572a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 7d 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

100% identical to lark-im — 1 line 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.

resources/skills/managed/lark-im/SKILL.md · 163 lines

How it starts

The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

Resource Relationships

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

Important Notes

Identity and Token Mapping

  • --as user means user identity and uses user_access_token. Calls run as the authorized end user, so permissions depend on both the app scopes and that user's own access to the target chat/message/resource.
  • --as bot means bot identity and uses tenant_access_token. Calls run as the app bot, so behavior depends on the bot's membership, app visibility, availability range, and bot-specific scopes.
  • If an IM API says it supports both user and bot, the token type changes who the operator is. The same API can succeed with one identity and fail with the other because owner/admin status, chat membership, tenant boundary, or app availability are checked against the current caller.

Sender Name Resolution with Bot Identity

When using bot identity (--as bot) to fetch messages (e.g. +chat-messages-list, +threads-messages-list, +messages-mget), sender names may not be resolved (shown as open_id instead of display name). This happens when the bot cannot access the user's contact info.

Root cause: The bot's app visibility settings do not include the message sender, so the contact API returns no name.

Read the full file on GitHub · 163 lines

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.

  1. 7d ago First seen · 163 lines · 87 tokens per session scan A 616e4093572a

Subscribe to this mod's changes

lark-im is a skill published in the GitHub repository yokingma/weclaws (38 stars, last pushed 3mo ago), licensed MIT. It adds 87 tokens to every session and 2,878 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to lark-im, differing in 1 line, and is treated as a copy.

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