feishu

feishu is a skill for Claude Code, Codex from malue-ai/dazee-small. It costs 32 tokens per session (1,896 once invoked), scanned A, original, MIT.

A Feishu, also called Lark, integration for working with messages, documents, calendars, tasks, approvals, and meeting notes through the lark-oapi SDK.

In plain words
What is it for?
Use it to send or read messages, create and change calendar events, manage tasks, access documents, check approvals, and review meeting minutes.
Why use it?
It lets an agent handle common Feishu work from natural-language requests instead of switching between separate parts of the service. It requires an application with the appropriate permissions.

Skill for Claude CodeCodex

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

Good fit Use it to send or read messages, create and change calendar events, manage tasks, access documents, check approvals, and review meeting minutes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/malue-ai/dazee-small/feishu
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 malue-ai/dazee-small --skill feishu
Clone the repo
git clone --depth 1 https://github.com/malue-ai/dazee-small

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 feishu

README.md
[![agentmods](https://agentmods.dev/badge/skills/malue-ai/dazee-small/feishu/github.svg)](https://agentmods.dev/skills/malue-ai/dazee-small/feishu)
Your own site
<a href="https://agentmods.dev/skills/malue-ai/dazee-small/feishu"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/feishu/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.

agentmods 80×15 button for feishu

Your own site · 80×15
<a href="https://agentmods.dev/skills/malue-ai/dazee-small/feishu"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/feishu.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,896 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 original No closer match found 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 $0.00032 $0.01896
Opus 5 $0.00016 $0.00948
Sonnet 5 $0.00006 $0.00379
Haiku 4.5 $0.00003 $0.00190

Measured 8d ago against content hash c31990b76174, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

feishu 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 8d 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.

instances/xiaodazi/skills/feishu/SKILL.md · 253 lines

How it starts

The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.

飞书 (Feishu/Lark)

通过 lark-oapi SDK 操作飞书全生态:消息、文档、日历、任务、审批、妙记。中国团队的核心协作工具。

使用场景

消息

  • 用户说「在飞书上给 xxx 发个消息」「在 xxx 群里发个通知」
  • 用户说「飞书上有没有新消息?」「看看飞书群里最新的讨论」

文档

  • 用户说「帮我在飞书文档里创建一个周报」「搜索飞书里那个技术方案文档」
  • 用户说「把这段内容追加到飞书文档末尾」「读一下飞书知识库里的 XX」

日历

  • 用户说「帮我在飞书日历上建个会议」「看看我飞书日历上今天的安排」
  • 用户说「把会议改到周五」「取消明天的周会」

任务

  • 用户说「看看我飞书上有什么待办」「帮我加个飞书任务:周五前交报告」
  • 用户说「把飞书上那个任务标记为完成」

审批

  • 用户说「查看待我审批的流程」「我的请假申请审批到哪了?」

妙记(会议纪要)

  • 用户说「帮我看看上次周会的会议纪要」「把昨天的会议纪要总结一下」
  • 用户说「提取会议的行动项」

前置条件

  1. 在飞书开放平台(https://open.feishu.cn/)创建应用
  2. 获取 App ID 和 App Secret(如已配置飞书 Gateway 通道则可复用)
  3. 设置环境变量:
    export FEISHU_APP_ID="cli_xxxx"
    export FEISHU_APP_SECRET="xxxx"
    
  4. 在飞书管理后台为应用授权对应权限

执行方式

项目已安装 lark-oapi SDK,优先使用 SDK 而非原始 HTTP 调用。

初始化客户端

import lark_oapi as lark
import os

client = lark.Client.builder() \
    .app_id(os.environ["FEISHU_APP_ID"]) \
    .app_secret(os.environ["FEISHU_APP_SECRET"]) \
    .build()

发送消息

from lark_oapi.api.im.v1 import *
import json

request = CreateMessageRequest.builder() \
    .receive_id_type("chat_id") \
    .request_body(CreateMessageRequestBody.builder()
        .receive_id("目标群聊或用户ID")
        .msg_type("text")
        .content(json.dumps({"text": "消息内容"}))
        .build()) \
    .build()

response = client.im.v1.message.create(request)

富文本消息:

content = {
    "zh_cn": {
        "title": "周报通知",
        "content": [
            [{"tag": "text", "text": "请各位提交本周周报"}],
            [{"tag": "a", "text": "点击填写", "href": "https://..."}],
        ]
    }
}
# msg_type = "post"

获取群聊列表:

request = ListChatRequest.builder().build()
response = client.im.v1.chat.list(request)

文档操作

from lark_oapi.api.docx.v1 import *

# 读取文档内容
request = RawContentDocumentRequest.builder() \
    .document_id("文档ID") \
    .build()
response = client.docx.v1.document.raw_content(request)

# 创建文档
request = CreateDocumentRequest.builder() \
    .request_body(CreateDocumentRequestBody.builder()
        .title("文档标题")
        .folder_token("目标文件夹token")
        .build()) \
    .build()
response = client.docx.v1.document.create(request)

Read the full file on GitHub · 253 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. 8d ago First seen · 253 lines · 32 tokens per session scan A c31990b76174

Subscribe to this mod's changes

feishu is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 1,896 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.