Feishu Doc
openclaw/openclaw
Feishu document read/write workflows. An agent skill from openclaw/openclaw.
飞书 (Lark/Feishu) 与 OpenClaw 的双向集成通道。通过飞书机器人实现消息的接收和发送,支持私聊、群聊、@提及检测、卡片消息、文件传输。当需要通过飞书与 AI 助手交互、接收飞书消息触发 AI 响应、或从 OpenClaw 发送消息到飞书时使用此技能。与 feishu-automation 的区别:本 skill 专注于消息通道集成,feishu-automation…
$ npx skills add aAAaqwq/AGI-Super-Team --skill feishu-channel -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team feishu-channel --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/feishu-channel .claude/skills/feishu-channel && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "feishu-channel" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/feishu-channel into .claude/skills/feishu-channel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-channel", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/feishu-channelType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aAAaqwq/AGI-Super-Team --skill feishu-channel -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team feishu-channel --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/feishu-channel .agents/skills/feishu-channel && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "feishu-channel" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/feishu-channel into .agents/skills/feishu-channel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-channel", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aAAaqwq/AGI-Super-Team --skill feishu-channel -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team feishu-channel --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/feishu-channel .cursor/skills/feishu-channel && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "feishu-channel" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/feishu-channel into .cursor/skills/feishu-channel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-channel", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aAAaqwq/AGI-Super-Team.git --path skills/feishu-channel--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aAAaqwq/AGI-Super-Team --skill feishu-channel -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team feishu-channel --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/feishu-channel .gemini/skills/feishu-channel && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "feishu-channel" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/feishu-channel into .gemini/skills/feishu-channel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-channel", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aAAaqwq/AGI-Super-Team feishu-channelInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aAAaqwq/AGI-Super-Team --skill feishu-channel -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/feishu-channel .github/skills/feishu-channel && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "feishu-channel" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/feishu-channel into .github/skills/feishu-channel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-channel", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aAAaqwq/AGI-Super-Team --skill feishu-channel -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team feishu-channel --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/feishu-channel .opencode/skills/feishu-channel && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "feishu-channel" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/feishu-channel into .opencode/skills/feishu-channel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-channel", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
feishu-channel飞书 (Lark/Feishu) 与 OpenClaw 的双向集成通道。通过飞书机器人实现消息的接收和发送,支持私聊、群聊、@提及检测、卡片消息、文件传输。当需要通过飞书与 AI 助手交互、接收飞书消息触发 AI 响应、或从 OpenClaw 发送消息到飞书时使用此技能。与 feishu-automation 的区别:本 skill 专注于消息通道集成,feishu-automation…
Feishu Channel is an agent skill from aAAaqwq/AGI-Super-Team. 飞书 (Lark/Feishu) 与 OpenClaw 的双向集成通道。通过飞书机器人实现消息的接收和发送,支持私聊、群聊、@提及检测、卡片消息、文件传输。当需要通过飞书与 AI 助手交互、接收飞书消息触发 AI 响应、或从 OpenClaw 发送消息到飞书时使用此技能。与 feishu-automation 的区别:本 skill 专注于消息通道集成,feishu-automation 专注于飞书平台自动化操作(多维表格、文档等)。
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `TODO.md`, `package.json` and `references/feishu-api.md`).
It sits in Productivity & Automation, covering Messaging and chat bots. It works with Feishu (Lark). The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.
10 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7cefd81. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
mcp__lark-mcp_*BashReadWriteEditFrom allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
npmcurlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
open.feishu.cnFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
FEISHU_APP_SECRETFEISHU_VERIFICATION_TOKENFEISHU_ENCRYPT_KEYOPENCLAW_WEBHOOK_SECRETFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Feishu Channel loads about 2k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 260 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
cp .env.example .env# 编辑 .env 填入配置### 环境变量 (.env)allowed-tools: mcp__lark-mcp_*, Bash, Read, Write, EditAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from aAAaqwq/AGI-Super-Team at commit 7cefd81, republished under its MIT licence (© aAAaqwq). 260 words, ~2,042 tokens.
.claude/skills/feishu-channel/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.将飞书接入 OpenClaw,实现双向消息通道。
| 特性 | feishu-channel | feishu-automation |
|---|---|---|
| 主要用途 | 消息通道集成 | 平台自动化操作 |
| 消息接收 | ✅ Webhook 事件订阅 | ❌ 不支持 |
| 消息发送 | ✅ 实时对话 | ✅ 通知推送 |
| 多维表格 | ❌ 不涉及 | ✅ 完整支持 |
| 文档管理 | ❌ 不涉及 | ✅ 完整支持 |
| 适用场景 | AI 对话机器人 | 数据同步、自动化工作流 |
┌─────────────┐ ┌──────────────────┐ ┌─────────────┐
│ 飞书用户 │ ←→ │ 飞书开放平台 │ ←→ │ OpenClaw │
│ (私聊/群聊) │ │ (Webhook) │ │ Gateway │
└─────────────┘ └──────────────────┘ └─────────────┘
↓
┌──────────────────┐
│ Webhook 服务 │
│ - 事件验证 │
│ - 消息解析 │
│ - 格式转换 │
└──────────────────┘在飞书开放平台创建的企业自建应用,负责:
接收飞书事件推送,转发给 OpenClaw Gateway。
通过 lark-mcp 工具或直接调用飞书 API 发送消息。
https://your-domain.com/webhook/feishuim.message.receive_v1 - 接收消息im.message.message_read_v1 - 消息已读(可选)cd /home/aa/clawd/skills/feishu-channel
npm install
cp .env.example .env
# 编辑 .env 填入配置
npm start# 飞书应用配置 (必需)
FEISHU_APP_ID=cli_xxxxxxxxxx
FEISHU_APP_SECRET=xxxxxxxxxxxxxxxxxxxxxxxx
# 事件订阅验证 Token
FEISHU_VERIFICATION_TOKEN=xxxxxxxxxxxxxxxx
# 事件加密 Key (可选,推荐启用)
FEISHU_ENCRYPT_KEY=xxxxxxxxxxxxxxxx
# OpenClaw Gateway 配置
OPENCLAW_GATEWAY_URL=http://127.0.0.1:18789
OPENCLAW_WEBHOOK_SECRET=your_webhook_secret
# 安全配置
# 允许的用户 open_id (逗号分隔,留空允许所有)
ALLOWED_USERS=ou_xxx,ou_yyy
# 允许的群聊 chat_id (逗号分隔,留空允许所有)
ALLOWED_GROUPS=oc_xxx,oc_yyy
# 群聊行为
REQUIRE_MENTION_IN_GROUP=true
# 服务端口
PORT=3002
# 日志级别
LOG_LEVEL=info| 权限 | 说明 | 必需 |
|---|---|---|
im:message | 获取与发送单聊、群组消息 | ✅ |
im:message.group_at_msg | 接收群聊中@机器人消息 | ✅ |
im:message.p2p_msg | 接收用户发给机器人的单聊消息 | ✅ |
im:chat | 获取群组信息 | 推荐 |
contact:user.base | 获取用户基本信息 | 推荐 |
im:resource | 获取与上传图片或文件资源 | 可选 |
{
"channels": {
"feishu": {
"enabled": true,
"appId": "cli_xxxxxxxxxx",
"appSecret": "env:FEISHU_APP_SECRET",
"webhookUrl": "https://your-domain.com/webhook/feishu",
"dmPolicy": "allowlist",
"allowFrom": ["ou_xxx", "ou_yyy"],
"groups": {
"oc_xxx": {
"name": "工作群",
"requireMention": true
}
}
}
}
}飞书原始事件格式:
{
"schema": "2.0",
"header": {
"event_id": "xxx",
"event_type": "im.message.receive_v1",
"create_time": "1706745600000",
"token": "verification_token",
"app_id": "cli_xxx"
},
"event": {
"sender": {
"sender_id": {
"open_id": "ou_xxx",
"user_id": "xxx",
"union_id": "on_xxx"
},
"sender_type": "user"
},
"message": {
"message_id": "om_xxx",
"root_id": "",
"parent_id": "",
"create_time": "1706745600000",
"chat_id": "oc_xxx",
"chat_type": "group",
"message_type": "text",
"content": "{\"text\":\"@_user_1 你好\"}",
"mentions": [
{
"key": "@_user_1",
"id": {
"open_id": "ou_bot"
},
"name": "OpenClaw助手"
}
]
}
}
}转换后的 OpenClaw 格式:
{
"type": "message",
"channel": "feishu",
"messageId": "om_xxx",
"from": {
"id": "ou_xxx",
"name": "张三"
},
"chat": {
"id": "oc_xxx",
"type": "group",
"name": "工作群"
},
"text": "你好",
"mentions": ["ou_bot"],
"isMentioned": true,
"timestamp": 1706745600000
}// 发送文本消息
await mcp__lark-mcp_sendMessage({
receive_id: "ou_xxx", // 或 oc_xxx (群聊)
receive_id_type: "open_id", // 或 chat_id
msg_type: "text",
content: JSON.stringify({
text: "收到,正在处理..."
})
});
// 发送富文本消息
await mcp__lark-mcp_sendMessage({
receive_id: "oc_xxx",
receive_id_type: "chat_id",
msg_type: "post",
content: JSON.stringify({
zh_cn: {
title: "任务完成",
content: [
[
{ tag: "text", text: "已完成 " },
{ tag: "a", text: "查看详情", href: "https://example.com" }
]
]
}
})
});
// 发送卡片消息
await mcp__lark-mcp_sendMessage({
receive_id: "oc_xxx",
receive_id_type: "chat_id",
msg_type: "interactive",
content: JSON.stringify({
config: { wide_screen_mode: true },
header: {
template: "turquoise",
title: { content: "通知", tag: "plain_text" }
},
elements: [
{
tag: "div",
text: { content: "**重要通知**", tag: "lark_md" }
},
{
tag: "action",
actions: [
{
tag: "button",
text: { content: "确认", tag: "plain_text" },
type: "primary"
}
]
}
]
})
});# 发送文本消息
curl -X POST "https://open.feishu.cn/open-apis/im/v1/messages?receive_id_type=open_id" \
-H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"receive_id": "ou_xxx",
"msg_type": "text",
"content": "{\"text\":\"Hello!\"}"
}'飞书事件订阅支持两种验证方式:
// 验证示例
function verifyEvent(body, token) {
if (body.token !== token) {
throw new Error('Invalid verification token');
}
}
// 解密示例
function decryptEvent(encrypt, key) {
const crypto = require('crypto');
const decipher = crypto.createDecipheriv(
'aes-256-cbc',
crypto.createHash('sha256').update(key).digest(),
Buffer.alloc(16, 0)
);
return JSON.parse(
decipher.update(encrypt, 'base64', 'utf8') + decipher.final('utf8')
);
}| 策略 | 说明 |
|---|---|
open | 允许所有人私聊(危险) |
allowlist | 仅允许 allowFrom 列表中的用户 |
| 配置 | 说明 |
|---|---|
requireMention: true | 必须@机器人才响应 |
allowFrom | 群内允许触发的用户列表 |
用户: @OpenClaw助手 帮我查一下今天的会议安排
Bot: 今天的会议安排:
- 10:00 产品评审会 (会议室A)
- 14:00 技术分享会 (线上)
- 16:00 周例会 (会议室B)// 当任务完成时发送通知
await mcp__lark-mcp_sendMessage({
receive_id: "oc_work_group",
receive_id_type: "chat_id",
msg_type: "interactive",
content: JSON.stringify({
header: {
template: "green",
title: { content: "✅ 任务完成", tag: "plain_text" }
},
elements: [
{
tag: "div",
text: { content: "数据同步任务已完成\n处理记录: 1,234 条", tag: "lark_md" }
}
]
})
});用户: @OpenClaw助手 提交请假申请,明天休息一天
Bot: 已收到请假申请,正在提交审批...
[卡片消息: 请假申请详情 + 审批按钮]scripts/feishu-webhook.js - Webhook 服务代码.env.example - 环境变量模板references/feishu-api.md - 飞书 API 参考references/message-types.md - 消息类型说明© aAAaqwq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (scripts, references) in skills/feishu-channel of aAAaqwq/AGI-Super-Team.
Open the folder on GitHubat commit 7cefd81
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aAAaqwq/AGI-Super-Team, which our catalogue first saw on October 7, 2026.
Feishu Channel next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Feishu Channel this skillaAAaqwq/AGI-Super-Team | 105 | 1 repos | ~2k | Automated safety check: Notes | MIT | |
| Feishu Docopenclaw/openclaw | 392k | — | ~516 | Automated safety check: Pass | MIT | |
| Feishu Docraucvr/Group-Goki | 112 | 3 repos | ~592 | Automated safety check: Pass | MIT | |
| Feishu Driveraucvr/Group-Goki | 112 | 3 repos | ~587 | Automated safety check: Pass | MIT | |
| Feishu Permraucvr/Group-Goki | 112 | 3 repos | ~630 | Automated safety check: Pass | MIT | |
| Feishu Safety GuideSafeAI-Lab-X/ClawKeeper | 1k | — | ~3.6k | Automated safety check: Pass | None |
openclaw/openclaw
Feishu document read/write workflows. An agent skill from openclaw/openclaw.
raucvr/Group-Goki
Feishu document read/write operations. An agent skill from raucvr/Group-Goki.
raucvr/Group-Goki
Feishu cloud storage file management. An agent skill from raucvr/Group-Goki.
raucvr/Group-Goki
Feishu permission management for documents and files. An agent skill from raucvr/Group-Goki.
SafeAI-Lab-X/ClawKeeper
One-click deployment Skill for Feishu security governance and message anti-data-leakage guide, responsible for Feishu message security, credential protection, permission auditing, interaction…
y49/tlive
tlive — remote approvals (Telegram/Feishu/web), live web terminal, and session monitoring for Claude Code / Codex.
aAAaqwq/AGI-Super-Team
Create SEO-optimized marketing content with consistent brand voice.
aAAaqwq/AGI-Super-Team
Advanced financial calculator with future value tables, present value, discount calculations, markup pricing, and compound interest.
aAAaqwq/AGI-Super-Team
Transaction-verified trading signals on Base blockchain. An agent skill from aAAaqwq/AGI-Super-Team.
aAAaqwq/AGI-Super-Team
Register AI agents on Ethereum mainnet using ERC-8004 (Trustless Agents).
aAAaqwq/AGI-Super-Team
Create distinctive, production-grade static sites with React, Tailwind CSS, and shadcn/ui — no mockups needed.
aAAaqwq/AGI-Super-Team
Publish and manage content on 知识星球 (zsxq.com). An agent skill from aAAaqwq/AGI-Super-Team.
Works with
Categories
飞书 (Lark/Feishu) 与 OpenClaw 的双向集成通道。通过飞书机器人实现消息的接收和发送,支持私聊、群聊、@提及检测、卡片消息、文件传输。当需要通过飞书与 AI 助手交互、接收飞书消息触发 AI 响应、或从 OpenClaw 发送消息到飞书时使用此技能。与 feishu-automation 的区别:本 skill 专注于消息通道集成,feishu-automation…. Feishu Channel is an agent skill from aAAaqwq/AGI-Super-Team.
Feishu Channel fits situations like: tasks that involve Messaging and chat bots.
Run `npx skills add aAAaqwq/AGI-Super-Team --skill feishu-channel -a claude-code`. Or copy the skill folder (skills/feishu-channel in aAAaqwq/AGI-Super-Team) into .claude/skills/feishu-channel in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aAAaqwq/AGI-Super-Team --skill feishu-channel -a codex`. Or copy the skill folder (skills/feishu-channel in aAAaqwq/AGI-Super-Team) into .agents/skills/feishu-channel in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aAAaqwq/AGI-Super-Team --skill feishu-channel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feishu-channel, .gemini/skills/feishu-channel, .github/skills/feishu-channel and .opencode/skills/feishu-channel in your project.
Going by SKILL.md and its folder, Feishu Channel needs JavaScript for the scripts in its folder, the command-line tools its instructions call (npm and curl) and credentials named FEISHU_APP_SECRET, FEISHU_VERIFICATION_TOKEN, FEISHU_ENCRYPT_KEY and OPENCLAW_WEBHOOK_SECRET. Our summary lists: Node.js; A credential in FEISHU_APP_SECRET; A credential in FEISHU_VERIFICATION_TOKEN. Its frontmatter pre-approves these tools: mcp__lark-mcp_*, Bash, Read, Write, Edit.
SKILL.md names 1 domain. In commands or code: open.feishu.cn; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file; pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Feishu Channel is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Feishu Channel: Feishu Doc (openclaw/openclaw, 392k stars), Feishu Doc (raucvr/Group-Goki, 112 stars), Feishu Drive (raucvr/Group-Goki, 112 stars) and Feishu Perm (raucvr/Group-Goki, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 167 skills in this directory. The repository was last updated on October 8, 2026.
Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.