Install the "feishu-lark" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/feishu-lark into .claude/skills/feishu-lark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-lark", 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.
Type 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.
skills CLI
$ npx skills add OpenClaudia/openclaudia-skills --skill feishu-lark -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "feishu-lark" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/feishu-lark into .agents/skills/feishu-lark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-lark", 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.
skills CLI
$ npx skills add OpenClaudia/openclaudia-skills --skill feishu-lark -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "feishu-lark" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/feishu-lark into .cursor/skills/feishu-lark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-lark", 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.
--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
skills CLI
$ npx skills add OpenClaudia/openclaudia-skills --skill feishu-lark -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "feishu-lark" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/feishu-lark into .gemini/skills/feishu-lark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-lark", 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.
Installs 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).
skills CLI
$ npx skills add OpenClaudia/openclaudia-skills --skill feishu-lark -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "feishu-lark" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/feishu-lark into .github/skills/feishu-lark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-lark", 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.
skills CLI
$ npx skills add OpenClaudia/openclaudia-skills --skill feishu-lark -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "feishu-lark" agent skill from https://github.com/OpenClaudia/openclaudia-skills/tree/main/skills/feishu-lark into .opencode/skills/feishu-lark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-lark", 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.
Facts
Skill name
feishu-lark
GitHub stars
713
Token cost
~7.4k tokens
SKILL.md length
1,166 words
Files
1
Skills in repo
74
Repo updated
First seen
Licence
MIT
At a glance
Send messages and interactive cards to Feishu (飞书) and Lark channels via webhooks or Bot API.
Works in 9 steps: Custom Bot Webhook Messages → Interactive Card Messages → App Bot API (Full Featured) → …
Phrases: post to feishu
SKILL.md covers Prerequisites, 1. Custom Bot Webhook Messages, 2. Interactive Card Messages and 3. App Bot API (Full Featured), plus 4 more sections
Calls curl, python3 and openssl; reaches open.feishu.cn and open.larksuite.com; needs FEISHU_APP_SECRET and FEISHU_WEBHOOK_SECRET
What it does
Feishu Lark is an agent skill from OpenClaudia/openclaudia-skills. Send messages and interactive cards to Feishu (飞书) and Lark channels via webhooks or Bot API. Create rich-text announcements, marketing updates, and team notifications. Trigger phrases: "post to feishu", "feishu message", "lark message", "feishu webhook", "lark webhook", "send to feishu", "send to lark", "feishu bot", "lark bot", "飞书", "飞书机器人".
Its SKILL.md is about 7.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Messaging and chat bots and Webhooks. It works with Feishu (Lark). The repository describes itself as: 77 open-source marketing skills for Claude Code, Codex, and other AI coding agents. SEO, content, email, ads, analytics, and growth. The licence is MIT.
Read from SKILL.md and the folder at commit 28bf209. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash
WebFetch
WebSearch
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
curl
python3
openssl
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
open.feishu.cn
open.larksuite.com
ads.google.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
FEISHU_APP_SECRET
FEISHU_WEBHOOK_SECRET
TENANT_TOKEN
IMAGE_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Feishu Lark loads about 7.4k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 1,166 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~90
When it runs· the whole SKILL.md, loaded when a task matches
~7.4k
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.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
NoteMentions a .env fileSKILL.md:43
> 5. Copy the webhook URL and add to `.env`:
NoteMentions a .env fileSKILL.md:53
ublish and approve the app, then add to `.env`:
NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash, WebFetch, WebSearch
Automated 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); files beside SKILL.md are not scanned.
Download SKILL.mdSave it as .claude/skills/feishu-lark/SKILL.md (or your agent's skills folder).
name
feishu-lark
description
Send messages and interactive cards to Feishu (飞书) and Lark channels via webhooks or Bot API. Create rich-text announcements, marketing updates, and team notifications. Trigger phrases: "post to feishu", "feishu message", "lark message", "feishu webhook", "lark webhook", "send to feishu", "send to lark", "feishu bot", "lark bot", "飞书", "飞书机器人".
allowed-tools
Bash, WebFetch, WebSearch
Feishu / Lark Messaging Skill
You are a messaging specialist for Feishu (飞书, ByteDance's Chinese workplace platform) and Lark (the international version). Your job is to send messages, interactive cards, and marketing content to Feishu/Lark group chats via Custom Bot Webhooks or the App Bot API.
Prerequisites
Check which credentials are available:
bash
echo "FEISHU_WEBHOOK_URL is ${FEISHU_WEBHOOK_URL:+set}"
echo "FEISHU_WEBHOOK_SECRET is ${FEISHU_WEBHOOK_SECRET:+set}"
echo "FEISHU_APP_ID is ${FEISHU_APP_ID:+set}"
echo "FEISHU_APP_SECRET is ${FEISHU_APP_SECRET:+set}"
curl -s -X POST "${FEISHU_WEBHOOK_URL}" \
-H "Content-Type: application/json" \
-d '{
"msg_type": "text",
"content": {
"text": "Hello from OpenClaudia! This is a test message."
}
}'
At-mention everyone in the group:
bash
curl -s -X POST "${FEISHU_WEBHOOK_URL}" \
-H "Content-Type: application/json" \
-d '{
"msg_type": "text",
"content": {
"text": "<at user_id=\"all\">Everyone</at> Important announcement: new release is live!"
}
}'
1.2 Rich Text Message (Post)
Rich text supports bold, links, at-mentions, and images in a structured format.
curl -s -X POST "${FEISHU_WEBHOOK_URL}" \
-H "Content-Type: application/json" \
-d '{
"msg_type": "interactive",
"card": {
"header": {
"title": {
"tag": "plain_text",
"content": "New Feature Launch: AI-Powered Analytics"
},
"template": "turquoise"
},
"elements": [
{
"tag": "markdown",
"content": "We are thrilled to announce our latest feature!\n\n**AI-Powered Analytics** is now available to all Pro and Enterprise users.\n\nKey highlights:\n- **Smart Insights**: Automatic trend detection and anomaly alerts\n- **Natural Language Queries**: Ask questions in plain English\n- **Predictive Forecasting**: 90-day revenue and growth projections\n- **Custom Dashboards**: Drag-and-drop report builder"
},
{
"tag": "hr"
},
{
"tag": "markdown",
"content": "**Availability:** Rolling out now, fully live by end of week\n**Documentation:** [View the guide](https://example.com/docs/analytics)\n**Feedback:** Reply in this thread or submit via [feedback form](https://example.com/feedback)"
},
{
"tag": "action",
"actions": [
{
"tag": "button",
"text": {"tag": "plain_text", "content": "Try It Now"},
"type": "primary",
"url": "https://example.com/analytics"
},
{
"tag": "button",
"text": {"tag": "plain_text", "content": "Read Docs"},
"type": "default",
"url": "https://example.com/docs/analytics"
}
]
},
{
"tag": "note",
"elements": [
{"tag": "plain_text", "content": "Product Team | Released 2025-01-15"}
]
}
]
}
}'
3. App Bot API (Full Featured)
The App Bot API requires FEISHU_APP_ID and FEISHU_APP_SECRET. It provides full messaging capabilities including sending to any chat, uploading images, and managing messages.
3.1 Get Tenant Access Token
All App Bot API calls require a tenant_access_token. Tokens expire after 2 hours.
When sending messages that need both Chinese and English content, use the rich text post format which supports multiple locales. Feishu will display the locale matching the user's language setting.
Feishu Lark 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.
Feishu Lark compared with similar skills
Skill
Stars
Used in
Tokens
Auto-check
Licence
Repo updated
Feishu Lark this skillOpenClaudia/openclaudia-skills
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Send messages and interactive cards to Feishu (飞书) and Lark channels via webhooks or Bot API. Feishu Lark is an agent skill from OpenClaudia/openclaudia-skills. Send messages and interactive cards to Feishu (飞书) and Lark channels via webhooks or Bot API.
When should I use Feishu Lark?
Feishu Lark fits situations like: phrases: post to feishu; tasks that involve Messaging and chat bots; tasks that involve Webhooks.
How do I install Feishu Lark in Claude Code?
Run `npx skills add OpenClaudia/openclaudia-skills --skill feishu-lark -a claude-code`. Or copy the skill folder (skills/feishu-lark in OpenClaudia/openclaudia-skills) into .claude/skills/feishu-lark in your project. Claude Code loads it when a task matches its description.
How do I install Feishu Lark in Codex?
Run `npx skills add OpenClaudia/openclaudia-skills --skill feishu-lark -a codex`. Or copy the skill folder (skills/feishu-lark in OpenClaudia/openclaudia-skills) into .agents/skills/feishu-lark in your project. Codex loads it when a task matches its description.
Can I use Feishu Lark in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OpenClaudia/openclaudia-skills --skill feishu-lark -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-lark, .gemini/skills/feishu-lark, .github/skills/feishu-lark and .opencode/skills/feishu-lark in your project.
What does Feishu Lark need to run?
Going by SKILL.md and its folder, Feishu Lark needs the command-line tools its instructions call (curl, python3 and openssl) and credentials named FEISHU_APP_SECRET, FEISHU_WEBHOOK_SECRET, TENANT_TOKEN and IMAGE_KEY. Our summary lists: Python 3; A credential in FEISHU_WEBHOOK_SECRET; A credential in FEISHU_APP_SECRET. Its frontmatter pre-approves these tools: Bash, WebFetch, WebSearch.
Does Feishu Lark access the network?
SKILL.md names 3 domains. In commands or code: open.feishu.cn, open.larksuite.com and ads.google.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Is Feishu Lark safe to install?
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. Review the folder before installing.
What licence does Feishu Lark use?
Feishu Lark is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Feishu Lark use?
About 7.4k tokens (SKILL.md is roughly 29k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Feishu Lark?
Skills that share tags, products or a category with Feishu Lark: Paper Feishu Digest (chtc66/academic-skills, 360 stars), Feishu Bridge (AlexAnys/feishu-openclaw, 317 stars), Lark Event (rongxinzy/RongxinAI, 154 stars) and Lark Event (appleweiping/WEIPING_WIKI, 119 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Feishu Lark?
OpenClaudia (a GitHub organization) maintains it in OpenClaudia/openclaudia-skills, which has 713 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on September 18, 2026.