Feishu
codewhale-hq/Codewhale
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.
$ npx skills add aahl/skills --skill mcp-lark -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aahl/skills mcp-lark --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/aahl/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mcp-lark .claude/skills/mcp-lark && 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 "mcp-lark" agent skill from https://github.com/aahl/skills/tree/main/skills/mcp-lark into .claude/skills/mcp-lark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp-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.
$skill-installer install https://github.com/aahl/skills/tree/main/skills/mcp-larkType 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 aahl/skills --skill mcp-lark -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aahl/skills mcp-lark --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aahl/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mcp-lark .agents/skills/mcp-lark && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mcp-lark" agent skill from https://github.com/aahl/skills/tree/main/skills/mcp-lark into .agents/skills/mcp-lark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp-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.
$ npx skills add aahl/skills --skill mcp-lark -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aahl/skills mcp-lark --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aahl/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mcp-lark .cursor/skills/mcp-lark && 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 "mcp-lark" agent skill from https://github.com/aahl/skills/tree/main/skills/mcp-lark into .cursor/skills/mcp-lark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp-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.
$ gemini skills install https://github.com/aahl/skills.git --path skills/mcp-lark--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 aahl/skills --skill mcp-lark -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aahl/skills mcp-lark --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aahl/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mcp-lark .gemini/skills/mcp-lark && 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 "mcp-lark" agent skill from https://github.com/aahl/skills/tree/main/skills/mcp-lark into .gemini/skills/mcp-lark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp-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.
$ gh skill install aahl/skills mcp-larkInstalls 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 aahl/skills --skill mcp-lark -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aahl/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mcp-lark .github/skills/mcp-lark && 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 "mcp-lark" agent skill from https://github.com/aahl/skills/tree/main/skills/mcp-lark into .github/skills/mcp-lark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp-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.
$ npx skills add aahl/skills --skill mcp-lark -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aahl/skills mcp-lark --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aahl/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mcp-lark .opencode/skills/mcp-lark && 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 "mcp-lark" agent skill from https://github.com/aahl/skills/tree/main/skills/mcp-lark into .opencode/skills/mcp-lark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp-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.
mcp-larkBased on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.
MCP Lark is an agent skill from aahl/skills. Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.
Its SKILL.md is about 390 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/message_create.md`).
It sits in Productivity & Automation, covering Messaging and chat bots. It works with Model Context Protocol, Feishu (Lark) and OpenAPI. The repository describes itself as: AAHL's Agent Skills. 汇集了多种实用的智能体技能,涵盖Home Assistant智能家居控制、微软Edge TTS和智谱GLM-TTS文本转语音、DuckDuckGo搜索、DeepWiki文档检索、加密货币行情、天气预报、Lark/飞书、影视搜索、商品比价等功能. The licence is MIT.
Read from SKILL.md and the folder at commit 47edd62. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
npxjqFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
open.larksuite.comopen.feishu.cnFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
MCP Lark loads about 387 tokens when it runs, and up to ~6.7k if it reads all its reference files. Until then it costs about 41 tokens; SKILL.md has 88 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.
Prioritize fetching from `.env` under the workspace, then use system environment variables. If not configured, ask the uAutomated 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.
The full file from aahl/skills at commit 47edd62, republished under its MIT licence (© aahl). 88 words, ~387 tokens.
.claude/skills/mcp-lark/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Need to login to the Lark MCP Configuration Platform to add MCP services, obtain the MCP URL, and configure it into environment variables.
Prioritize fetching from .env under the workspace, then use system environment variables. If not configured, ask the user for input and update it to .env.
# Configure multiple MCP service URLs and usage scenarios in environment variables
LARK_MCP_SERVERS='
open.larksuite.com/mcp/stream/xxx:Chats and Mails;
open.larksuite.com/mcp/stream/yyy:Cloud documents;
'npx -y mcporter list 'open.larksuite.com/mcp/stream/<token>' --all-parameters
# Get the schema of the specified tool
npx -y mcporter list 'open.larksuite.com/mcp/stream/<token>' --json | jq '.tools[] | select(.name == "<tool_name>")'npx -y mcporter call 'open.larksuite.com/mcp/stream/<token>.<tool_name>' param1:"value1" foo:"bar"mcporterTo improve compatibility, use npx -y mcporter instead of mcporter when executing commands.
© aahl, 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 1 other file (references) in skills/mcp-lark of aahl/skills.
Open the folder on GitHubat commit 47edd62
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aahl/skills, which our catalogue first saw on October 7, 2026.
MCP 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| MCP Lark this skillaahl/skills | 162 | 1 repos | ~387 | Automated safety check: Notes | MIT | |
| Feishucodewhale-hq/Codewhale | 41k | — | ~413 | Automated safety check: Pass | MIT | |
| Feishu SetupAgentTeam-TaichuAI/ScienceClaw | 671 | — | ~425 | Automated safety check: Pass | None | |
| Feishu ToolsThinkInAIXYZ/deepchat | 6.4k | — | ~652 | Automated safety check: Pass | Apache-2.0 | |
| Sibyl Lark SyncSibyl-Research-Team/AutoResearch-SibylSystem | 283 | — | ~1.9k | Automated safety check: Notes | None | |
| Feishu AutomationaAAaqwq/AGI-Super-Team | 105 | 1 repos | ~2.3k | Automated safety check: Notes | MIT |
codewhale-hq/Codewhale
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
AgentTeam-TaichuAI/ScienceClaw
自动配置飞书机器人应用。当用户要求配置飞书、创建飞书机器人、接入 Lark/飞书、设置飞书 appid/appsecret、或询问如何配置飞书 IM 时触发此 skill。该 skill 通过 sandbox 内置浏览器自动完成飞书开放平台上的应用创建、权限配置、事件订阅和发布,用户仅需扫码登录。
ThinkInAIXYZ/deepchat
Use the Feishu/Lark plugin MCP tools for Feishu documents, spreadsheets, knowledge content, and other matching workspace operations.
Sibyl-Research-Team/AutoResearch-SibylSystem
Sibyl 飞书同步 agent - 将研究数据同步到飞书云空间
aAAaqwq/AGI-Super-Team
飞书(Lark)全通道自动化。使用 lark-mcp 工具操作飞书多维表格(Bitable)、发送消息、管理文档、创建群组、自动化工作流等。当用户需要操作飞书平台、同步数据到飞书表格、发送飞书通知、管理飞书文档或自动化飞书业务流程时使用此技能。
LiangNiang/OpenMantis
企业微信 飞书 钉钉 淘宝 小红书 抖音电商 微信小程序 微信小店 拼多多 有赞 微信支付 支付宝 京东 SHEIN 得物 火山引擎 阿里云百炼 泛微 北森 API文档搜索。
aahl/skills
A skill to build and manage Home Assistant configurations. An agent skill from aahl/skills.
aahl/skills
Text-to-speech conversion using uvx edge-tts for generating audio from text.
aahl/skills
商品价格全网对比技能,获取商品在淘宝(Taobao)、天猫(TMall)、京东(JD.com)、拼多多(PinDuoDuo)、抖音(Douyin)、快手(KaiShou)的最优价格、优惠券,当用户想购物或者获取优惠信息时使用。Get the best price, coupons for goods on Chinese e-commerce platforms, compare…
aahl/skills
Skills for accessing and searching docs in DeepWiki/GitHub’s public code repositories can help users understand open-source project source codes, and users can also ask questions directly about the…
aahl/skills
Text-to-speech conversion using GLM-TTS service via the uvx zai-tts command for generating audio from text.
aahl/skills
The skill for control Home Assistant smart home devices and query states using MCP protocol.
Categories
Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc. MCP Lark is an agent skill from aahl/skills. Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.
MCP Lark fits situations like: tasks that involve Messaging and chat bots.
Run `npx skills add aahl/skills --skill mcp-lark -a claude-code`. Or copy the skill folder (skills/mcp-lark in aahl/skills) into .claude/skills/mcp-lark in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aahl/skills --skill mcp-lark -a codex`. Or copy the skill folder (skills/mcp-lark in aahl/skills) into .agents/skills/mcp-lark 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 aahl/skills --skill mcp-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/mcp-lark, .gemini/skills/mcp-lark, .github/skills/mcp-lark and .opencode/skills/mcp-lark in your project.
Going by SKILL.md and its folder, MCP Lark needs the command-line tools its instructions call (npx and jq). Our summary lists: Node.js.
SKILL.md names 2 domains. As links in the text: open.larksuite.com and open.feishu.cn. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
MCP Lark is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 387 tokens (SKILL.md is roughly 1.5k 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 6.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with MCP Lark: Feishu (codewhale-hq/Codewhale, 41k stars), Feishu Setup (AgentTeam-TaichuAI/ScienceClaw, 671 stars), Feishu Tools (ThinkInAIXYZ/deepchat, 6.4k stars) and Sibyl Lark Sync (Sibyl-Research-Team/AutoResearch-SibylSystem, 283 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aahl (a GitHub organization) maintains it in aahl/skills, which has 162 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 15, 2026.
Source: aahl/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.