MCP Lark
aahl/skills
Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.
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。
$ npx skills add AgentTeam-TaichuAI/ScienceClaw --skill feishu-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw feishu-setup --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/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ScienceClaw/backend/builtin_skills/feishu-setup .claude/skills/feishu-setup && 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-setup" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_skills/feishu-setup into .claude/skills/feishu-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-setup", 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/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_skills/feishu-setupType 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 AgentTeam-TaichuAI/ScienceClaw --skill feishu-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw feishu-setup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ScienceClaw/backend/builtin_skills/feishu-setup .agents/skills/feishu-setup && 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-setup" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_skills/feishu-setup into .agents/skills/feishu-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-setup", 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 AgentTeam-TaichuAI/ScienceClaw --skill feishu-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw feishu-setup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ScienceClaw/backend/builtin_skills/feishu-setup .cursor/skills/feishu-setup && 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-setup" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_skills/feishu-setup into .cursor/skills/feishu-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-setup", 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/AgentTeam-TaichuAI/ScienceClaw.git --path ScienceClaw/backend/builtin_skills/feishu-setup--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 AgentTeam-TaichuAI/ScienceClaw --skill feishu-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw feishu-setup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ScienceClaw/backend/builtin_skills/feishu-setup .gemini/skills/feishu-setup && 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-setup" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_skills/feishu-setup into .gemini/skills/feishu-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-setup", 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 AgentTeam-TaichuAI/ScienceClaw feishu-setupInstalls 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 AgentTeam-TaichuAI/ScienceClaw --skill feishu-setup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/ScienceClaw/backend/builtin_skills/feishu-setup .github/skills/feishu-setup && 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-setup" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_skills/feishu-setup into .github/skills/feishu-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-setup", 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 AgentTeam-TaichuAI/ScienceClaw --skill feishu-setup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AgentTeam-TaichuAI/ScienceClaw feishu-setup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgentTeam-TaichuAI/ScienceClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ScienceClaw/backend/builtin_skills/feishu-setup .opencode/skills/feishu-setup && 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-setup" agent skill from https://github.com/AgentTeam-TaichuAI/ScienceClaw/tree/master/ScienceClaw/backend/builtin_skills/feishu-setup into .opencode/skills/feishu-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "feishu-setup", 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-setup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。
Feishu Setup is an agent skill from 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。
Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/feishu_auto_setup.py` and `scripts/feishu_full_setup.py`).
It sits in Productivity & Automation, covering Messaging and chat bots. It works with Feishu (Lark) and Model Context Protocol. The repository describes itself as: ScienceClaw is a personal research assistant built with LangChain DeepAgents and AIO Sandbox infrastructure, adopting a completely new architecture beyond OpenClaw. It offers…
Read from SKILL.md and the folder at commit 3817e56. 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.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
LARK_APP_SECRETFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Feishu Setup loads about 425 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 123 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 found no risky patterns in SKILL.md.
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); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 123 words (~425 tokens).
“Automate the creation and configuration of a Feishu (Lark) bot application on the Feishu Open Platform. The user only needs to scan a QR code to log in; all other steps are handled automatically by the one-shot script feishu_full_setup.py running…”
SKILL.md and 2 other files (scripts) in ScienceClaw/backend/builtin_skills/feishu-setup of AgentTeam-TaichuAI/ScienceClaw.
Open the folder on GitHubat commit 3817e56
Feishu Setup 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 Setup this skillAgentTeam-TaichuAI/ScienceClaw | 671 | — | ~425 | Automated safety check: Pass | None | |
| MCP Larkaahl/skills | 162 | 1 repos | ~387 | Automated safety check: Notes | MIT | |
| Feishu ToolsThinkInAIXYZ/deepchat | 6.4k | — | ~652 | Automated safety check: Pass | Apache-2.0 | |
| Feishucodewhale-hq/Codewhale | 41k | — | ~413 | Automated safety check: Pass | MIT | |
| 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 |
aahl/skills
Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.
ThinkInAIXYZ/deepchat
Use the Feishu/Lark plugin MCP tools for Feishu documents, spreadsheets, knowledge content, and other matching workspace operations.
codewhale-hq/Codewhale
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
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。
skuramatata/my-pi-agent
A skill your agent uses when my-pi-agent tests, typecheck, lint, Pi CLI startup, OpenCode/MCP, Feishu channel, prompt rendering, memory/state, web-console/desktop build, or UI behavior fails…
AgentTeam-TaichuAI/ScienceClaw
Read and search GitHub repository documentation via gitmcp.io MCP service.
AgentTeam-TaichuAI/ScienceClaw
Create new skills, modify and improve existing skills, and measure skill performance.
AgentTeam-TaichuAI/ScienceClaw
Use this skill any time a .pptx file is involved — as input, output, or both.
AgentTeam-TaichuAI/ScienceClaw
多源深度调研与专业报告生成。适用场景广泛——只要用户的问题涉及需要深度分析的专业话题,就应使用此技能。包括但不限于:(1) 用户明确要求调研/research/综述/报告/发现;(2) 用户提出一个技术或科学话题,话题复杂度需要多源深度分析;(3) 用户要求对比多种技术方案的优劣;(4) 涉及生物医药、蛋白质、基因、药物靶点等需要专业数据库支撑的问题。核心能力:根据问题性质自动组合 arXiv…
AgentTeam-TaichuAI/ScienceClaw
Create new tools or upgrade existing tools for the agent. An agent skill from AgentTeam-TaichuAI/ScienceClaw.
AgentTeam-TaichuAI/ScienceClaw
Access 1000+ scientific tools through ToolUniverse for drug discovery, protein analysis, genomics, literature search, clinical data, ADMET prediction, molecular docking, and more.
Works with
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。. Feishu Setup is an agent skill from AgentTeam-TaichuAI/ScienceClaw.
Feishu Setup fits situations like: tasks that involve Messaging and chat bots.
Run `npx skills add AgentTeam-TaichuAI/ScienceClaw --skill feishu-setup -a claude-code`. Or copy the skill folder (ScienceClaw/backend/builtin_skills/feishu-setup in AgentTeam-TaichuAI/ScienceClaw) into .claude/skills/feishu-setup in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AgentTeam-TaichuAI/ScienceClaw --skill feishu-setup -a codex`. Or copy the skill folder (ScienceClaw/backend/builtin_skills/feishu-setup in AgentTeam-TaichuAI/ScienceClaw) into .agents/skills/feishu-setup 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 AgentTeam-TaichuAI/ScienceClaw --skill feishu-setup -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-setup, .gemini/skills/feishu-setup, .github/skills/feishu-setup and .opencode/skills/feishu-setup in your project.
Going by SKILL.md and its folder, Feishu Setup needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named LARK_APP_SECRET. Our summary lists: Python 3; A credential in LARK_APP_SECRET.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. 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.
No licence was found for Feishu Setup or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 425 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Feishu Setup: MCP Lark (aahl/skills, 162 stars), Feishu Tools (ThinkInAIXYZ/deepchat, 6.4k stars), Feishu (codewhale-hq/Codewhale, 41k 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.
AgentTeam-TaichuAI (a GitHub user) maintains it in AgentTeam-TaichuAI/ScienceClaw, which has 671 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on May 9, 2026.
Source: AgentTeam-TaichuAI/ScienceClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.