Feishu Openapi Skill
holon-run/uxc
Operate Feishu or Lark IM APIs through UXC with a curated OpenAPI schema, tenant-token bearer auth, and chat/message guardrails.
飞书/Lark 原生 OpenAPI 探索：从官方文档库中挖掘未经 CLI 封装的原生 OpenAPI 接口。当用户的需求无法被现有 lark- skill 或 lark-cli 已注册命令满足，需要查找并调用原生飞书 OpenAPI 时使用。
Install Lark Openapi Explorer
$ npx skills add appleweiping/WEIPING_WIKI --skill lark-openapi-explorer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-openapi-explorer --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/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill/lark-openapi-explorer .claude/skills/lark-openapi-explorer && 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 "lark-openapi-explorer" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-openapi-explorer into .claude/skills/lark-openapi-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-openapi-explorer", 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/appleweiping/WEIPING_WIKI/tree/main/skill/lark-openapi-explorerType 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 appleweiping/WEIPING_WIKI --skill lark-openapi-explorer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-openapi-explorer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skill/lark-openapi-explorer .agents/skills/lark-openapi-explorer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lark-openapi-explorer" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-openapi-explorer into .agents/skills/lark-openapi-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-openapi-explorer", 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 appleweiping/WEIPING_WIKI --skill lark-openapi-explorer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-openapi-explorer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skill/lark-openapi-explorer .cursor/skills/lark-openapi-explorer && 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 "lark-openapi-explorer" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-openapi-explorer into .cursor/skills/lark-openapi-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-openapi-explorer", 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/appleweiping/WEIPING_WIKI.git --path skill/lark-openapi-explorer--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 appleweiping/WEIPING_WIKI --skill lark-openapi-explorer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-openapi-explorer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skill/lark-openapi-explorer .gemini/skills/lark-openapi-explorer && 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 "lark-openapi-explorer" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-openapi-explorer into .gemini/skills/lark-openapi-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-openapi-explorer", 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 appleweiping/WEIPING_WIKI lark-openapi-explorerInstalls 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 appleweiping/WEIPING_WIKI --skill lark-openapi-explorer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .github/skills && cp -r skills-src/skill/lark-openapi-explorer .github/skills/lark-openapi-explorer && 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 "lark-openapi-explorer" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-openapi-explorer into .github/skills/lark-openapi-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-openapi-explorer", 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 appleweiping/WEIPING_WIKI --skill lark-openapi-explorer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-openapi-explorer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skill/lark-openapi-explorer .opencode/skills/lark-openapi-explorer && 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 "lark-openapi-explorer" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-openapi-explorer into .opencode/skills/lark-openapi-explorer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-openapi-explorer", 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
lark-openapi-explorer- GitHub stars
- 119
- Used in
- 4 other repos
- Token cost
- ~788 tokens
- SKILL.md length
- 127 words
- Files
- 1
- Skills in repo
- 51
- Repo updated
- First seen
- Licence
- MIT
At a glance
飞书/Lark 原生 OpenAPI 探索：从官方文档库中挖掘未经 CLI 封装的原生 OpenAPI 接口。当用户的需求无法被现有 lark- skill 或 lark-cli 已注册命令满足，需要查找并调用原生飞书 OpenAPI 时使用。
- Works in 5 steps: ：确认现有能力不足 → ：从顶层索引定位模块 → ：从模块文档定位具体 API → …
- Tasks that involve Messaging and chat bots
- SKILL.md covers 文档库结构, 挖掘流程, 输出规范 and 安全规则, plus 2 more sections
- Reaches open.feishu.cn and open.larksuite.com
What it does
Lark Openapi Explorer is an agent skill from appleweiping/WEIPING_WIKI. 飞书/Lark 原生 OpenAPI 探索：从官方文档库中挖掘未经 CLI 封装的原生 OpenAPI 接口。当用户的需求无法被现有 lark- skill 或 lark-cli 已注册命令满足，需要查找并调用原生飞书 OpenAPI 时使用。
Its SKILL.md is about 790 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 Backend & APIs, covering Messaging and chat bots and OpenAPI specifications. It works with OpenAPI and Feishu (Lark). The repository describes itself as: knowledge base managed with an LLM workflow. The licence is MIT.
When your agent uses it
- Tasks that involve Messaging and chat bots
- Tasks that involve OpenAPI specifications
Example prompts
- “/lark-openapi-explorer”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 76fdc42. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
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.cnopen.larksuite.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Lark Openapi Explorer loads about 788 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 127 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.
Safety
Auto-check passed
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from appleweiping/WEIPING_WIKI at commit 76fdc42, republished under its MIT licence (© appleweiping). 127 words, ~788 tokens.
Download SKILL.mdSave it as
.claude/skills/lark-openapi-explorer/SKILL.md (or your agent's skills folder).- name
- lark-openapi-explorer
- description
- 飞书/Lark 原生 OpenAPI 探索：从官方文档库中挖掘未经 CLI 封装的原生 OpenAPI 接口。当用户的需求无法被现有 lark-* skill 或 lark-cli 已注册命令满足，需要查找并调用原生飞书 OpenAPI 时使用。
OpenAPI Explorer
前置条件： 先阅读
../lark-shared/SKILL.md了解认证、身份切换和安全规则。
当用户的需求无法被现有 skill 或 CLI 已注册 API 覆盖时，使用本技能从飞书官方 markdown 文档库中逐层挖掘原生 OpenAPI 接口，然后通过 lark-cli api 裸调完成任务。
文档库结构
飞书 OpenAPI 文档以 markdown 层级组织：
llms.txt ← 顶层索引，列出所有模块文档链接
└─ llms-<module>.txt ← 模块文档，包含功能概述 + 底层 API 文档链接
└─ <api-doc>.md ← 单个 API 的完整说明（方法/路径/参数/响应/错误码）文档入口：
| 品牌 | 入口 URL |
|---|---|
| 飞书 (Feishu) | https://open.feishu.cn/llms.txt |
| Lark | https://open.larksuite.com/llms.txt |
所有文档以中文编写。如果用户使用英文交流，需将文档内容翻译为英文后输出。
挖掘流程
严格按以下步骤逐层检索，不要跳步或猜测 API：
Step 1：确认现有能力不足
# 先检查是否已有对应的 skill 或已注册 API
lark-cli <可能的service> --help如果已有对应命令或 shortcut，直接使用，不需要继续挖掘。
Step 2：从顶层索引定位模块
用 WebFetch 获取顶层索引，找到与需求相关的模块文档链接：
WebFetch https://open.feishu.cn/llms.txt
→ 提取问题："列出所有模块文档链接，找出与 <用户需求关键词> 相关的链接"- 飞书品牌使用
open.feishu.cn - Lark 品牌使用
open.larksuite.com - 如不确定用户品牌，默认使用飞书
Step 3：从模块文档定位具体 API
用 WebFetch 获取模块文档，找到具体 API 的文档链接：
WebFetch https://open.feishu.cn/llms-docs/zh-CN/llms-<module>.txt
→ 提取问题："找出与 <用户需求> 相关的 API 说明和文档链接"Step 4：获取 API 完整规范
用 WebFetch 获取具体 API 文档，提取完整的调用规范：
WebFetch https://open.feishu.cn/document/server-docs/.../<api>.md
→ 提取问题："返回完整 API 规范：HTTP 方法、URL 路径、路径参数、查询参数、请求体字段（名称/类型/必填/说明）、响应字段、所需权限、错误码"Step 5：通过 CLI 调用 API
使用 lark-cli api 裸调：
# GET 请求
lark-cli api GET /open-apis/<path> --params '{"key":"value"}'
# POST 请求
lark-cli api POST /open-apis/<path> --data '{"key":"value"}'
# PUT 请求
lark-cli api PUT /open-apis/<path> --data '{"key":"value"}'
# DELETE 请求
lark-cli api DELETE /open-apis/<path>输出规范
向用户呈现挖掘结果时，按以下格式组织：
- API 名称与功能：一句话描述
- HTTP 方法与路径：
METHOD /open-apis/... - 关键参数：列出必填和常用可选参数
- 所需权限：scope 列表
- 调用示例：给出
lark-cli api的完整命令 - 注意事项：频率限制、特殊约束等
如果用户使用英文交流，将以上所有内容翻译为英文。
安全规则
- 写入/删除类 API（POST/PUT/DELETE）调用前必须确认用户意图
- 建议先用
--dry-run预览请求（如支持） - 不要猜测 API 路径或参数——必须从文档中获取确认
- 涉及敏感操作（删除群、移除成员等）时，向用户说明影响范围
使用场景示例
场景 1：用户需要拉人进群（未被 CLI 封装）
# Step 1: 确认 CLI 没有封装
lark-cli im --help
# → 发现没有 chat_members 相关的 create 命令
# Step 2-4: 通过文档挖掘获得 API 规范
# → POST /open-apis/im/v1/chats/:chat_id/members
# Step 5: 调用
lark-cli api POST /open-apis/im/v1/chats/oc_xxx/members \
--data '{"id_list":["ou_xxx","ou_yyy"]}' \
--params '{"member_id_type":"open_id"}'场景 2：用户需要设置群公告
# Step 1: 确认 CLI 没有封装
lark-cli im --help
# → 没有 announcement 相关命令
# Step 2-4: 挖掘文档
# → PATCH /open-apis/im/v1/chats/:chat_id/announcement
# Step 5: 调用
lark-cli api PATCH /open-apis/im/v1/chats/oc_xxx/announcement \
--data '{"revision":"0","requests":["<html>公告内容</html>"]}'参考
- lark-shared — 认证和全局参数
- lark-skill-maker — 如需将挖掘到的 API 固化为新 Skill
© appleweiping, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skill/lark-openapi-explorer of appleweiping/WEIPING_WIKI.
Open the folder on GitHubat commit 76fdc42
Used in 4 other repositories
We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in appleweiping/WEIPING_WIKI, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Lark Openapi Explorer 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 |
|---|---|---|---|---|---|---|
| Lark Openapi Explorer this skillappleweiping/WEIPING_WIKI | 119 | 4 repos | ~788 | Automated safety check: Pass | MIT | |
| Feishu Openapi Skillholon-run/uxc | 116 | — | ~2.3k | Automated safety check: Pass | MIT | |
| SpecfusionLiangNiang/OpenMantis | 110 | — | ~2.1k | Automated safety check: Notes | Apache-2.0 | |
| Feishucodewhale-hq/Codewhale | 41k | — | ~413 | Automated safety check: Pass | MIT | |
| Lark Contactrongxinzy/RongxinAI | 154 | 2 repos | ~479 | Automated safety check: Pass | AGPL-3.0 | |
| Lark Contactmajiayu000/claude-skill-registry | 666 | 1 repos | ~762 | Automated safety check: Pass | MIT |
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Questions about Lark Openapi Explorer
What does Lark Openapi Explorer do?
飞书/Lark 原生 OpenAPI 探索：从官方文档库中挖掘未经 CLI 封装的原生 OpenAPI 接口。当用户的需求无法被现有 lark- skill 或 lark-cli 已注册命令满足，需要查找并调用原生飞书 OpenAPI 时使用。. Lark Openapi Explorer is an agent skill from appleweiping/WEIPING_WIKI.
When should I use Lark Openapi Explorer?
Lark Openapi Explorer fits situations like: tasks that involve Messaging and chat bots; tasks that involve OpenAPI specifications.
How do I install Lark Openapi Explorer in Claude Code?
Run `npx skills add appleweiping/WEIPING_WIKI --skill lark-openapi-explorer -a claude-code`. Or copy the skill folder (skill/lark-openapi-explorer in appleweiping/WEIPING_WIKI) into .claude/skills/lark-openapi-explorer in your project. Claude Code loads it when a task matches its description.
How do I install Lark Openapi Explorer in Codex?
Run `npx skills add appleweiping/WEIPING_WIKI --skill lark-openapi-explorer -a codex`. Or copy the skill folder (skill/lark-openapi-explorer in appleweiping/WEIPING_WIKI) into .agents/skills/lark-openapi-explorer in your project. Codex loads it when a task matches its description.
Can I use Lark Openapi Explorer 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 appleweiping/WEIPING_WIKI --skill lark-openapi-explorer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lark-openapi-explorer, .gemini/skills/lark-openapi-explorer, .github/skills/lark-openapi-explorer and .opencode/skills/lark-openapi-explorer in your project.
What does Lark Openapi Explorer need to run?
SKILL.md names no scripts, command-line tools or credentials: Lark Openapi Explorer is instructions for the agent only.
Does Lark Openapi Explorer access the network?
SKILL.md names 2 domains. In commands or code: open.feishu.cn and open.larksuite.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Is Lark Openapi Explorer safe to install?
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. Review the folder before installing.
What licence does Lark Openapi Explorer use?
Lark Openapi Explorer 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 Lark Openapi Explorer use?
About 788 tokens (SKILL.md is roughly 3.2k 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 Lark Openapi Explorer?
Skills that share tags, products or a category with Lark Openapi Explorer: Feishu Openapi Skill (holon-run/uxc, 116 stars), Specfusion (LiangNiang/OpenMantis, 110 stars), Feishu (codewhale-hq/Codewhale, 41k stars) and Lark Contact (rongxinzy/RongxinAI, 154 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Lark Openapi Explorer?
appleweiping (a GitHub user) maintains it in appleweiping/WEIPING_WIKI, which has 119 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on August 26, 2026.
Source: appleweiping/WEIPING_WIKI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.