lark-openapi-explorer SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
lark-openapi-explorer from kendrick-stein/mcislab_deepread is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add kendrick-stein/mcislab_deepread/lark-openapi-explorer@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- kendrick-stein/mcislab_deepread
- Path
.agents/skills/lark-openapi-explorer/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed May 25, 2026
- Size
- 4,927 bytes
- Repository stars
- 12
- License
- none declared
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。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# OpenAPI Explorer
> **前置条件：** 先阅读 [`../lark-shared/SKILL.md`](../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
```bash
# 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"
…Read the whole file at its exact version.
How to install
mdr add kendrick-stein/mcislab_deepread/lark-openapi-explorer@sha256:ae89debc3f807f99The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_vsx6v5ae3em5f6sm)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 25, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4927 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
kendrick-stein/mcislab_deepread · 12 stars · license none declared · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vsx6v5ae3em5f6sm GET https://markdownregistry.com/api/v1/resolve?ref=kendrick-stein/mcislab_deepread/lark-openapi-explorer GET https://markdownregistry.com/api/v1/blob/ae89debc3f807f9947831b4525e1c118bc14544877c14c14aaa47298b1e863b4
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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