Home / dropfan / claude-code-plugins · plugins/lark/skills/lark-calendar/SKILL.md · GitHub

lark-calendar skillA

lark-calendar is agent-read markdown (skill) from dropfan/claude-code-plugins: 飞书日历:管理日历日程和会议室。查看/搜索日程、创建/更新日程、管理参会人、查询忙闲和推荐时段、预定会议室。当用户需要查看日程安排、创建/修改会议、查询/预定会议室时使用。不负责:查询过去的视频会议记录(走 lark-meeting)、待办任务(走 lark-task)。.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

<!-- cowork-exec-note -->
> **⚙️ Cowork / Claude Desktop 执行环境说明(自动注入)**
>
> 本技能依赖本地 `lark-cli`(`@larksuite/cli`,可用 `command -v lark-cli` 定位)及其 `~/.lark-cli` 登录态(应用密钥存于 macOS keychain)。
>
> 在 Cowork 中运行任何 `lark-cli` 命令时,**必须在本地 macOS 上执行**(使用 Desktop Commander 的 `start_process` / `interact_with_process`,或其它本地 shell 工具),**不要用隔离的 Linux 沙箱** `mcp__workspace__bash`——沙箱里没有 lark-cli、也读不到 keychain。
> 执行前确保 npm 全局 bin 目录(`npm prefix -g` 输出目录下的 `bin`)在 PATH 中。
>
> (在 Claude Code 中可忽略本说明,lark-cli 在本机 shell 直接可用。)

# calendar (v4)

开始前先读 [`../lark-shared/SKILL.md`](../lark-shared/SKILL.md)(认证、权限处理)。

**CRITICAL — 凡涉及预约日程/会议室、调整时间或查询/搜索会议室,第一步 MUST 读 [`references/lark-calendar-schedule-meeting.md`](references/lark-calendar-schedule-meeting.md)。仅编辑字段(改标题/描述)或增删参会人(不涉及时间和会议室)时可跳过,直接读 [`references/lark-calendar-update.md`](references/lark-calendar-update.md)。**

## 身份

按**日程归属**选身份:

- 查看/管理登录用户本人的日程 → `--as user`(默认,绝大多数场景)。
- 查看/管理 bot 自己创建/拥有的日程 → `--as bot`

**对话人称映射**:「我」= 登录用户,「你」= 应用(bot);作为字段取值的人称(参会人、会议 owner 等)不参与身份判定,如「你创建日程,邀请我、会议 owner 为我」→ `--as bot` 创建,登录用户仅作参会人与会议 owner。

```bash
# 用户本人日程 → user
lark-cli calendar +agenda --as user
# bot 自建或参与的日程 → bot
…

Read the whole file at its exact version.

How to install

Latest version
mdr add dropfan/claude-code-plugins/lark-calendar@v1.0.0
Exact content
mdr add dropfan/claude-code-plugins/lark-calendar@sha256:0bb653b8d2d70645

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_nmigdok3c245dszi.svg)](https://markdownregistry.com/a/art_nmigdok3c245dszi)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
v1.0.0 latest2026-09-21 b87b343 18,643 BA view · diff
v1.0.02026-08-06 a15ad84 13,311 BA view · diff
v1.0.02026-07-21 541a021 12,832 BA view · diff
v1.0.02026-07-05 b88ef94 8,798 BA view · diff
v1.0.02026-06-29 1a6aead 8,778 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (18643 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

GitHub

dropfan/claude-code-plugins · 8 stars · license MIT · pushed 2026-09-21 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_nmigdok3c245dszi
GET https://markdownregistry.com/api/v1/resolve?ref=dropfan/claude-code-plugins/lark-calendar
GET https://markdownregistry.com/api/v1/blob/0bb653b8d2d706453461c06fa8dcf03774536c8ba31c9fd405c34288eb03711e

Your agent 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.

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