lark-workflow-standup-report SKILL.md skillA
lark-workflow-standup-report 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-workflow-standup-report@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-workflow-standup-report/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed May 25, 2026
- Size
- 4,359 bytes
- Repository stars
- 12
- License
- none declared
日程待办摘要：编排 calendar +agenda 和 task +get-my-tasks，生成指定日期的日程与未完成任务摘要。适用于了解今天/明天/本周的安排。.
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
# 日程待办摘要工作流
**CRITICAL — 开始前 MUST 先用 Read 工具读取 [`../lark-shared/SKILL.md`](../lark-shared/SKILL.md)，其中包含认证、权限处理**
## 适用场景
- "今天有什么安排" / "今天的日程和待办"
- "明天有什么会" / "明日日程与未完成任务"
- "帮我看看今天要做什么" / "早报摘要"
- "开工摘要" / "standup report"
- "这周还有哪些安排"
## 前置条件
仅支持 **user 身份**。执行前确保已授权：
```bash
lark-cli auth login --domain calendar,task
```
## 工作流
```
{date} ─┬─► calendar +agenda [--start/--end] ──► 日程列表（会议/事件）
└─► task +get-my-tasks [--due-end] ──► 未完成待办列表
│
▼
AI 汇总（时间转换 + 冲突检测 + 排序）──► 摘要
```
### Step 1: 获取日程
```bash
# 今天（默认，无需额外参数）
lark-cli calendar +agenda
# 指定日期范围（必须使用 ISO 8601 格式，不支持 "tomorrow" 等自然语言）
lark-cli calendar +agenda --start "2026-03-26T00:00:00+08:00" --end "2026-03-26T23:59:59+08:00"
```
> **注意**：`--start` / `--end` 仅支持 ISO 8601 格式（如 `2026-01-01` 或 `2026-01-01T15:04:05+08:00`）和 Unix timestamp，**不支持** `"tomorrow"`、`"next monday"` 等自然语言。需要 AI 根据当前日期自行计算目标日期。
输出包含：event\_id、summary、start\_time（含 timestamp + timezone）、end\_time、free\_busy\_status、self\_rsvp\_status。
### Step 2: 获取未完成待办
```bash
# 默认：返回分配给当前用户的未完成任务（最多 20 条）
lark-cli task +get-my-tasks
# 只看指定日期前到期的（推荐用于摘要场景，减少数据量）
…Read the whole file at its exact version.
How to install
mdr add kendrick-stein/mcislab_deepread/lark-workflow-standup-report@sha256:42ce3008a6d8f520The 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_je74xvnkjppru4ln)
2 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 (4359 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_je74xvnkjppru4ln GET https://markdownregistry.com/api/v1/resolve?ref=kendrick-stein/mcislab_deepread/lark-workflow-standup-report GET https://markdownregistry.com/api/v1/blob/42ce3008a6d8f520be83fe25ecde0d1457e658e67cac96f1d1f37179a57b2fa6
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.
More from kendrick-stein/mcislab_deepread
Every file in kendrick-stein/mcislab_deepread