lark-workflow-meeting-summary 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-workflow-meeting-summary 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-meeting-summary@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-meeting-summary/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed May 25, 2026
- Size
- 4,188 bytes
- Repository stars
- 12
- License
- none declared
会议纪要整理工作流：汇总指定时间范围内的会议纪要并生成结构化报告。当用户需要整理会议纪要、生成会议周报、回顾一段时间内的会议内容时使用。.
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
# 会议纪要汇总工作流
**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**。然后阅读 [`../lark-vc/SKILL.md`](../lark-vc/SKILL.md)，了解会议纪要相关操作。
## 适用场景
- "帮我整理这周的会议纪要" / "总结最近的会议" / "生成会议周报"
- "看看今天开了哪些会" / "回顾过去一周开了哪些会"
## 前置条件
仅支持 **user 身份**。执行前确保已授权：
```bash
lark-cli auth login --domain vc # 基础（查询+纪要）
lark-cli auth login --domain vc,drive # 含读取纪要文档正文、生成文档
```
## 工作流
```
{时间范围} ─► vc +search ──► 会议列表 (meeting_ids)
│
▼
vc +notes ──► 纪要文档 tokens
│
▼
drive metas batch_query 纪要元数据
│
▼
结构化报告
```
### Step 1: 确定时间范围
默认**过去 7 天**。推断规则："今天"→当天，"这周"→本周一~now，"上周"→上周一~上周日，"这个月"→1日~now。
> **注意**：日期转换必须调用系统命令（如 `date`），不要心算。时间范围参数需根据 CLI 实际要求格式化（通常为 `YYYY-MM-DD` 或 ISO 8601）。
### Step 2: 查询会议记录
```bash
# page-size 最大为 30
lark-cli vc +search --start "<YYYY-MM-DD>" --end "<YYYY-MM-DD>" --format json --page-size 30
```
- 时间范围拆分：搜索的时间范围最大为 1 个月。搜索更长时间范围的会议，需要拆分为多次时间范围为一个月查询。
- `--end` 为**包含当天**的日期（即查"今天"时 start 和 end 都填今天）
- `--format json` 输出 JSON 格式，你更佳擅长解析 JSON 数据。
…Read the whole file at its exact version.
How to install
mdr add kendrick-stein/mcislab_deepread/lark-workflow-meeting-summary@sha256:97b34c38853820f9The 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_7yltr6ixz5qjk2ri)
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 (4188 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_7yltr6ixz5qjk2ri GET https://markdownregistry.com/api/v1/resolve?ref=kendrick-stein/mcislab_deepread/lark-workflow-meeting-summary GET https://markdownregistry.com/api/v1/blob/97b34c38853820f9f3f7cdde42b3ae0e6f413ca0fcaab10d306e6bcbeac5168c
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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