lark-workflow-meeting-summary

lark-workflow-meeting-summary is a skill for Claude Code, Codex from davidtoby/agent-skills. It costs 55 tokens per session (1,721 once invoked), scanned A, original, MIT.

A workflow for collecting Feishu meeting notes from a chosen time range and turning them into a structured report. Feishu meeting notes are records created from workplace meetings.

In plain words
What is it for?
Reviewing meetings from a day, week, or month, creating meeting reports, and summarising notes and follow-up information.
Why use it?
It saves the manual work of finding meetings, opening their notes, and assembling a review or weekly summary.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **逐字稿路由按 `note_display_type` 决定**(详见 [vc-domain-boundaries.md](../lark-vc/references/vc-domain-boundaries.md) 的 Note 域):.

Good fit Reviewing meetings from a day, week, or month, creating meeting reports, and summarising notes and follow-up information.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/davidtoby/agent-skills
agentmods
npx agentmods add skills/davidtoby/agent-skills/lark-workflow-meeting-summary

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for lark-workflow-meeting-summary

README.md
[![agentmods](https://agentmods.dev/badge/skills/davidtoby/agent-skills/lark-workflow-meeting-summary/github.svg)](https://agentmods.dev/skills/davidtoby/agent-skills/lark-workflow-meeting-summary)
Your own site
<a href="https://agentmods.dev/skills/davidtoby/agent-skills/lark-workflow-meeting-summary"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/lark-workflow-meeting-summary/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for lark-workflow-meeting-summary

Your own site · 80×15
<a href="https://agentmods.dev/skills/davidtoby/agent-skills/lark-workflow-meeting-summary"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/lark-workflow-meeting-summary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,721 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.01721
Opus 5 $0.00028 $0.00860
Sonnet 5 $0.00011 $0.00344
Haiku 4.5 $0.00006 $0.00172

Measured 9d ago against content hash 81cb54fef0e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

lark-workflow-meeting-summary scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/lark-workflow-meeting-summary/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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,其中包含认证、权限处理。然后阅读 ../lark-vc/SKILL.md,了解会议纪要相关操作。

CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-vc/references/vc-domain-boundaries.md,不读将导致命令使用、会议产物决策、领域边界职责判断错误:

  1. 了解日历 & VC、会议产物 & 文档的关联关系和职责划分
  2. 了解会议产物(妙记和纪要)之间的关联关系,例如:妙记和纪要产生条件相互独立
  3. 了解不同会议产物的组成部分,以便根据需求决策使用哪种产物的数据
  4. 了解会议总结、分析和信息提取的标准流程

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:

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 +detail ──► 获取 note_id
                   │
                   ▼
               note +detail ──► 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

# 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。
  • --page-size 30 每页最多 30 条。
  • page_token 时必须继续翻页,收集所有 id 字段(meeting-id)

Step 3: 获取纪要元数据

  1. 查询会议关联的纪要信息
# 首先获取 note_id 和 minute_token
lark-cli vc +detail --meeting-ids "id1,id2,...,idN"

# 然后用 note_id 获取文档 tokens(如有多个需分别获取)
lark-cli note +detail --note-id "note_id"
  • 根据上一步搜集到的 meeting-id 查询。
  • 单次最多查询 50 个,超过 50 个需分批调用。
  • 部分会议没有 note_id 或报错 no notes available,在最终输出中标注"无纪要"。
  • 记录每个纪要的 note_id(纪要 ID)、note_display_type(展示类型:unknown / normal / unified)、note_doc_token(纪要文档 Token)和 verbatim_doc_token(逐字稿文档 Token)。

Read the full file on GitHub · 122 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 122 lines · 55 tokens per session scan A 81cb54fef0e8

Subscribe to this mod's changes

lark-workflow-meeting-summary is a skill published in the GitHub repository davidtoby/agent-skills (10 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 1,721 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

mcp-atlassian

Run the Model Context Protocol (MCP) Atlassian server in Docker, enabling integration with Jira, Confluence, and other Atlassian products. Use when you need to query Jira issues, search Confluence, or interact with Atlassian services programmatically. Requires Docker and valid Jira API credentials.

danstrem2/clawdbot-skill-master-pack · 68 tokens

templates

Project scaffolding templates for new applications. Use when creating new projects from scratch. Contains 12 templates for various tech stacks.

danstrem2/clawdbot-skill-master-pack · 27 tokens

better-notion

Full CRUD for Notion pages, databases, and blocks. Create, read, update, delete, search, and query.

danstrem2/clawdbot-skill-master-pack · 29 tokens

officecli-academic-paper

Use this skill to build academic-style .docx output: journal / conference / thesis chapters carrying formal citation style (APA, Chicago, IEEE, MLA), numbered equations, figure & table cross-references, footnotes/endnotes, bibliography, or multi-column journal layout. Trigger on: 'research paper', 'journal paper'…

iOfficeAI/OfficeCLI · 141 tokens

officecli

Create, analyze, proofread, and modify Office documents (.docx, .xlsx, .pptx) using the officecli CLI tool. Use when the user wants to create, inspect, check formatting, find issues, add charts, or modify Office documents.

iOfficeAI/OfficeCLI · 56 tokens

incident-commander

Coordinate active incidents through severity assessment, roles, mitigation, communications, recovery verification, and postmortem handoff.

seaworld008/Commonly-used-high-value-skills · 28 tokens