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lark-meeting

lark-meeting is a skill for Claude Code, Codex from sutchan/Agent-Skills-Hub. It costs 118 tokens per session (3,229 once invoked), scanned A, a copy of lark-meeting, MIT.

A tool for finding and working with online meeting records and related documents in Lark, a workplace collaboration platform. It handles summaries, transcripts, recordings, searchable meeting notes, and live meeting interaction.

In plain words
What is it for?
Use it to find meetings, read AI summaries and transcripts, manage recordings, search or transfer meeting notes, and ask questions during meetings.
Why use it?
It keeps meeting information and its written records available for searching, reading, downloading, and follow-up work.

Skill for Claude CodeCodex

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

not rated 2repo changed 2d ago A scan 118 tokens copy · 97% MIT

Good fit Use it to find meetings, read AI summaries and transcripts, manage recordings, search or transfer meeting notes, and ask questions during meetings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sutchan/agent-skills-hub/lark-meeting
View source ↗ sutchan/Agent-Skills-Hub skills.ewuse.com
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add sutchan/Agent-Skills-Hub --skill lark-meeting
Clone the repo
git clone --depth 1 https://github.com/sutchan/Agent-Skills-Hub

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-meeting

README.md
[![agentmods](https://agentmods.dev/badge/skills/sutchan/agent-skills-hub/lark-meeting/github.svg)](https://agentmods.dev/skills/sutchan/agent-skills-hub/lark-meeting)
Your own site
<a href="https://agentmods.dev/skills/sutchan/agent-skills-hub/lark-meeting"><img src="https://agentmods.dev/badge/skills/sutchan/agent-skills-hub/lark-meeting/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-meeting

Your own site · 80×15
<a href="https://agentmods.dev/skills/sutchan/agent-skills-hub/lark-meeting"><img src="https://agentmods.dev/badge/skills/sutchan/agent-skills-hub/lark-meeting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,229 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 97% copy Near-identical to another mod 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 $0.00118 $0.03229
Opus 5 $0.00059 $0.01614
Sonnet 5 $0.00024 $0.00646
Haiku 4.5 $0.00012 $0.00323

Measured 2d ago against content hash 663b44f1cc62, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

lark-meeting 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 2d 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

This is a copy

97% identical to lark-meeting — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/lark-meeting/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

lark-meeting

飞书视频会议业务的统一入口，支持查询会议记录、实时会议互动、管理妙记、阅读智能纪要等操作。本技能负责领域关系、任务路由和跨命令编排。

无需预读 lark-shared 或预跑 auth status --verify，仅遇到未认证、token / 身份或 scope 错误时读取该 Skill，修复后重试。认证、身份或 scope 管理请求则直接使用该 Skill。

身份初始化与延续

把 source_identity 作为跨命令工作流的状态：

  1. 上下文已有来源身份：严格沿用。用户要求切换时先说明身份连续性和权限影响，不静默切换。
  2. 没有来源身份，用户明确指定身份：使用用户指定的 --as。
  3. 没有来源身份且用户未指定：操作语义明确要求应用机器人时使用 --as bot，否则显式使用 --as user。

确定 source_identity 后，再检查目标命令是否支持该身份：

  • 支持：显式传入并继续执行。
  • 不支持：说明限制并停止；不要为了让命令成功而替换身份。
  • 只有用户明确同意切换身份后，才以新身份重新开始一条工作流。

领域模型与概念

[会议来源]

Calendar 日程 (event_id) ──预约或关联──┐
即时会议（无 event_id）────────────────┴──► 会议 (meeting_id)

Calendar 日程 ──meeting_note────────────► Doc（用户纪要，独立于 AI 智能纪要）

[会议产物]

会议 (meeting_id)
├── AI 总结 ──► Note 智能纪要 (note_id)
│               ├── 智能纪要文档 ───────────► Doc (note_doc_token)
│               ├── 逐字稿
│               │   ├── normal  ──────────► Doc (verbatim_doc_token)
│               │   └── unified ──────────► note +transcript（非独立 Doc）
│               └── 共享文档 ──────────────► Doc (shared_doc_tokens)
│
└── 录制 ──► Minutes 妙记 (minute_token)
                 ├── AI 产物：Summary / Todo / Chapter / Keyword
                 ├── Transcript（文字记录，别名：「转写」「逐字稿」「文字记录」）
                 └── 原始音视频

本地音视频 ─────────────────────────────► Minutes 妙记 (minute_token)
对象 主标识 概念与关系
Calendar 日程 event_id 日历上的日程，包含时间、参与人、会议室和 RSVP，可预约或关联 VC 会议；不是完整的会议记录。日程上的 meeting_note 是用户手工绑定的 Doc，与 AI 智能纪要无关。
Meeting 会议 meeting_id 实际发生的视频会议，可以来自 Calendar，也可以是没有日程的即时会议。会议主题、时间、参会人快照和会中事件属于会议数据；Note 与 Minutes 是它可能关联的会后产物。
Note 智能纪要 note_id 开启 AI 总结后形成的逻辑产物集合。note_display_type 决定获取逐字稿中文字记录的不同方式。
Minutes 妙记 minute_token 由会议录制或本地音视频上传生成，包含总结、待办、章节、关键词、文字记录(别名：「转写」「逐字稿」「文字记录」)和原始音视频；可以关联 VC 会议，也可以独立存在。
Doc 文档 Doc token 内容载体，不是会议标识。note_doc_token、shared_doc_tokens 和部分 verbatim_doc_token 指向 Doc；Doc token 不能当作 note_id 或 meeting_id。

核心标识

  • meeting_id：会议 ID。长数字字符串，不是 9 位会议号。
  • meeting_no：会议号。9 位纯数字；CLI 参数名为 --meeting-number。
  • minute_token：妙记 Token。小写字母数字串，通常取自妙记 URL /minutes/<minute_token>。

Read the full file on GitHub · 151 lines

Files

What ships with it

29 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago Changed · -1 lines · +71 tokens per session 663b44f1cc62
  2. 8d ago First seen · 152 lines · 47 tokens per session scan A f916748fb0c2

Subscribe to this mod's changes

lark-meeting is a skill published in the GitHub repository sutchan/Agent-Skills-Hub (2 stars, last pushed yesterday), licensed MIT. It adds 118 tokens to every session and 3,229 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to lark-meeting, differing in 0 lines, and is treated as a copy.

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