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lark-meeting

lark-meeting is a skill for Claude Code, Codex from aws-samples/sample-lark-mcp-on-agentcore. It costs 135 tokens per session (3,521 once invoked), scanned A, original, MIT-0.

Video-meeting management for Feishu (Lark), a workplace collaboration platform. It works with meeting records, notes, transcripts, live meeting information, and meeting chat.

In plain words
What is it for?
Finding or downloading meeting transcripts and summaries, searching or editing meeting notes, checking live speech and chat, answering questions about an ongoing meeting, and sending messages during a meeting.
Why use it?
It makes meeting information searchable and usable without manually reviewing recordings or notes.

Skill for Claude CodeCodex ✓ vendor

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

not rated 11repo changed 1mo ago A scan 135 tokens MIT-0

Good fit Finding or downloading meeting transcripts and summaries, searching or editing meeting notes, checking live speech and chat, answering questions about an ongoing meeting, and sending messages during a meeting.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aws-samples/sample-lark-mcp-on-agentcore/lark-meeting
View source ↗ aws-samples/sample-lark-mcp-on-agentcore
About the project

aws-samples/sample-lark-mcp-on-agentcore is a hosted remote MCP service that lets AI agents use Feishu/Lark through lark-cli's tools and multi-step workflow skills. Teams can deploy one centrally managed service while individual members authorize their own Feishu identities, with the service running on AWS Bedrock AgentCore. The catalogue add-ons help agents perform Lark operations through this service.

aws-samples/sample-lark-mcp-on-agentcore · 11 stars · on GitHub

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 aws-samples/sample-lark-mcp-on-agentcore --skill lark-meeting
Clone the repo
git clone --depth 1 https://github.com/aws-samples/sample-lark-mcp-on-agentcore

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/aws-samples/sample-lark-mcp-on-agentcore/lark-meeting/github.svg)](https://agentmods.dev/skills/aws-samples/sample-lark-mcp-on-agentcore/lark-meeting)
Your own site
<a href="https://agentmods.dev/skills/aws-samples/sample-lark-mcp-on-agentcore/lark-meeting"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-lark-mcp-on-agentcore/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/aws-samples/sample-lark-mcp-on-agentcore/lark-meeting"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-lark-mcp-on-agentcore/lark-meeting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 135 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,521 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 unknown 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 $0.00135 $0.03521
Opus 5.5 $0.00054 $0.01408
Sonnet 5.5 $0.00027 $0.00704
Haiku 4.5 $0.00014 $0.00352

Measured 1mo ago against content hash 1832ce2bc106, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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.

docker/skills/lark-meeting/SKILL.md · 138 lines

The source is not reproduced here

Licensed MIT-0

The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 1mo ago Changed 1832ce2bc106
  2. 2mo ago Changed · +4 lines d41d5e031e97
  3. 2mo ago First seen · 134 lines · 135 tokens per session scan A 4ad180e34400

Subscribe to this mod's changes

lark-meeting is a skill published in the GitHub repository aws-samples/sample-lark-mcp-on-agentcore (11 stars, last pushed 7d ago), licensed MIT-0. It adds 135 tokens to every session and 3,521 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-30.

Productivity
Related

lark-meeting compared with skills from other repositories

lark-meeting next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
lark-meetingaws-samples/sample-lark-mcp-on-agentcoreSkill117d agoMIT-0A135Claude Code, Codex
orbit-notionnexu-io/open-designSkill106kyesterdayApache-2.0A117Claude Code, Codex
agentmailpaperclipai/paperclipSkill111kyesterdayMITA30Claude Code, Codex
Cortexdanielmiessler/LifeOSSkill20kyesterdayMITA184Claude Code
rowboat-spacesrowboatlabs/rowboatSkill18kyesterdayApache-2.0A60Claude Code, Codex
feishuHmbown/CodeWhaleSkill41k5d agoMITA33Claude Code, Codex
pinchtab-mcppinchtab/pinchtabSkill11k10d agoMITA52Claude Code, Codex