lark-minutes

lark-minutes is a skill for Claude Code, Codex from davidtoby/agent-skills. It costs 133 tokens per session (3,911 once invoked), scanned A, original, MIT.

A tool for finding and working with Feishu meeting recordings and their transcripts or AI-generated notes. Feishu is a workplace collaboration platform, and a meeting transcript is a written record of what people said.

In plain words
What is it for?
Use it to search meetings, inspect details, download or upload recordings, edit titles, replace speakers or words, and manage summaries and action items.
Why use it?
It brings meeting audio, summaries, action items and searchable text into follow-up work.

Skill for Claude CodeCodex

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

Good fit Use it to search meetings, inspect details, download or upload recordings, edit titles, replace speakers or words, and manage summaries and action items.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/davidtoby/agent-skills/lark-minutes
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 davidtoby/agent-skills --skill lark-minutes
Clone the repo
git clone --depth 1 https://github.com/davidtoby/agent-skills

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-minutes

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/davidtoby/agent-skills/lark-minutes"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/lark-minutes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,911 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 $0.00133 $0.03911
Opus 5 $0.00067 $0.01956
Sonnet 5 $0.00027 $0.00782
Haiku 4.5 $0.00013 $0.00391

Measured 9d ago against content hash 00d8955b0e53, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

lark-minutes 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-minutes/SKILL.md · 208 lines

How it starts

The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.

minutes (v1)

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

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

身份

所有 minutes 命令默认使用 --as user

Shortcuts

Shortcut 说明
+search 按关键词、所有者、参与者、时间范围搜索妙记
+detail 查询妙记详情(标题和关联的纪要note_id),按需获取 AI 产物(总结、待办、章节、逐字稿、关键词)
+download 下载妙记音视频媒体文件
+upload 上传 file_token 生成妙记
+update 更新妙记标题
+apply-permission 申请妙记查看或编辑权限
+speaker-replace 替换妙记逐字稿中的说话人(须先 lark-cli api GET .../speakerlistspeaker_id
+word-replace 批量替换逐字稿关键词(详见 lark-cli minutes +word-replace --help
+summary 替换妙记 AI 总结全文
+todo 新建/更新/删除妙记 AI 待办(单条或 --todos 批量;不是 lark-task)
  • 使用任何 Shortcut 前,必须先读其对应 reference 文档。

意图路由

用户意图 命令
我的妙记 / 搜索妙记 / 某段时间的妙记 +search
妙记基础信息:标题 / 时长 / 封面 / 链接 minutes get
下载妙记音视频文件、获取媒体下载链接 +download(仅媒体;要妙记内容用 +detail
妙记总结 / 章节 / 待办 / 关键词 / 逐字稿 +detail --minute-tokens <token> + 显式产物 flag
基于妙记提炼/总结/分析/回顾会议 +detail --minute-tokens <token> --transcript,再独立分析(禁止照搬 AI 总结
拿这条妙记关联的纪要文档(note_doc_token / verbatim_doc_token / shared_doc_tokens +detail 取顶层 note_idnote +detail --note-id
把本地音视频转纪要 / 逐字稿 / 文字稿 drive +uploadfile_token+upload 生成 minute_url+detail 拿产物
在妙记里增加 / 更改 / 删除 AI 待办 +todo禁止走 lark-task
替换妙记的AI 总结 +summary
重命名妙记/改妙记标题 +update
申请妙记权限(查看/编辑) +apply-permission --perm view|edit
替换说话人/把 A 的发言改成 B/重新归属发言人/把外部(非飞书)说话人改成飞书用户" lark-cli api GET .../transcript/speakerlistspeaker_id,再 minutes +speaker-replace--from-speaker-id 只传 id,不传展示名
批量替换逐字稿关键词 +word-replace
用户同时提到"会议/开会"和"妙记" lark-vc+search+recording)获取 minute_token,再本 skill

Read the full file on GitHub · 208 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 · 208 lines · 133 tokens per session scan A 00d8955b0e53

Subscribe to this mod's changes

lark-minutes is a skill published in the GitHub repository davidtoby/agent-skills (10 stars, last pushed 1mo ago), licensed MIT. It adds 133 tokens to every session and 3,911 once invoked, about $0.0007 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.

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