lark-minutes

lark-minutes is a skill for Claude Code, Codex from appleweiping/WEIPING_WIKI. It costs 168 tokens per session (2,828 once invoked), scanned A, original, MIT.

A Feishu meeting-notes tool for finding recordings, downloading audio or video, and obtaining summaries, action items, chapters, transcripts, or written notes. Feishu Minutes are recordings and related text from meetings or uploaded media.

In plain words
What is it for?
Searching meeting notes, checking recording details, downloading media, creating transcripts, and retrieving summaries or to-do items.
Why use it?
It removes the need to search through recordings or run separate local transcription tools to turn audio and video into usable notes.

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 **注意**:`+download` 只负责音视频媒体文件。如果用户需要的是逐字稿、总结、待办、章节等纪要内容,请使用 [vc +notes --minute-tokens](../lark-vc/references/lark-vc-notes.md)。.

Good fit Searching meeting notes, checking recording details, downloading media, creating transcripts, and retrieving summaries or to-do items.

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/appleweiping/WEIPING_WIKI
agentmods
npx agentmods add skills/appleweiping/weiping_wiki/lark-minutes

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/appleweiping/weiping_wiki/lark-minutes/github.svg)](https://agentmods.dev/skills/appleweiping/weiping_wiki/lark-minutes)
Your own site
<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/lark-minutes"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/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/appleweiping/weiping_wiki/lark-minutes"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/lark-minutes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 168 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,828 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 116
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 116
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
How audits are shown
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 $0.00168 $0.02828
Opus 5 $0.00084 $0.01414
Sonnet 5 $0.00034 $0.00566
Haiku 4.5 $0.00017 $0.00283

Measured 8d ago against content hash 564f8fee4b8a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 8d 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

2 near-identical copies found in the catalogue:

skill/lark-cli/skills/lark-minutes/SKILL.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 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

核心概念

  • 妙记(Minutes):来源于飞书视频会议的录制产物或用户上传的音视频文件,通过 minute_token 标识。
  • 妙记 Token(minute_token):妙记的唯一标识符,可从妙记 URL 末尾提取(例如 https://*.feishu.cn/minutes/obcnxxxxxxxxxxxxxxxxxxxx 中的 obcnxxxxxxxxxxxxxxxxxxxx)。如果 URL 中包含额外参数(如 ?xxx),应截取路径最后一段。

核心场景

1. 搜索妙记

  1. 当用户描述的是"我的妙记""包含某个关键词的妙记""某段时间内的妙记",优先使用 minutes +search
  2. 仅支持使用关键词、时间段、参与者、所有者等筛选条件搜索妙记记录,对于不支持的筛选条件,需要提示用户。
  3. 搜索结果存在多条数据时,务必注意分页数据获取,不要遗漏任何妙记记录。
  4. 如果是会议的妙记,应优先使用 vc +search 先定位会议,再按需通过 vc +recording 获取 minute_token
  5. 会议场景的妙记路由,以及"参与的妙记"如何解释,统一以 minutes +search 为准。

2. 查看妙记基础信息

  1. 当用户只需要确认某条妙记的标题、封面、时长、所有者、URL 等基础信息时,使用 minutes minutes get
  2. 如果用户给的是妙记 URL,应先从 URL 末尾提取 minute_token,再调用 minutes minutes get
  3. 如果是会议 / 日程上下文中的妙记基础信息,先通过 VC 链路拿到 minute_token,再调用 minutes minutes get
  4. 用户意图不明确时,默认先给基础元信息,帮助确认是否命中目标妙记。

使用 lark-cli schema minutes.minutes.get 可查看完整返回值结构。核心字段包含:title(标题)、cover(封面 URL)、duration(时长,毫秒)、owner_id(所有者 ID)、url(妙记链接)。

3. 下载妙记音视频文件

  1. 下载妙记音视频文件到本地,或获取有效期 1 天的下载链接。详见 minutes +download
  2. minutes +download 只负责音视频媒体文件。
  3. 用户只想拿可分享的下载地址时,使用 --url-only;用户要落地到本地文件时,直接下载。
  4. 未显式指定路径时,文件默认落到 ./minutes/{minute_token}/<server-filename>,与 vc +notes 的逐字稿共享同一目录便于聚合。

注意+download 只负责音视频媒体文件。如果用户需要的是逐字稿、总结、待办、章节等纪要内容,请使用 vc +notes --minute-tokens

4. 获取妙记的逐字稿、总结、待办、章节

  1. 当用户说"这个妙记的逐字稿""总结""待办""章节"时,不属于本 skill
  2. 应使用 vc +notes --minute-tokens 获取对应的纪要产物。
  3. 如果当前上下文中已有 minute_token,可直接传给 vc +notes;如果只有妙记 URL,先提取 minute_token
  4. 如果用户给的是本地音视频文件,但目标是"转成纪要""转成逐字稿""转成文字稿""转成撰写文字",也支持;此时应先按下文第 5 节上传文件生成妙记,再把返回的 minute_url 提取成 minute_token,继续调用 vc +notes --minute-tokens
  5. 用户如果直接给出本地文件名或路径,并要求"转逐字稿""转文字稿""整理成撰写文字",这也是本 skill 的明确触发信号。

Read the full file on GitHub · 140 lines

Files

What ships with it

3 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. 8d ago First seen · 140 lines · 168 tokens per session scan A 564f8fee4b8a

Subscribe to this mod's changes

lark-minutes is a skill published in the GitHub repository appleweiping/WEIPING_WIKI (122 stars, last pushed 16d ago), licensed MIT. It adds 168 tokens to every session and 2,828 once invoked, about $0.0008 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.