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.
git clone --depth 1 https://github.com/fanfan-de/anyboxnpx agentmods add skills/fanfan-de/anybox/lark-minutesWrote 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.
[](https://agentmods.dev/skills/fanfan-de/anybox/lark-minutes)<a href="https://agentmods.dev/skills/fanfan-de/anybox/lark-minutes"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/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.
<a href="https://agentmods.dev/skills/fanfan-de/anybox/lark-minutes"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/lark-minutes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once 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 |
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.
This is a copy
100% identical to lark-minutes — 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.
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
- 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。 - 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。
- 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。
- 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。 - 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
- 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。 - 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。 - 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。 - 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
- 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。
minutes +download只负责音视频媒体文件。- 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。 - 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
- 当用户说"这个妙记的逐字稿""总结""待办""章节"时，不属于本 skill。
- 应使用 vc +notes --minute-tokens 获取对应的纪要产物。
- 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。 - 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。 - 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。
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.
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.
- 8d ago First seen · 140 lines · 168 tokens per session scan A 564f8fee4b8a
lark-minutes is a skill published in the GitHub repository fanfan-de/anybox (57 stars, last pushed 29d 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. It is 100% identical to lark-minutes, differing in 0 lines, and is treated as a copy.
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