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.
npx skills add seaworld008/Commonly-used-high-value-skills --skill lark-meetinggit clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-skillsWrote 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/seaworld008/commonly-used-high-value-skills/lark-meeting)<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/lark-meeting"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/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.
<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/lark-meeting"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/lark-meeting.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 | $0.00030 | $0.03288 |
| Opus 5.5 | $0.00012 | $0.01315 |
| Sonnet 5.5 | $0.00006 | $0.00658 |
| Haiku 4.5 | $0.00003 | $0.00329 |
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 yesterday.
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
86% identical to lark-meeting — 16 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 — 161 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:
- 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。
- 没有来源身份,用户明确指定身份:使用用户指定的
--as。 - 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>。
What ships with it
31 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.
- LICENSE.upstream.txt 1.1 KB
- references/lark-minutes-apply-permission.md 4.5 KB
- references/lark-minutes-detail.md 2.6 KB
- references/lark-minutes-download.md 5.8 KB
- references/lark-minutes-search.md 9.9 KB
- references/lark-minutes-speaker-replace.md 4.6 KB
- references/lark-minutes-summary.md 4.3 KB
- references/lark-minutes-todo.md 8.0 KB
- references/lark-minutes-update.md 980 B
- references/lark-minutes-upload.md 2.8 KB
- references/lark-note-detail.md 739 B
- references/lark-note-transcript.md 1.0 KB
- references/lark-vc-agent-meeting-end.md 959 B
- references/lark-vc-agent-meeting-invite.md 2.2 KB
- references/lark-vc-agent-meeting-join.md 6.2 KB
- references/lark-vc-agent-meeting-leave.md 3.3 KB
- references/lark-vc-detail.md 1.1 KB
- references/lark-vc-meeting-countdown.md 3.7 KB
- references/lark-vc-meeting-events.md 26 KB
- references/lark-vc-meeting-list-active.md 4.0 KB
- references/lark-vc-meeting-message-send.md 6.1 KB
- references/lark-vc-meeting-screenshot.md 1.7 KB
- references/lark-vc-recording.md 4.0 KB
- references/lark-vc-search.md 7.5 KB
- references/vc-domain-boundaries.md 13 KB
- scenes/create-and-edit-minutes.md 11 KB
- scenes/live-meeting-attend.md 8.5 KB
- scenes/live-meeting-interact.md 6.5 KB
- scenes/query-meeting-and-artifacts.md 6.9 KB
- scenes/query-minutes-and-artifacts.md 4.1 KB
- scenes/query-note-and-artifacts.md 6.6 KB
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.
- yesterday Changed fd8e410bd201
- 24d ago Changed 27fd6e72a1ca
- 29d ago Changed 479b1eb30344
- 1mo ago Changed 36c0f6861104
- 1mo ago First seen · 161 lines · 30 tokens per session scan A 680ce1f4ac48
lark-meeting is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (73 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 3,288 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to lark-meeting, differing in 16 lines, and is treated as a copy.
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