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 agentmods add skills/yjwong/lark-cli/minutesnpx skills add yjwong/lark-cli --skill minutesgit clone --depth 1 https://github.com/yjwong/lark-cliWrote 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/yjwong/lark-cli/minutes)<a href="https://agentmods.dev/skills/yjwong/lark-cli/minutes"><img src="https://agentmods.dev/badge/skills/yjwong/lark-cli/minutes.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.01106 |
| Opus 5 | $0.00015 | $0.00553 |
| Sonnet 5 | $0.00006 | $0.00221 |
| Haiku 4.5 | $0.00003 | $0.00111 |
Grade A, and why
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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Minutes Skill
Access Lark Minutes recordings via the lark CLI.
Running Commands
Ensure lark is in your PATH, or use the full path to the binary. Set the config directory if not using the default:
lark minutes <command>
# Or with explicit config:
LARK_CONFIG_DIR=/path/to/.lark lark minutes <command>
Getting the Minute Token
The minute token is a 24-character identifier found in the Minutes URL:
- URL format:
https://bytedance.larksuite.com/minutes/obcnq3b9jl72l83w4f14xxxx - Token:
obcnq3b9jl72l83w4f14xxxx(the last part of the URL)
Commands Reference
Check Authentication
lark auth status
Get Minutes Metadata
lark minutes get <minute_token>
Returns:
{
"token": "obcnq3b9jl72l83w4f14xxxx",
"title": "Team Sync Meeting",
"owner_id": "ou_612b787ccd3259fb3c816b3f678dxxxx",
"create_time": "2024-01-20T10:30:00+08:00",
"duration_seconds": 3600,
"duration_display": "1h 0m 0s",
"url": "https://bytedance.larksuite.com/minutes/obcnq3b9jl72l83w4f14xxxx"
}
Export Transcript
# Plain text transcript
lark minutes transcript <minute_token>
# SRT format (for subtitles)
lark minutes transcript <minute_token> --format srt
# Include speaker names
lark minutes transcript <minute_token> --speaker
# Include timestamps
lark minutes transcript <minute_token> --timestamp
# Full transcript with all details
lark minutes transcript <minute_token> --format srt --speaker --timestamp
# Save to file
lark minutes transcript <minute_token> --output transcript.txt
lark minutes transcript <minute_token> --format srt --output transcript.srt
Flags:
--format txt|srt- Output format (default: txt)--speaker- Include speaker names in transcript--timestamp- Include timestamps--output <file>- Write to file instead of JSON output
Returns (when not using --output):
{
"token": "obcnq3b9jl72l83w4f14xxxx",
"format": "txt",
"content": "Full transcript text here..."
}
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.
- 6d ago First seen · 165 lines · 31 tokens per session scan A a747b76d4a3e
minutes is a skill published in the GitHub repository yjwong/lark-cli (53 stars, last pushed 5mo ago), licensed MIT. It adds 31 tokens to every session and 1,106 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
larksnap-fetch
把飞书/Lark 文档或普通网页抓取并保存到本地,也能编辑用户有权限的飞书文档,并用已登录浏览器执行一次网页搜索。用户要求下载、导出、抓取、写入飞书文档,或联网搜索资料/参考链接时使用本技能,即使没有提到 larksnap。底层通过技能自带 daemon 桥接已登录的 larksnap 浏览器扩展;arXiv 使用独立脚本。.
lark-cli
Lark/Feishu workspace operations through the lark-cli tool — calendar and meeting rooms, docs, sheets, Base (多维表格), wiki, drive, mail, IM messages, tasks, OKR, approvals, minutes, video conferences, whiteboards, slides, contacts, attendance, and real-time events. Use whenever the user mentions 飞书 / Lark / 我的日程 / 约会议 /…
lark-drive
飞书云空间(云盘/云存储):管理 Drive 文件和文件夹,包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、评论/权限/订阅、标题、版本和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题,或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用;doubao.com 云空间 URL/token 也按资源路径和 token 路由,不回退 WebFetch。不负责:文档内容编辑(走 lark-doc)、表格/Base 表内数据操作(走…
lark-vc
飞书视频会议:搜索历史会议记录、查询会议纪要(总结/待办/章节/逐字稿)、查询参会人快照。当用户查询已结束的会议、获取会议产物(纪要/妙记)、查看参会人时使用;查询未来日程走 lark-calendar。不负责:Agent 真实入会/离会、会中实时事件(走 lark-vc-agent)。.
lark-wiki
飞书知识库:管理知识空间、空间成员和文档节点。创建和查询知识空间、查看和管理空间成员、管理节点层级结构、在知识库中组织文档和快捷方式。当用户需要在知识库中查找或创建文档、浏览知识空间结构、查看或管理空间成员、移动或复制节点时使用。当用户给出 doubao.com 的 /wiki/ URL/token 时,也应直接使用本 skill,不要因为域名不是飞书而回退到 WebFetch;路由依据是 URL 路径模式和 token,而不是域名。不负责:上传文件到知识库节点下(走 lark-drive)、编辑文档/表格/Base 内容(走 lark-doc / lark-sheets / lark-base)。.
lark-note
飞书会议纪要(Note)直查:已知 noteid 时查询纪要详情、展示类型、关联文档 token,并读取 unified 原始逐字记录。当用户已持有 noteid,或从文档显式 vc-node-id 获得 noteid 时使用。不负责会议/日程/妙记定位、文档标题搜索或 Docx 正文读取。高频操作优先使用 larknotedetail、larknotetranscript。.