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 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/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/yjwong/lark-cli/minutes"><img src="https://agentmods.dev/badge/skills/yjwong/lark-cli/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 | $0.00031 | $0.01106 |
| Opus 5.5 | $0.00012 | $0.00442 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo ago First seen · 165 lines · 31 tokens per session scan A a747b76d4a3e
minutes is a skill published in the GitHub repository yjwong/lark-cli (56 stars, last pushed 6mo ago), licensed MIT. It adds 31 tokens to every session and 1,106 once invoked, about $0.0001 per session on Opus 5.5. 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
A bridge for downloading Feishu/Lark documents or ordinary webpages into local files, with options such as Markdown, HTML, or PDF. Feishu, also called Lark, is a workplace collaboration platform.
docs-scraper
A tool-assisted method for downloading an entire technical documentation website as local Markdown files. It first checks whether the site offers ready-made Markdown or text bundles before crawling pages.
lark-cli
A command-line tool for working with Lark, also called Feishu, a workplace collaboration platform. It covers services such as calendars, meetings, documents, spreadsheets, messaging, tasks, approvals, and shared files.
lark-drive
A Feishu cloud-drive tool for managing online files and folders. Feishu cloud drive is a shared online storage area, similar to Google Drive or Dropbox.
lark-vc
A Feishu/Lark skill for finding completed video meetings and reading their records, including summaries, action items, chapters, transcripts, and attendee snapshots.
lark-wiki
A Feishu/Lark knowledge-base skill for managing knowledge spaces, members, document nodes, and their hierarchy. A knowledge base is an organized collection of linked documents.