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 zhinjs/zhin --skill larkgit clone --depth 1 https://github.com/zhinjs/zhinWrote 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/zhinjs/zhin/lark)<a href="https://agentmods.dev/skills/zhinjs/zhin/lark"><img src="https://agentmods.dev/badge/skills/zhinjs/zhin/lark/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/zhinjs/zhin/lark"><img src="https://agentmods.dev/badge/skills/zhinjs/zhin/lark.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 | $0.00018 | $0.00188 |
| Opus 5.5 | $0.00007 | $0.00075 |
| Sonnet 5.5 | $0.00004 | $0.00038 |
| Haiku 4.5 | $0.00002 | $0.00019 |
Grade A, and why
lark 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 26d 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.
What it actually says
飞书
涉及成员的操作先用 get_user 取得稳定用户 ID。创建群聊后可添加成员、更新群设置和维护管理员；解散群聊属于不可逆操作，应依照 Tool 审批策略执行。文件发送前先用 upload_file 获得文件标识。
当前 Agent Tool 不提供当前群成员列表、踢人或独立群详情查询。
What ships with it
8 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.
- tools/add_members/index.ts 796 B runs code
- tools/create_chat/index.ts 804 B runs code
- tools/dissolve_chat/index.ts 553 B runs code
- tools/get_user/index.ts 457 B runs code
- tools/remove_managers/index.ts 811 B runs code
- tools/set_managers/index.ts 808 B runs code
- tools/update_chat/index.ts 938 B runs code
- tools/upload_file/index.ts 836 B runs code
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.
- 26d ago First seen · 23 lines · 18 tokens per session scan A a6de190f018d
lark is a skill published in the GitHub repository zhinjs/zhin (136 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 188 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 2026-09-21.
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