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 CavinHuang/lume --skill lark-cligit clone --depth 1 https://github.com/CavinHuang/lumeWrote 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/cavinhuang/lume/lark-cli)<a href="https://agentmods.dev/skills/cavinhuang/lume/lark-cli"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/lark-cli/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/cavinhuang/lume/lark-cli"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/lark-cli.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 | $0.00045 | $0.00465 |
| Opus 5.5 | $0.00018 | $0.00186 |
| Sonnet 5.5 | $0.00009 | $0.00093 |
| Haiku 4.5 | $0.00005 | $0.00047 |
Grade A, and why
飞书企业 IM 操作 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.
What it actually says
飞书 CLI(lark-cli)操作手册
通过 feishu_cli 工具执行飞书 CLI 子命令。工具签名:command(子命令)+ args(参数数组)。
授权(首次必做)
飞书 CLI 使用 OAuth 授权,用户须在 Lume IM 设置中完成。
- 检查授权状态:
command="auth",args=["status"] - 发起授权:
command="auth",args=["login", "--recommend", "--json"](返回登录 URL,用户浏览器打开)
未授权时工具结果会含 guidance 字段,提示去设置授权。
能力域
lark-cli 覆盖飞书主要能力域(200+ 命令)。子命令可能随版本变化,优先用 command="<域>", args=["--help"] 动态确认参数,不要猜测:
| 能力域 | 典型用途 |
|---|---|
| message / im | 发送消息、工作通知 |
| calendar | 查询、创建日历日程 |
| docx / drive | 读取飞书文档、云空间文件 |
| contact | 查询通讯录、组织架构、部门成员 |
| bitable | 多维表格读写 |
| approval | 审批流程 |
使用要点
- 先
auth status确认已授权;未授权时停止并提示用户去设置授权。 - 不确定参数时,对目标子命令加
--help探索,不要猜测参数。 - 发消息等写操作是真实企业行为,确认目标接收人与内容后再执行。
- 结果为结构化 JSON(
feishu_cli返回 stdout);解析失败时检查stderr与exitCode。
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 · 40 lines · 45 tokens per session scan A 76a2a2243d96
飞书企业 IM 操作 is a skill published in the GitHub repository CavinHuang/lume (3 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 465 once invoked, about $0.0002 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 2026-08-31.
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