Atlas / Skills / larksuite / Lark Skill Maker

Lark Skill MakerSAFE

skills/larksuite/lark-skill-maker

The official Lark/飞书 CLI tool, maintained by the larksuite team — built for humans and AI Agents. Covers core business domains including Messenger, Docs, Base, Sheets, Calendar, Mail, Tasks, Meetings, and more, with 200+ commands and 20+ AI Agent Skills.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.0.0
Hosts
—
License
MIT
Stars
17,544
01

Overview

The official Lark/飞书 CLI tool, maintained by the larksuite team — built for humans and AI Agents. Covers core business domains including Messenger, Docs, Base, Sheets, Calendar, Mail, Tasks, Meetings, and more, with 200+ commands and 20+ AI Agent Skills.

Read from source at commit 91a26abd3925OBSERVED · 2026-10-07
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: lark-skill-maker
version: 1.0.0
description: "创建 lark-cli 的自定义 Skill。当用户需要把飞书 API 操作封装成可复用的 Skill(包装原子 API 或编排多步流程)时使用。"
metadata:
  requires:
    bins: ["lark-cli"]
---

# Skill Maker

基于 lark-cli 创建新 Skill。Skill = 一份 `SKILL.md`,教 AI 用 CLI 命令完成任务。

## CLI 核心能力

```bash
lark-cli <service> <resource> <method>          # 已注册 API
lark-cli <service> +<verb>                      # Shortcut(高级封装)
lark-cli api <METHOD> <path> [--data/--params]  # 任意飞书 OpenAPI
lark-cli schema <service.resource.method>       # 查参数定义
```

优先级:Shortcut > 已注册 API > `api` 裸调。

## 调研 API

```bash
# 1. 查看已有的 API 资源和 Shortcut
lark-cli <service> --help

# 2. 查参数定义
lark-cli schema <service.resource.method>

# 3. 未注册的 API,用 api 直接调用
lark-cli api GET /open-apis/vc/v1/rooms --params '{"page_size":"50"}'
lark-cli api POST /open-apis/vc/v1/rooms/search --data '{"query":"5F"}'
```

如果以上命令无法覆盖需求(CLI 没有对应的已注册 API 或 Shortcut),使用 [lark-openapi-explorer](../lark-openapi-explorer/SKILL.md) 从飞书官方文档库逐层挖掘原生 OpenAPI 接口,获取完整的方法、路径、参数和权限信息,再通过 `lark-cli api` 裸调完成任务。

通过以上流程确定需要哪些 API、参数和 scope。

## SKILL.md 模板

文件放在 `skills/lark-<name>/SKILL.md`:

```markdown
---
name: lark-<name>
version: 1.0.0
description: "<功能描述>。当用户需要<触发场景>时使用。"
metadata:
  requires:
    bins: ["lark-cli"]
---


# <标题>

> **前置条件:** 先阅读 [`../lark-shared/SKILL.md`](../lark-shared/SKILL.md)。

## 命令

\```bash
# 单步操作
lark-cli api POST /open-apis/xxx --data '{...}'

# 多步编排:说明步骤间数据传递
# Step 1: ...(记录返回的 xxx_id)
# Step 2: 使用 Step 1 的 xxx_id
\```

## 权限

| 操作 | 所需 scope |
|------|-----------|
| xxx | `scope:name` |
```

## 关键原则

- **description 决定触发** — 包含功能关键词 + "当用户需要...时使用"
- **认证** — 说明所需 scope,登录用 `lark-cli auth login --domain <name>`
- **安全** — 写入操作前确认用户意图,建议 `--dry-run` 预览
- **编排** — 说明数据传递、失败回滚、可并行步骤
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-07 · audit v0.4.1 · source sha 91a26abd3925full audit observations/trust-audit/skill/larksuite__lark-skill-maker.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-0791a26abd3925SAFEB89first audit
05

Questions

What does the Lark Skill Maker skill do?

The official Lark/飞书 CLI tool, maintained by the larksuite team — built for humans and AI Agents. Covers core business domains including Messenger, Docs, Base, Sheets, Calendar, Mail, Tasks, Meetings, and more, with 200+ commands and 20+ AI Agent Skills.

Is Lark Skill Maker safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Lark Skill Maker access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (91a26abd3925), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.

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