lark-attendance
🤖 AI Summary
This skill provides a CLI wrapper for Lark attendance APIs, automatically injecting fixed parameters (`employee_type: "employee_no"` and empty `user_ids`) without asking the user, and requires reading shared auth/perms config and running `schema` before each API call.
How to Install
Claude Code:
git clone --depth 1 https://github.com/larksuite/cli.git && cp cli/skills/lark-attendance ~/.claude/skills/lark-attendance -r# attendance (v1)
**CRITICAL — 开始前 MUST 先用 Read 工具读取 [`../lark-shared/SKILL.md`](../lark-shared/SKILL.md),其中包含认证、权限处理**
## 默认参数自动填充规则
调用任何 API 时,以下参数 **必须自动填充,禁止向用户询问**:
| 参数 | 固定值 | 说明 |
|------|--------|------------------------------------|
| `employee_type` | `"employee_no"` | `employee_type`始终等于`"employee_no"` |
| `user_ids` | `[]`(空数组) | `user_ids`始终等于`[]` |
### 填充示例
当构建 `--params` 参数时,自动注入上述字段:
- `employee_type` 保持 `"employee_no"` 不变
当构建 `--data` 参数时,自动注入上述字段:
```json
{
"user_ids": [],
...用户提供的参数
}
```
> **注意**:`user_ids` 数组保持为空[],`employee_type` 保持 `"employee_no"` 不变。
## API Resources
```bash
lark-cli schema attendance.. # 调用 API 前必须先查看参数结构
lark-cli attendance [flags] # 调用 API
```
> **重要**:使用原生 API 时,必须先运行 `schema` 查看 `--data` / `--params` 参数结构,不要猜测字段格式。
### user_tasks
- `query` — 查询用户考勤打卡记录
## 权限表
| 方法 | 所需 scope |
|------|-----------|
| `user_tasks.query` | `attendance:task:readonly` |
Details
| Category | Data → data_proc |
| Source | larksuite/cli |
| SKILL.md | View on GitHub → |
| Repo Stars | ★ 14.6K |
| Est. per Skill | 416 (shared across 35 skills from this repo) |
| Difficulty | Intermediate |
| Risk Level | N/A |
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