attendance (v1)
SkillDev toolsLets your agent look up your own Feishu attendance check-in records.
Use attendance (v1) in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the attendance (v1) skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this skill
Feishu attendance check-in: query your own attendance check-in records
What this skill tells your AI
The instructions your AI receives, as published by larksuite/cli in skills/lark-attendance/SKILL.md and read by ahel’s review.
CRITICAL — 开始前 MUST 先用 Read 工具读取 ../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:
{
"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
lark-cli schema attendance.<resource>.<method> # 调用 API 前必须先查看参数结构
lark-cli attendance <resource> <method> [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 |
Signals
- GitHub stars
- 18k
- Forks
- 1k
- Last commit
- Sep 2026
- Installs
- 403k installs
Others that do the same job
Advanced
- Item type
- skill
- Key
lark-attendance-larksuite- Source
- github.com/larksuite/cli