agentsclimarketplace

Lark attendance

Skill DropFan/claude-code-plugins/plugins/lark/skills/lark-attendance

飞书考勤打卡:查询自己的考勤打卡记录From its SKILL.md

Install
npx -y skills add DropFan/claude-code-plugins --skill lark-attendance

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

3 things to look at

  • skips confirmationTells the agent to proceed without asking first, 1 time: "必须自动填充,禁止向用户询问".
  • 7 stars7 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 4 commands, including `lark-cli schema attendance.<resource>.<method>` and 3 more.

SKILL.md

2.3 KB, 697 tokens by cl100k_base, as published. Nobody here has run it

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⚙️ Cowork / Claude Desktop 执行环境说明(自动注入)

本技能依赖本地 lark-cli@larksuite/cli,可用 command -v lark-cli 定位)及其 ~/.lark-cli 登录态(应用密钥存于 macOS keychain)。

在 Cowork 中运行任何 lark-cli 命令时,必须在本地 macOS 上执行(使用 Desktop Commander 的 start_process / interact_with_process,或其它本地 shell 工具),不要用隔离的 Linux 沙箱 mcp__workspace__bash——沙箱里没有 lark-cli、也读不到 keychain。 执行前确保 npm 全局 bin 目录(npm prefix -g 输出目录下的 bin)在 PATH 中。

(在 Claude Code 中可忽略本说明,lark-cli 在本机 shell 直接可用。)

attendance (v1)

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.queryattendance:task:readonly

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.