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lark-attendance
飞书考勤打卡:查询自己的考勤打卡记录
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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飞书考勤打卡:查询自己的考勤打卡记录
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Configure official native OpenCode to add a local LiteLLM OpenAI-compatible Gemini model as a selectable provider using config-file secret references, without wrappers and without changing the current default model.
Diagnose and repair a local LiteLLM + Vertex AI proxy on macOS, especially when `http://127.0.0.1:4000/` or `/v1` is down, startup hangs at `Waiting for application startup`, `/ui/login/` says `Authentication Error, Not connected to DB!`, or Prisma/PostgreSQL issues need to be isolated from the API proxy by splitting `lite` and `full` modes.
Configure an existing Hermes Agent deployment to use a local LiteLLM Vertex Proxy as an additional model option, without disturbing the current Hermes configuration. Use when you need Hermes to access Gemini models via a local LiteLLM gateway already running at 127.0.0.1:4000.
Configure OpenClaw to use an already-running local LiteLLM gateway for Gemini on macOS, with a low-risk add-as-option workflow, exact openclaw.json snippets, verification commands, rollback steps, and the real caveat that some per-run model overrides are rejected unless you use --local or switch the active alias first.
Build a local macOS LiteLLM gateway that exposes Google Cloud Vertex AI Gemini behind an Anthropic-compatible endpoint, then connect Claude Code and OpenClaw to it without breaking existing setups. Use when starting from a fresh machine, when you need a self-starting LaunchAgent service on 127.0.0.1, when Claude Code should route through LiteLLM, or when OpenClaw needs a selectable Gemini-via-LiteLLM model.
Fix packaging and validation failures caused by fragile SKILL frontmatter when publishing or syncing skills into Toby's davidtoby/agent-skills repository. Use when rebuild_all_packages.py fails early on a promoted skill, especially after copying local-only community skills such as lark-* into the repo.
| name | lark-attendance |
| description | 飞书考勤打卡:查询自己的考勤打卡记录 |
| metadata | {"requires":{"bins":["lark-cli"]},"cliHelp":"lark-cli attendance --help"} |
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
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[] |
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。
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。
query — 查询用户考勤打卡记录| 方法 | 所需 scope |
|---|---|
user_tasks.query | attendance:task:readonly |