lark-attendance SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
lark-attendance from kendrick-stein/mcislab_deepread is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add kendrick-stein/mcislab_deepread/lark-attendance@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- kendrick-stein/mcislab_deepread
- Path
.agents/skills/lark-attendance/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed May 25, 2026
- Size
- 1,620 bytes
- Repository stars
- 12
- License
- none declared
飞书考勤打卡：查询自己的考勤打卡记录.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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.<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` |Read the whole file at its exact version.
How to install
mdr add kendrick-stein/mcislab_deepread/lark-attendance@sha256:a0ea5f3fa176496dThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_n4h4w7xnnx6vj3j2)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 25, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1620 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
kendrick-stein/mcislab_deepread · 12 stars · license none declared · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_n4h4w7xnnx6vj3j2 GET https://markdownregistry.com/api/v1/resolve?ref=kendrick-stein/mcislab_deepread/lark-attendance GET https://markdownregistry.com/api/v1/blob/a0ea5f3fa176496dda31d912f7e55ad7cfed5243b30567d16e7f9dc96eebbe8b
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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