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Agent Skill · 效率

analyzing-attendance-record-zhzh(分析考勤记录 zhzh)

analyzing-attendance-record-zhzh 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 OpenClaw 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

analyzing-attendance-record-zhzh 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 16,727。

总安装 2,791周安装 114GitHub Stars 公开资料未说明下载 903核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:analyzing-attendance-record-zhzh(分析考勤记录 zhzh)
来源仓库:https://github.com/wang2y/analyzing-attendance-record-zhzh
安装命令:
openclaw skills install analyzing-attendance-record-zhzh
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install analyzing-attendance-record-zhzh

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

analyzing-attendance-record-zhzh 分析员工考勤记录,输出 docx 报告和 xlsx 明细表。适用于 HR 部门自动化生成周报与考勤统计,提升人事管理效率。通过 clawhub 安装后,可对接内部考勤系统数据进行批量处理。处理前需确保原始数据格式一致,并对个人信息做匿名化处理。

适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install analyzing-attendance-record-zhzh;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

analyzing-attendance-record-zhzh 怎么安装?

在终端执行 openclaw skills install analyzing-attendance-record-zhzh。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

analyzing-attendance-record-zhzh 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

analyzing-attendance-record-zhzh 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

analyzing-attendance-record-zhzh 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

analyzing-attendance-record-zhzh 用的人多吗?

公开数据是累计安装 2,791 次,近一周安装 114 次,下载 903 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

analyzing-attendance-record-zhzh 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
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github

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7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
analyzing-attendance-record-zhzh

分析考勤记录 zhzh · 本页

2,791—只读MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
analyzing-attendance-record-zhzh
description
Analyze the weekly attendance records of employees at Zhuihui Branch and generate an attendance report in docx format. At the same time, output an xlsx file as a detailed supplement.

Attendance record analysis for Zhuihui Branch

Automated analysis of attendance record data.

Input Requirements

The expected input of attendance data should be in xlsx format. The first two rows are headers (Row 1: group headers, Row 2: column names). Data starts from Row 3. The columns are:

Basic Info (基本信息)

--姓名:employee's name information

--工号:employee ID number (may be '-' for some employees)

--部门:department information of the employees, including: '珠晖支行营业部', '新湘支行', '火车站支行', '茶山支行', '茅坪支行', '滨江支行', '珠晖支行本部'.

--日期:the date format is YYYYMMDD.

Clock-in Info (打卡信息)

--上班1打卡时间:primary clock-in time, format HH:MM. '-' or empty means no clock-in.

--下班1打卡时间:primary clock-out time, format HH:MM. '-' or empty means no clock-out.

--上班2/下班2/上班3/下班3打卡时间:additional clock-in/out pairs (usually empty, used for split shifts).

--考勤结果:The attendance results are classified into these categories: '正常', '缺卡', '迟到', '早退', '迟到早退', and '-' (no attendance data, typically for excluded or absent employees).

Time Statistics (时长统计)

--应出勤(小时):expected work hours per day.

--计薪时长(小时):paid hours.

--实际出勤(小时):actual work hours.

--迟到时长(分钟):late duration in minutes.

--早退时长(分钟):early leave duration in minutes.

--加班时长(小时):overtime hours.

Data Quality Check

1.Group and count by department for the statistics.

2.'新湘支行' needs to remove '珠晖-新湘-王治国' and '珠晖-新湘-魏紫兰','茶山支行' needs to remove '珠晖-茶山-陈妍','火车站支行' needs to remove '珠晖-周文娟','珠晖支行本部' needs to remove '陈喆' and '刘一婧' and '谭国球' and '谭庆荣' and '谢清林'. Additionally, ensure '陈迪' is adjusted to '茶山支行' for the output statistical analysis regardless of their original department.

3.The main office of '珠晖支行本部' consists of four departments, namely '综合管理部', '业务管理部', '公司业务部', and '个人金融部'. The staff of '综合管理部' are: '彭涵'、'谢祎'、'王友'、'蒋蕙' and '朱亚民'. '业务管理部' are: '彭国柱'、'肖冬梅'、'邓意平'、'王知生'、'颜慧松'、'李娜'、'刘新恒' and '李卿'. '公司业务部' are: '陈瑶'、'周鹍'、'甘健生'、'管巧林' and '欧海滨'. '个人金融部' are: '刘平'、'廖欢'、'陈杰'、'吴欣钰'、'费鸿平' and '汤锋'. Please divide the main office of '珠晖支行本部' into these four departments to record the attendance records.

Branch Work Schedule

Each branch has a different work schedule. The AI must apply the correct schedule when calculating expected clock-ins.

Standard branches (Monday to Friday, 5 days/week)

The following branches work Monday to Friday. Each employee is expected to clock in 10 times per week (2 times/day × 5 days).

--火车站支行 --茅坪支行 --滨江支行 --珠晖支行本部 (including all 4 sub-departments: 综合管理部, 业务管理部, 公司业务部, 个人金融部)

Weekend-rotation branches: 新湘支行 and 茶山支行 (Monday to Saturday coverage)

These branches maintain Saturday coverage through a rotation system, but the total required clock-ins for EVERY employee in these branches remains 10 times per week (2 times/day × 5 working days).

--Regular staff: Work Monday to Friday (10 clock-ins/week). --Weekend-rotation staff: Work Saturday and typically rest one day during Monday to Friday. Due to this compensatory leave, they will appear to have missed clock-ins on a weekday. The AI must correctly judge this: as long as their total actual clock-ins reach 10 times across Monday to Saturday, the weekday "absences" are normal rest days and should NOT be counted as missing cards (缺卡).

Full-coverage branch: 珠晖支行营业部 (7-day coverage)

This branch maintains coverage on all 7 days through a rotation system:

--Regular staff: Work Monday to Friday (10 clock-ins/week). --Weekend-rotation staff (3 people): Work Saturday and Sunday, and rest 1–2 days during Monday to Friday. Their expected clock-ins depend on their actual schedule: - If rest 2 weekdays: work 5 days total → 10 clock-ins/week - If rest 1 weekday: work 6 days total → 12 clock-ins/week

How to identify weekend-rotation staff: Check the Excel data for employees in 珠晖支行营业部 who have clock-in records on Saturday (周六) and/or Sunday (周日). Cross-reference with their weekday records to determine how many weekdays they rested, then calculate the correct expected clock-ins accordingly.

Holiday exceptions

All the above schedules are for normal working weeks only. During public holidays, attendance should follow the specific holiday schedule. See references/special-attendance-analysis-rules.md for holiday rules.

Mainly Analyzed Data

Calculate attendance rate:

--attendance rate = The actual number of check-ins by the department / The number of times the department should clock in × 100%

Calculating "the number of times the department should clock in": Sum up the expected clock-ins for each employee in the department, based on their individual schedule (see Branch Work Schedule above). Do NOT assume a uniform number for all employees — weekend-rotation staff may have different expected clock-ins than regular staff.

Sort by department attendance rate.

Output the attendance rate, the number of required clock-ins, the actual clock-ins, the number of missed clock-ins, the personnel who missed clock-ins, as well as the details of those who were late or left early for each department.

Special Attendance Analysis Rules

If user asks about '特殊考勤情况分析', read references/special-attendance-analysis-rules.md for performance-based actions and constraints.

平台分布

OpenClaw

82.91%
按下载量换算749

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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