A specialized automation skill that retrieves employee attendance records from the DingTalk Open Platform and exports them to local storage or notification channels.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install keplerjai-dingtalk-attendance
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install keplerjai-dingtalk-attendance using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The DingTalk Attendance Integration is an essential tool for HR and operations teams looking to bridge the gap between enterprise communication platforms and local data analysis. By leveraging the DingTalk Open Platform API, this skill allows users to pull granular attendance data, including punch-in records and daily/monthly reports, directly into their local environment.
This skill is built to operate within the Openclaw Skills ecosystem, ensuring that sensitive enterprise credentials remain secure and that data synchronization can be handled automatically via scheduled tasks. It eliminates the manual effort of exporting reports from the DingTalk admin console, providing a programmatic way to monitor attendance trends and identify irregularities.
Copy the example environment file and fill in your credentials:
# Navigate to skill directory
cd keplerjai-dingtalk-attendance
# Copy environment file
cp .env.example .env
Edit the .env file with your details:
DINGTALK_APP_KEY=your_app_key
DINGTALK_APP_SECRET=your_app_secret
DINGTALK_AGENT_ID=your_agent_id
OUTPUT_DIR=./data/attendance
OUTPUT_FORMAT=json
npm install axios moment
The skill organizes output data within the directory specified in the .env file. The schema includes:
| Data Type | Format | Description |
|---|---|---|
| Punch Records | JSON/CSV | Individual check-in/out timestamps and locations. |
| Daily Reports | JSON | Aggregated daily status (Late, Early Leave, Normal). |
| Monthly Reports | JSON | Summary of total work hours and attendance days. |
| Exception Logs | Text/JSON | Specific logs for missed punches or unauthorized absences. |
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