kaiwu-monitor

Automate Kaiwu platform training metric monitoring, charting, anomaly detection, and configuration updates.

Updated Jun 15, 2026
One-click install
npx skills add https://github.com/Piaoxuemoli/qoobeeHermes --skill kaiwu-monitor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kaiwu-monitor
Source: https://github.com/Piaoxuemoli/qoobeeHermes/tree/main/hermes/skills/kaiwu/kaiwu-monitor
Command: npx skills add https://github.com/Piaoxuemoli/qoobeeHermes --skill kaiwu-monitor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the monitoring and management of training metrics and configurations for the Kaiwu platform, streamlining the process of fetching metrics, plotting charts, running anomaly checks, and updating monitor configurations.

Core Features & Use Cases

  • Training Metrics Fetching: Automatically fetch training metrics from the Kaiwu platform.
  • Chart Generation: Generate training charts for visual analysis.
  • Anomaly Detection: Perform anomaly checks on training data.
  • Configuration Management: Update monitor configurations such as tokens and task IDs.
  • Use Case: For users working with the Kaiwu platform, this Skill helps in quickly assessing the training status, generating charts, detecting anomalies, and updating monitor configurations.

Quick Start

Use the kaiwu-monitor skill to fetch training metrics for the last 6 hours from the Kaiwu platform.

Frequently Asked Questions about kaiwu-monitor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate fetching training metrics from the Kaiwu platform?

Training chart generation for the Kaiwu platform is handled by Python scripts that process fetched training metrics and plot visual charts. This provides visual analysis capabilities to quickly assess the training status without manual plotting.

Can I perform anomaly detection on Kaiwu training data automatically?

Updating monitor configurations for the Kaiwu platform involves modifying tokens and task IDs directly. The skill manages these configuration updates, ensuring your monitoring setup stays synchronized with your current training tasks.

What authentication is required to access Kaiwu platform monitoring data?

Anomaly detection on Kaiwu training data works by running automated anomaly checks against the fetched training metrics. This process evaluates the data points to detect deviations from expected training behavior.

What's the best way to monitor training metrics and configurations for the Kaiwu platform?

The skill supports fetching training metrics from the Kaiwu platform for custom time windows, such as the last 6 hours. You can specify the desired time range within the Python scripts to retrieve the relevant training data.