monitor-experiment

Monitor running experiment screen sessions and generate structured results reports.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/KwongFuk/codex-skills --skill monitor-experiment-kwongfuk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: monitor-experiment
Source: https://github.com/KwongFuk/codex-skills/tree/main/global/monitor-experiment
Command: npx skills add https://github.com/KwongFuk/codex-skills --skill monitor-experiment-kwongfuk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Monitor running experiments, gather progress updates, and surface results to stakeholders, saving time and reducing manual checking.

Core Features & Use Cases

  • Continuous monitoring of multiple experiment sessions across hosts
  • Automatic collection of progress metrics and status updates
  • Aggregated results reporting with optional notifications
  • Graceful handling of missing data and errors; supports Feishu notification when configured
  • Real-world use case: monitor long-running simulations and extract final outcomes for quick review

Quick Start

Monitor all active experiment screen sessions on configured hosts and generate a consolidated results summary.

Frequently Asked Questions about monitor-experiment

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

FAQPage Schema
How do I monitor running experiments across multiple servers?

To monitor running experiments across remote servers, use an automated tool to inspect screen sessions via SSH, collect progress updates, and summarize outputs into a structured status report.

How do I track experiment progress in screen sessions automatically?

Track experiment progress in screen sessions by implementing deterministic steps to inspect outputs, detect completed runs, and aggregate metrics into a consolidated results summary.

Can I send experiment results to Feishu when monitoring completes?

Yes, you can send experiment results to Feishu. The monitoring process supports Feishu notification when configured, allowing you to surface final outcomes to stakeholders upon completion.

What is the best way to collect results from long-running simulations?

The best way to collect results from long-running simulations is to continuously monitor active sessions, automatically detect completion, and extract final outcomes for quick review without manual checking.

Does automated experiment monitoring handle missing data and errors?

Yes, automated experiment monitoring handles missing data and errors gracefully. It manages exceptions during output collection and session inspection without crashing the reporting process.

Do I need SSH to monitor experiments across containers?

You need SSH configured to monitor experiments across remote hosts. The monitoring process connects via SSH to inspect screen sessions on servers or containers and gather progress updates.