monitor-experiment

Monitors remote experiment sessions and aggregates their latest results via SSH.

1|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/kitcaf/skills --skill monitor-experiment-kitcaf
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: monitor-experiment
Source: https://github.com/kitcaf/skills/tree/main/skills/skills-codex/skills/monitor-experiment
Command: npx skills add https://github.com/kitcaf/skills --skill monitor-experiment-kitcaf

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables teams to monitor running experiments across remote servers, automatically collecting progress and results to reduce manual checks and delays.

Core Features & Use Cases

  • Real-time progress monitoring: regularly check active experiment sessions and report status.
  • Output aggregation: pull latest results from each session and compile summaries.
  • Use Case: when scientists run multiple experiments in parallel, this skill provides a single view of progress and outcomes.

Quick Start

Check the progress of the currently running experiment and fetch the latest results.

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 on remote servers?

You can monitor running experiments on remote servers by using SSH access to check active screen sessions, automatically retrieving progress updates and collecting the latest results.

Can I aggregate experiment results from multiple screen sessions?

Yes, you can aggregate experiment results from multiple screen sessions by connecting via SSH, parsing the JSON outputs from each session, and compiling them into a single summary view.

What's the best way to check experiment progress in parallel?

The best way to check experiment progress in parallel is to automate SSH connections to each remote server, query the active screen sessions, and summarize the real-time status across all instances.

Do I need SSH access to collect results from running experiments?

Yes, SSH access is required to connect to the remote servers, navigate the active screen sessions, and retrieve the experiment outputs for aggregation and reporting.

How does automation handle JSON parsing for experiment reporting?

Automation handles JSON parsing by extracting structured result data from each remote experiment session, aggregating the parsed outputs, and presenting a compiled summary of the findings.

Are there limitations when tracking experiments via screen and SSH?

Limitations include relying on stable SSH connections to remote servers and requiring experiments to run within properly named screen sessions for accurate status tracking and result collection.