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evaluate-run

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Inspect and summarize HLRP runs

Software Engineering#debugging#performance analysis#experiment tracking#hlrp#run evaluation#log inspection
Authorfelixmin
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you quickly understand the status and performance of your High-Level Reinforcement Learning (HLRP) runs without needing to manually sift through logs and cluster outputs.

Core Features & Use Cases

  • Run Evaluation: Analyze the status, performance trends, and key artifacts of HLRP runs.
  • Flexible Referencing: Identify runs using job IDs, directory paths, documented stems, or simply by checking the last run.
  • Use Case: After a long training job finishes on the cluster, use this Skill to get a concise summary of its success, failure points, and key metrics.

Quick Start

Use the evaluate-run skill to check the last run on this system.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: evaluate-run
Download link: https://github.com/felixmin/robot-learning-from-video/archive/main.zip#evaluate-run

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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