Report experiment, SLURM job, and pipeline status per dataset.
npx skills add https://github.com/RobertFrenken/DQN-Fusion --skill check-status
Please help me install this Agent Skill. Skill: check-status Source: https://github.com/RobertFrenken/DQN-Fusion/tree/main/.claude/skills/check-status Command: npx skills add https://github.com/RobertFrenken/DQN-Fusion --skill check-status
This Skill provides a consolidated view of ongoing experiments, job queues, and pipeline progress, reducing manual checks and improving awareness of system health.
Run the status check to view the latest progress of experiments, SLURM jobs, and pipeline stages.
High-intent search queries and answers about installing and using this skill.
To check SLURM job and experiment status, run the status check to read local experiment directories and log files, aggregating the latest progress, recent job errors, and completed stages into a compact table.
Yes, you can monitor pipeline progress by applying status checks to a given dataset filter, providing per-dataset stage statuses to confirm which datasets have completed critical stages.
The best way to view stalled jobs and errors is to generate a snapshot of the SLURM queue and local logs, aggregating results into a human-readable table to prioritize remediation for failed jobs.
No external dependencies are required to monitor pipeline progress, as the approach directly reads local experiment directories and log files to aggregate system health awareness.
You need a consolidated view of experiment progress to reduce manual checks across multiple datasets, improving awareness of system health and helping identify stalled jobs to quickly prioritize remediation.
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