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find-wandb

Locate WandB run URLs, directories, and configurations for SLURM jobs.

1|Updated Apr 23, 2026
Search Tags:#logs#config#wandb#experiment-tracking#slurm#wandb-url
One-click install
npx skills add https://github.com/KangOxford/auto-quant-research --skill find-wandb
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: find-wandb
Source: https://github.com/KangOxford/auto-quant-research/tree/main/execution-layer/skills/find-wandb
Command: npx skills add https://github.com/KangOxford/auto-quant-research --skill find-wandb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps researchers and engineers quickly locate the WandB run URL, the local wandb directory, and the full configuration for a given SLURM job ID, reducing manual digging and improving traceability.

Core Features & Use Cases

  • Find the WandB run URL from logs and metadata by SLURM job ID.
  • Locate the local wandb directory associated with the run for quick inspection.
  • Retrieve configuration data from wandb-metadata.json or config.yaml with a defined priority, and present outputs including job log references.
  • Use Case: You submitted a SLURM job that trains a model and logs to WandB; this skill helps you quickly jump to the run and its config to verify results.

Quick Start

Provide a SLURM job ID to retrieve the WandB run URL, local wandb directory, and full configuration.

Frequently Asked Questions about find-wandb

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

FAQPage Schema
How do I find the WandB run URL for a specific SLURM job ID?▼

You can locate the WandB run URL by providing a SLURM job ID to extract data from logs and metadata. This traces the specific job directly to its experiment tracking URL and local directory for quick inspection.

How do I retrieve WandB configuration from SLURM job logs?▼

You retrieve WandB configuration by following a defined extraction priority: first checking wandb-metadata.json, then extracting log-derived arguments, and finally reading config.yaml. This ensures accurate config retrieval for HPC experiment workflows.

What is the best way to trace SLURM HPC experiment runs to their WandB metadata?▼

Tracing SLURM HPC experiment runs to WandB metadata involves using a job ID to locate the local wandb directory and run URL. This reduces manual digging and improves traceability across large scale computing workflows.

Can I locate the local wandb directory associated with a SLURM job?▼

Yes, you can locate the local wandb directory associated with a SLURM job by querying the job ID. The system identifies the exact local storage path, allowing you to quickly inspect run files and verify experiment results.

Where does WandB experiment tracking look for configuration data when parsing SLURM jobs?▼

WandB experiment tracking looks for configuration data by prioritizing wandb-metadata.json, followed by log-derived arguments, and then config.yaml. This structured priority ensures the most reliable config details are extracted first from SLURM jobs.

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