finding-lobbench-results

Locate existing LOBbench results across pipeline directories for a given checkpoint, job, run, or experiment.

1|Updated Apr 23, 2026
One-click install
npx skills add https://github.com/KangOxford/auto-quant-research --skill finding-lobbench-results
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: finding-lobbench-results
Source: https://github.com/KangOxford/auto-quant-research/tree/main/execution-layer/skills/finding-lobbench-results
Command: npx skills add https://github.com/KangOxford/auto-quant-research --skill finding-lobbench-results

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

LOBbench results for a given checkpoint, SLURM job, wandb run, or experiment are often already available in pipeline directories. Re-running benches wastes GPU hours and time. This Skill helps you locate existing results quickly to avoid unnecessary computations.

Core Features & Use Cases

  • Search-first discipline: Always check agent_outputs, kangli lob_pipeline, and aramis pipelines for existing results.
  • Quick verification: Identifies matching checkpoints, wandb runs, or experiments and returns exact paths and metrics.
  • Use case: Before launching a new LOBbench, run this Skill to confirm whether a prior bench already produced comparable results.

Quick Start

Provide a target identifier (checkpoint, SLURM job, wandb run, or experiment) to locate existing LOBbench results.

Frequently Asked Questions about finding-lobbench-results

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

FAQPage Schema
How do I find existing LOBbench results for a checkpoint before running a new experiment?

To avoid wasting GPU hours on re-benching, you should search existing pipeline directories first. This Skill checks agent_outputs, kangli lob_pipeline, and aramis lob_pipeline to locate prior results for your checkpoint or experiment.

Can I search for LOBbench results using a SLURM job ID or wandb run?

Yes, you can locate LOBbench results using a SLURM job ID or wandb run. The Skill accepts these identifiers to apply a strict search sequence across pipeline directories and retrieve the relevant horizon and metrics from matching output files.

What directories does the LOBbench results search sequence check?

The LOBbench search sequence checks agent_outputs, kangli lob_pipeline, and aramis lob_pipeline directories. It scans these specific locations to identify matching results for your provided checkpoint, SLURM job, or experiment identifier.

What information is included in the LOBbench results report?

The LOBbench results report includes the exact file location of any matching results alongside the relevant horizon and metrics extracted from agent outputs or summary files. If no prior results exist, it indicates that no results were found.

Why should I check for existing LOBbench results before launching a new bench?

Checking for existing LOBbench results prevents unnecessary computations and saves GPU hours. Prior bench runs for the same checkpoint or experiment are often already available in pipeline directories and can be reused instead of re-running the bench.