sweep

Run parameter sweeps over computational scripts and generate summary reports.

Updated Jul 3, 2026

Search Tags:#script execution #parameter sweep #experiment logging #stability analysis #computational modeling

Ready to run

npx skills add https://github.com/GiorgioRicciardiello/LabBrain --skill sweep-giorgioricciardiello

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sweep
Source: https://github.com/GiorgioRicciardiello/LabBrain/tree/main/core/.claude/skills/sweep
Command: npx skills add https://github.com/GiorgioRicciardiello/LabBrain --skill sweep-giorgioricciardiello

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of running parameter sweeps on computational scripts, logging each iteration as an experiment, and providing a summary report with best parameters and stability assessment.

Core Features & Use Cases

Autonomous Parameter Sweep: Run a sweep over a computational script, logging each iteration and producing a summary report.
Experiment Logging: Log every iteration as an experiment note.
Stability Analysis: Provide a summary report with best parameters and stability assessment.
Use Case: Suppose you have a script that simulates the behavior of a system under different parameters. Use this Skill to run a parameter sweep and find the most stable set of parameters.

Quick Start

To run a parameter sweep, use the sweep skill with the spec file that defines the parameters and script to be executed.

Frequently Asked Questions about sweep

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

FAQPage Schema

How do I automate parameter sweeps over a computational script?▼

Automating a parameter sweep requires a spec file to define the parameters and the script to execute. The sweep skill runs the computational script across all parameter combinations, logging each iteration as an experiment and generating a summary report.

How does experiment logging work during a parameter sweep?▼

Experiment logging during a parameter sweep records every iteration as an experiment note. This process captures the parameters and results of each execution, ensuring that the computational modeling data is tracked for the final stability analysis and summary report.

Can I run a parameter sweep on Slurm jobs or only locally?▼

Parameter sweeps can be executed via both local runs and Slurm jobs. This flexibility allows the computational script to be processed across different execution environments while maintaining consistent experiment logging and stability analysis reporting.

What is stability analysis in the context of computational parameter sweeps?▼

Stability analysis in computational parameter sweeps evaluates the results of all logged experiment iterations to identify the most stable set of parameters. The generated summary report highlights the best parameters and provides a stability assessment for the modeled system.

Do I need any external dependencies to run a parameter sweep with experiment logging?▼

No external dependencies are required to run a parameter sweep with experiment logging. The skill operates independently to automate script execution, log iterations, and generate stability analysis reports without needing additional packages.

What's the best way to find the most stable parameters for a simulation script?▼

Finding the most stable parameters involves running an automated parameter sweep over the simulation script. The sweep skill logs each execution as an experiment and produces a summary report that assesses stability and identifies the best parameter set.