skills.rest
swarm-ai-research
swarm-ai-researchOFFICIAL
Explore all skills by this author →
Website𝕏@ResearchSwarmAIGitHub

parameter-sweep

Automate parameter grid sweeps across SWARM safety scenarios and generate summary statistics.

39|4|Updated Feb 3, 2026
Search Tags:#simulation#governance#statistics#parameter sweep#SWARM
One-click install
npx skills add https://github.com/swarm-ai-research/swarm --skill parameter-sweep-swarm-ai-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parameter-sweep
Source: https://github.com/swarm-ai-research/swarm/tree/main/bench/skills/parameter-sweep
Command: npx skills add https://github.com/swarm-ai-research/swarm --skill parameter-sweep-swarm-ai-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires swarm-safety, pandas, numpy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of running parameter grid sweeps across SWARM scenarios, simplifying the generation of summary statistics and aiding in the optimization of governance configurations.

Core Features & Use Cases

  • Automated Parameter Sweeps: Run parameter grid sweeps for governance configurations.
  • Data Collection: Collect results across multiple seeds to ensure robustness.
  • Summary Statistics: Generate summary statistics from the sweep results.
  • Use Case: Optimize tax rates or governance structures in SWARM scenarios to balance welfare and toxicity.

Quick Start

Run a parameter sweep on the 'default_scenario.yaml' using the 'parameter-sweep' skill.

Frequently Asked Questions about parameter-sweep

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

FAQPage Schema
How do I automate parameter grid sweeps for SWARM governance scenarios?▼

Automating parameter grid sweeps in SWARM scenarios involves running governance configurations across multiple seeds to systematically explore parameter space. The Skill executes sweeps and collects results to ensure statistical robustness.

What is the best way to optimize tax rates and governance structures in multi-agent systems?▼

Optimizing tax rates and governance structures requires running parameter sweeps to balance welfare and toxicity in SWARM scenarios. This Skill generates summary statistics from sweep results to help tune multi-agent risk assessment configurations.

Do I need pandas and numpy to run simulation sweeps in SWARM?▼

Yes, pandas and numpy are required to run simulation sweeps in SWARM. These dependencies handle simulation run data processing and summary statistics generation from the sweep results.

Can I use parameter sweep configurations for multi-agent systems risk assessment?▼

Yes, parameter sweep configurations can be used for multi-agent systems risk assessment. The Skill applies sweeps to SWARM safety scenarios to systematically explore governance parameters for risk evaluation.

How do I generate summary statistics from parameter sweep results across multiple seeds?▼

Generate summary statistics from parameter sweep results by running configurations across multiple seeds in SWARM scenarios. The Skill collects data from each run and processes results to produce robust statistical summaries.

What limitations should I consider when tuning governance parameters in SWARM?▼

When tuning governance parameters in SWARM, consider that parameter sweeps require multiple seeds for robustness and depend on pandas and numpy for data processing. Sweeps focus on safety scenarios and may not cover all multi-agent configurations.

Related Skills

Explore More Software Engineering Skills→
swarm-ai-safetyswarm-ai-safety
39

parameter-sweep

Execute parameter grid sweeps across SWARM simulations to measure emergent risk metrics.

Official
Intermediate
swarm-ai-safetyswarm-ai-safety
39

plotting

Generate publication-quality plots from SWARM simulation sweep and time-series data.

Official
Intermediate
swarm-ai-researchswarm-ai-research
39

run-scenario

Execute predefined SWARM simulation scenarios and export standardized results.

Official
Intermediate
raja21068raja21068
2

dse-loop

Run an autonomous design space exploration loop to optimize program parameters.

Community
Advanced