skills.rest
Ethansuttor
EthansuttorCOMMUNITY
Explore all skills by this author →
GitHub

agent-benchmark-suite

Automate performance benchmarking for agent-based swarms with regression detection.

Updated Apr 1, 2026
Search Tags:#automation#performance#agent#swarm#regression#benchmark
One-click install
npx skills add https://github.com/Ethansuttor/QUANTIFIED --skill agent-benchmark-suite
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-benchmark-suite
Source: https://github.com/Ethansuttor/QUANTIFIED/tree/main/.gemini/skills/ruflo/.agents/skills/agent-benchmark-suite
Command: npx skills add https://github.com/Ethansuttor/QUANTIFIED --skill agent-benchmark-suite

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates performance benchmarking for agent-based swarms, producing actionable insights to guide optimization and capacity planning.

Core Features & Use Cases

  • Comprehensive benchmarking framework covering throughput, latency, scalability, and resource usage.
  • Automated regression detection with baseline comparisons and detailed analytics.
  • CI/CD and MCP integration hooks enabling continuous performance validation and release gates.

Quick Start

Run the comprehensive benchmark suite against the target swarm using default settings.

Frequently Asked Questions about agent-benchmark-suite

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

FAQPage Schema
How do I automate performance benchmarking for an agent swarm?▼

Automate agent swarm performance benchmarking by running a comprehensive suite that measures throughput, latency, scalability, and resource usage to produce actionable optimization insights.

How does regression detection work for agent swarm performance?▼

Regression detection works by comparing current agent swarm benchmark results against established baselines, identifying performance drops across throughput, latency, and resource usage metrics.

Can I integrate agent swarm benchmarks into a CI/CD pipeline?▼

Yes, you can integrate agent swarm benchmarks into CI/CD pipelines using dedicated integration hooks to enable continuous performance validation and automated release gating.

What metrics are covered when benchmarking agent swarm scalability?▼

Benchmarking agent swarm scalability covers throughput, latency, scalability limits, and resource usage metrics, providing comprehensive analytics for capacity planning and optimization.

Do I need any external dependencies to run automated benchmark campaigns?▼

No external dependencies are required to run automated benchmark campaigns, as the modular framework operates independently to execute benchmarks, detectors, and baseline comparisons.

What is the best way to detect latency regressions in agent swarms?▼

The best way to detect latency regressions in agent swarms is using automated benchmark detectors that compare current latency measurements against saved performance baselines.

Related Skills

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

regression-check

Re-run pytest suites and compare performance metrics against historical baselines.

Official
Intermediate
aquariuscookaquariuscook

regression-testing

Analyze code changes and prioritize regression test execution in CI/CD pipelines.

Community
Advanced
HabibTorjmenHabibTorjmen

adding-benchmarks

Add performance benchmarks to CI pipelines with .bench.json arrays.

Community
Intermediate
Kingdaddy007Kingdaddy007
2

PERFORMANCE ENGINEERING

Diagnose performance bottlenecks in backend services using profiling and baseline metrics.

Community
Advanced