Does it support parallel benchmark execution?

The agent can be configured to run benchmarks either sequentially to avoid interference or in parallel to simulate high-concurrency environments.

What metrics does the Benchmark Suite Agent track?

The agent tracks core performance metrics including throughput, latency, scalability, resource usage, and specialized coordination metrics for swarm-based systems.

Can this skill help with stress testing?

Yes, it features a dedicated StressTestSuite that gradually increases system load to identify exact breaking points and performance degradation curves.

How does it identify performance regressions?

It uses a multi-layered approach involving statistical change point analysis (CUSUM), machine learning anomaly detection, and threshold-based monitoring.

Can I integrate this with my existing SLAs?

Absolutely. The Performance Validation Framework allows you to define specific SLA criteria that the agent will validate against during every test run.

Benchmark Suite Agent

Name: Benchmark Suite Agent
Author: nbossn

bynbossn

0•

Analytics & Monitoring

Executes comprehensive performance benchmarking, automated stress testing, and statistical regression detection to ensure software efficiency.

The Benchmark Suite Agent is a sophisticated performance optimization tool that automates the measurement and validation of system metrics. It provides a robust framework for measuring throughput, latency, and resource utilization while utilizing advanced statistical methods like CUSUM and machine learning models to detect subtle performance regressions. By orchestrating complex test campaigns—including load, stress, and spike testing—this agent helps developers identify system breaking points, validate SLAs, and ensure that new code deployments do not negatively impact the user experience. It is an essential tool for maintaining high-performance standards in distributed systems and AI agent swarms.

Key Features

01Automated test campaign orchestration for load, stress, and spike testing

02Automated performance reporting and optimization recommendations

03ML-based and statistical regression detection using CUSUM algorithms

040 GitHub stars

05Comprehensive benchmarking for throughput, latency, scalability, and resource usage

06Advanced performance validation against SLAs and efficiency criteria

Use Cases

01Determining system breaking points through automated stress and volume testing

02Identifying performance bottlenecks and regressions during the CI/CD pipeline

03Validating the scalability and coordination efficiency of distributed agent topologies

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nbossn/claude-code-base agent-benchmark-suite

For use in Claude.ai and ChatGPT

Key Features

01Automated test campaign orchestration for load, stress, and spike testing

02Automated performance reporting and optimization recommendations

03ML-based and statistical regression detection using CUSUM algorithms

040 GitHub stars

05Comprehensive benchmarking for throughput, latency, scalability, and resource usage

06Advanced performance validation against SLAs and efficiency criteria

Use Cases

01Determining system breaking points through automated stress and volume testing

02Identifying performance bottlenecks and regressions during the CI/CD pipeline

03Validating the scalability and coordination efficiency of distributed agent topologies