Agent Performance Benchmarker
Agent skill for performance-benchmarker - invoke with $agent-performance-benchmarker
- Skill ID
- ruvnet/ruflo/agent-performance-benchmarker
- Publisher
- ruvnet
- Repository
- ruflo
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
ruvnet/ruflo/agent-performance-benchmarkerInstalls these files- SKILL.md
What this skill tells the agent
name: performance-benchmarker type: analyst color: "#607D8B" description: Implements comprehensive performance benchmarking for distributed consensus protocols capabilities:
- throughput_measurement
- latency_analysis
- resource_monitoring
- comparative_analysis
- adaptive_tuning
priority: medium hooks: pre: | echo "📊 Performance Benchmarker analyzing: $TASK"
# Initialize monitoring systems if [[ "$TASK" == "benchmark" ]]; then echo "⚡ Starting performance metric collection" fi post: | echo "📈 Performance analysis complete"
# Generate performance report echo "📋 Compiling benchmarking results and recommendations" ---
Performance Benchmarker
Implements comprehensive performance benchmarking and optimization analysis for distributed consensus protocols.
Core Responsibilities
- Protocol Benchmarking: Measure throughput, latency, and scalability across consensus algorithms
- Resource Monitoring: Track CPU, memory, network, and storage utilization patterns
- Comparative Analysis: Compare Byzantine, Raft, and Gossip protocol performance
- Adaptive Tuning: Implement real-time parameter optimization and load balancing
- Performance Reporting: Generate actionable insights and optimization recommendations
Technical Implementation
Core Benchmarking Framework
class ConsensusPerformanceBenchmarker {
constructor() {
this.benchmarkSuites = new Map();
this.performanceMetrics = new Map();
this.historicalData = new TimeSeriesDatabase();
this.currentBenchmarks = new Set();
this.adaptiveOptimizer = new AdaptiveOptimizer();
this.alertSystem = new PerformanceAlertSystem();
}
// Register benchmark suite for specific consensus protocol
registerBenchmarkSuite(protocolName, benchmarkConfig) {
const suite = new BenchmarkSuite(protocolName, benchmarkConfig);
this.benchmarkSuites.set(protocolName, suite);
return suite;
}
// Execute comprehensive performance benchmarks
async runComprehensiveBenchmarks(protocols, scenarios) {
const results = new Map();
for (const protocol of protocols) {
const protocolResults = new Map();
for (const scenario of scenarios) {
console.log(`Running ${scenario.name} benchmark for ${protocol}`);
const benchmarkResult = await this.executeBenchmarkScenario(
protocol, scenario
);
protocolResults.set(scenario.name, benchmarkResult);
// Store in historical database
await this.historicalData.store({
protocol: protocol,
scenario: scenario.name,
timestamp: Date.now(),
metrics: benchmarkResult
});
}
results.set(protocol, protocolResults);
}
// Generate comparative analysis
const analysis = await this.generateComparativeAnalysis(results);
// Trigger adaptive optimizations
await this.adaptiveOptimizer.optimizeBasedOnResults(results);
return {
benchmarkResults: results,
comparativeAnalysis: analysis,
recommendations: await this.generateOptimizationRecommendations(results)
};
}
async executeBenchmarkScenario(protocol, scenario) {
const benchmark = this.benchmarkSuites.get(protocol);
if (!benchmark) {
throw new Error(`No benchmark suite found for protocol: ${protocol}`);
}
// Initialize benchmark environment
const environment = await this.setupBenchmarkEnvironment(scenario);
try {
// Pre-benchmark setup
await benchmark.setup(environment);
// Execute benchmark phases
const results = {
throughput: await this.measureThroughput(benchmark, scenario),
latency: await this.measureLatency(benchmark, scenario),
resourceUsage: await this.measureResourceUsage(benchmark, scenario),
scalability: await this.measureScalability(benchmark, scenario),
faultTolerance: await this.measureFaultTolerance(benchmark, scenario)
};
// Post-benchmark analysis
results.analysis = await this.analyzeBenchmarkResults(results);
return results;
} finally {
// Cleanup benchmark environment
await this.cleanupBenchmarkEnvironment(environment);
}
}
}Throughput Measurement System
class ThroughputBenchmark {
constructor(protocol, configuration) {
this.protocol = protocol;
this.config = configuration;
this.metrics = new MetricsCollector();
this.loadGenerator = new LoadGenerator();
}
async measureThroughput(scenario) {
const measurements = [];
const duration = scenario.duration || 60000; // 1 minute default
const startTime = Date.now();
// Initialize load generator
await this.loadGenerator.initialize({
requestRate: scenario.initialRate || 10,
rampUp: scenario.rampUp || false,
pattern: scenario.pattern || 'constant'
});
// Start metrics collection
this.metrics.startCollection(['transactions_per_second', 'success_rate']);
let currentRate = scenario.initialRate || 10;
const rateIncrement = scenario.rateIncrement || 5;
const measurementInterval = 5000; // 5 seconds
while (Date.now() - startTime < duration) {
const intervalStart = Date.now();
// Generate load for this interval
const transactions = await this.generateTransactionLoad(
currentRate, measurementInterval
);
// Measure throughput for this interval
const intervalMetrics = await this.measureIntervalThroughput(
transactions, measurementInterval
);
measurements.push({
timestamp: intervalStart,
requestRate: currentRate,
actualThroughput: intervalMetrics.throughput,
successRate: intervalMetrics.successRate,
averageLatency: intervalMetrics.averageLatency,
p95Latency: intervalMetrics.p95Latency,
p99Latency: intervalMetrics.p99Latency
});
// Adaptive rate adjustment
if (scenario.rampUp && intervalMetrics.successRate > 0.95) {
currentRate += rateIncrement;
} else if (intervalMetrics.successRate < 0.8) {
currentRate = Math.max(1, currentRate - rateIncrement);
}
// Wait for next interval
const elapsed = Date.now() - intervalStart;
if (elapsed < measurementInterval) {
await this.sleep(measurementInterval - elapsed);
}
}
// Stop metrics collection
this.metrics.stopCollection();
// Analyze throughput results
return this.analyzeThroughputMeasurements(measurements);
}
async generateTransactionLoad(rate, duration) {
const transactions = [];
const interval = 1000 / rate; // Interval between transactions in ms
const endTime = Date.now() + duration;
while (Date.now() < endTime) {
const transactionStart = Date.now();
const transaction = {
id: `tx_${Date.now()}_${Math.random()}`,
type: this.getRandomTransactionType(),
data: this.generateTransactionData(),
timestamp: transactionStart
};
// Submit transaction to consensus protocol
const promise = this.protocol.submitTransaction(transaction)
.then(result => ({
...transaction,
result: result,
latency: Date.now() - transactionStart,
success: result.committed === true
}))
.catch(error => ({
...transaction,
error: error,
latency: Date.now() - transactionStart,
success: false
}));
transactions.push(promise);
// Wait for next transaction interval
await this.sleep(interval);
}
// Wait for all transactions to complete
return await Promise.all(transactions);
}
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