/metrics
System metrics, telemetry, and performance monitoring
$ npx -y skills add alsk1992/CloddsBot --skill metrics --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition โ
- You can call itInvoke it directly when you want it.
- Slash command
/metrics
Context preview
The summary Claude sees to decide when to auto-load this skill.
System metrics, telemetry, and performance monitoring
SKILL.md
metrics.SKILL.mdname: metrics
description: "System metrics, telemetry, and performance monitoring"
emoji: "๐"
Metrics - Complete API Reference
Monitor system health, track performance metrics, and analyze telemetry data.
---
Chat Commands
System Metrics
/metrics Show current metrics
/metrics system CPU, memory, latency
/metrics api API performance stats
/metrics ws WebSocket health
Trading Metrics
/metrics trades Trade execution stats
/metrics fills Fill rate metrics
/metrics latency Order latency stats
/metrics errors Error rates
Custom Metrics
/metrics track <name> <value> Track custom metric
/metrics query <name> Query metric history
/metrics alert <name> > 100 Set metric alert
Export & Reports
/metrics export csv Export to CSV
/metrics report daily Generate daily report
/metrics dashboard Open metrics dashboard
---
TypeScript API Reference
Create Metrics Service
import { createMetricsService } from 'clodds/metrics';
const metrics = createMetricsService({
// Collection
collectInterval: 5000, // ms
retention: '30d',
// Storage
storage: 'sqlite',
dbPath: './metrics.db',
// Export
enablePrometheus: true,
prometheusPort: 9090,
});
// Start collection
await metrics.start();System Metrics
const system = await metrics.getSystemMetrics();
console.log('=== System Health ===');
console.log(`CPU Usage: ${system.cpuUsage}%`);
console.log(`Memory: ${system.memoryUsed}MB / ${system.memoryTotal}MB`);
console.log(`Uptime: ${system.uptimeHours}h`);
console.log(`Active connections: ${system.activeConnections}`);
console.log(`Event loop lag: ${system.eventLoopLag}ms`);API Metrics
const api = await metrics.getApiMetrics();
console.log('=== API Performance ===');
console.log(`Total requests: ${api.totalRequests}`);
console.log(`Requests/sec: ${api.requestsPerSecond}`);
console.log(`Avg latency: ${api.avgLatency}ms`);
console.log(`P50 latency: ${api.p50Latency}ms`);
console.log(`P95 latency: ${api.p95Latency}ms`);
console.log(`P99 latency: ${api.p99Latency}ms`);
console.log(`Error rate: ${api.errorRate}%`);
console.log('\nBy Endpoint:');
for (const endpoint of api.byEndpoint) {
console.log(` ${endpoint.path}: ${endpoint.avgLatency}ms (${endpoint.calls} calls)`);
}WebSocket Metrics
const ws = await metrics.getWebSocketMetrics();
console.log('=== WebSocket Health ===');
console.log(`Active connections: ${ws.activeConnections}`);
console.log(`Messages/sec: ${ws.messagesPerSecond}`);
console.log(`Avg message size: ${ws.avgMessageSize} bytes`);
console.log(`Reconnections: ${ws.reconnections}`);
console.log(`Dropped messages: ${ws.droppedMessages}`);
console.log('\nBy Feed:');
for (const feed of ws.byFeed) {
console.log(` ${feed.name}: ${feed.messagesPerSecond}/s, ${feed.latency}ms lag`);
}Trade Execution Metrics
const trades = await metrics.getTradeMetrics();
console.log('=== Trade Execution ===');
console.log(`Total orders: ${trades.totalOrders}`);
console.log(`Fill rate: ${trades.fillRate}%`);
console.log(`Partial fills: ${trades.partialFillRate}%`);
console.log(`Rejections: ${trades.rejectionRate}%`);
console.log(`Avg fill time: ${trades.avgFillTime}ms`);
console.log(`Avg slippage: ${trades.avgSlippage}%`);
console.log('\nBy Platform:');
for (const platform of trades.byPlatform) {
console.log(` ${platform.name}:`);
console.log(` Fill rate: ${platform.fillRate}%`);
console.log(` Avg latency: ${platform.avgLatency}ms`);
}Latency Breakdown
const latency = await metrics.getLatencyBreakdown();
console.log('=== Latency Breakdown ===');
console.log(`Total order latency: ${latency.total}ms`);
console.log(` Signal processing: ${latency.signalProcessing}ms`);
console.log(` Order construction: ${latency.orderConstruction}ms`);
console.log(` Network round-trip: ${latency.networkRoundTrip}ms`);
console.log(` Exchange processing: ${latency.exchangeProcessing}ms`);
console.log(` Confirmation: ${latency.confirmation}ms`);Error Metrics
const errors = await metrics.getErrorMetrics();
console.log('=== Error Rates ===');
console.log(`Total errors: ${errors.totalErrors}`);
console.log(`Error rate: ${errors.errorRate}%`);
console.log(`Errors/hour: ${errors.errorsPerHour}`);
console.log('\nBy Type:');
for (const type of errors.byType) {
console.log(` ${type.name}: ${type.count} (${type.percentage}%)`);
}
console.log('\nBy Platform:');
for (const platform of errors.byPlatform) {
console.log(` ${platform.name}: ${platform.errorRate}%`);
}Custom Metrics
// Track custom metric
metrics.track('edge_detected', 1, {
market: 'trump-2028',
edgeSize: 0.05,
});
// Increment counter
metrics.increment('trades_executed');
// Set gauge
metrics.gauge('active_positions', 5);
// Record timing
const timer = metrics.startTimer('order_execution');
// ... execute order ...
timer.end();
// Histogram
metrics.histogram('slippage', 0.003, {
platform: 'polymarket',
});Query Metrics
const query = await metrics.query({
metric: 'edge_detected',
period: '7d',
aggregation: 'sum',
groupBy: 'market',
});
console.log('Edge Detection by Market:');
for (const row of query.results) {
console.log(` ${row.market}: ${row.value} detections`);
}Metric Alerts
// Set alert threshold
metrics.setAlert({
metric: 'error_rate',
condition: '>',
threshold: 5, // > 5% error rate
window: '5m',
action: 'notify',
});
metrics.setAlert({
metric: 'latency_p99',
condition: '>',
threshold: 1000, // >Read more
name: metrics description: "System metrics, telemetry, and performance monitoring" emoji: "๐"
Metrics - Complete API Reference
Monitor system health, track performance metrics, and analyze telemetry data.
---
Chat Commands
System Metrics
/metrics Show current metrics /metrics system CPU, memory, latency /metrics api API performance stats /metrics ws WebSocket health
Trading Metrics
/metrics trades Trade execution stats /metrics fills Fill rate metrics /metrics latency Order latency stats /metrics errors Error rates
Custom Metrics
/metrics track <name> <value> Track custom metric /metrics query <name> Query metric history /metrics alert <name> > 100 Set metric alert
Export & Reports
/metrics export csv Export to CSV /metrics report daily Generate daily report /metrics dashboard Open metrics dashboard
---
TypeScript API Reference
Create Metrics Service
import { createMetricsService } from 'clodds/metrics';
const metrics = createMetricsService({
// Collection
collectInterval: 5000, // ms
retention: '30d',
// Storage
storage: 'sqlite',
dbPath: './metrics.db',
// Export
enablePrometheus: true,
prometheusPort: 9090,
});
// Start collection
await metrics.start();System Metrics
const system = await metrics.getSystemMetrics();
console.log('=== System Health ===');
console.log(`CPU Usage: ${system.cpuUsage}%`);
console.log(`Memory: ${system.memoryUsed}MB / ${system.memoryTotal}MB`);
console.log(`Uptime: ${system.uptimeHours}h`);
console.log(`Active connections: ${system.activeConnections}`);
console.log(`Event loop lag: ${system.eventLoopLag}ms`);API Metrics
const api = await metrics.getApiMetrics();
console.log('=== API Performance ===');
console.log(`Total requests: ${api.totalRequests}`);
console.log(`Requests/sec: ${api.requestsPerSecond}`);
console.log(`Avg latency: ${api.avgLatency}ms`);
console.log(`P50 latency: ${api.p50Latency}ms`);
console.log(`P95 latency: ${api.p95Latency}ms`);
console.log(`P99 latency: ${api.p99Latency}ms`);
console.log(`Error rate: ${api.errorRate}%`);
console.log('\nBy Endpoint:');
for (const endpoint of api.byEndpoint) {
console.log(` ${endpoint.path}: ${endpoint.avgLatency}ms (${endpoint.calls} calls)`);
}WebSocket Metrics
const ws = await metrics.getWebSocketMetrics();
console.log('=== WebSocket Health ===');
console.log(`Active connections: ${ws.activeConnections}`);
console.log(`Messages/sec: ${ws.messagesPerSecond}`);
console.log(`Avg message size: ${ws.avgMessageSize} bytes`);
console.log(`Reconnections: ${ws.reconnections}`);
console.log(`Dropped messages: ${ws.droppedMessages}`);
console.log('\nBy Feed:');
for (const feed of ws.byFeed) {
console.log(` ${feed.name}: ${feed.messagesPerSecond}/s, ${feed.latency}ms lag`);
}Trade Execution Metrics
const trades = await metrics.getTradeMetrics();
console.log('=== Trade Execution ===');
console.log(`Total orders: ${trades.totalOrders}`);
console.log(`Fill rate: ${trades.fillRate}%`);
console.log(`Partial fills: ${trades.partialFillRate}%`);
console.log(`Rejections: ${trades.rejectionRate}%`);
console.log(`Avg fill time: ${trades.avgFillTime}ms`);
console.log(`Avg slippage: ${trades.avgSlippage}%`);
console.log('\nBy Platform:');
for (const platform of trades.byPlatform) {
console.log(` ${platform.name}:`);
console.log(` Fill rate: ${platform.fillRate}%`);
console.log(` Avg latency: ${platform.avgLatency}ms`);
}Latency Breakdown
const latency = await metrics.getLatencyBreakdown();
console.log('=== Latency Breakdown ===');
console.log(`Total order latency: ${latency.total}ms`);
console.log(` Signal processing: ${latency.signalProcessing}ms`);
console.log(` Order construction: ${latency.orderConstruction}ms`);
console.log(` Network round-trip: ${latency.networkRoundTrip}ms`);
console.log(` Exchange processing: ${latency.exchangeProcessing}ms`);
console.log(` Confirmation: ${latency.confirmation}ms`);Error Metrics
const errors = await metrics.getErrorMetrics();
console.log('=== Error Rates ===');
console.log(`Total errors: ${errors.totalErrors}`);
console.log(`Error rate: ${errors.errorRate}%`);
console.log(`Errors/hour: ${errors.errorsPerHour}`);
console.log('\nBy Type:');
for (const type of errors.byType) {
console.log(` ${type.name}: ${type.count} (${type.percentage}%)`);
}
console.log('\nBy Platform:');
for (const platform of errors.byPlatform) {
console.log(` ${platform.name}: ${platform.errorRate}%`);
}Custom Metrics
// Track custom metric
metrics.track('edge_detected', 1, {
market: 'trump-2028',
edgeSize: 0.05,
});
// Increment counter
metrics.increment('trades_executed');
// Set gauge
metrics.gauge('active_positions', 5);
// Record timing
const timer = metrics.startTimer('order_execution');
// ... execute order ...
timer.end();
// Histogram
metrics.histogram('slippage', 0.003, {
platform: 'polymarket',
});Query Metrics
const query = await metrics.query({
metric: 'edge_detected',
period: '7d',
aggregation: 'sum',
groupBy: 'market',
});
console.log('Edge Detection by Market:');
for (const row of query.results) {
console.log(` ${row.market}: ${row.value} detections`);
}Metric Alerts
// Set alert threshold
metrics.setAlert({
metric: 'error_rate',
condition: '>',
threshold: 5, // > 5% error rate
window: '5m',
action: 'notify',
});
metrics.setAlert({
metric: 'latency_p99',
condition: '>',
threshold: 1000, // >Open Source AI trading agent that operates autonomously across 1000+ markets - Polymarket, Kalshi, Binance, Hyperliquid, Solana DEXs, 5 EVM chains. Scans for edge, executes instantly, manages risk while you sleep. Agent commerce protocol for machine-to-machine payments. Self-hosted. Built on Claude.
Repo: alsk1992/CloddsBot
Other skills on cloddsbot.
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Open skill - /alerts
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Open skill - /analytics
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Open skill - /arbitrage
Automated cross-platform arbitrage detection and monitoring
Open skill

