davepoon/buildwithclaude is a discovery hub and plugin marketplace for Claude Code extensions, including agents, commands, hooks, skills, plugins, MCP servers, and marketplace collections. Developers use it to browse, search, and find installation instructions for tools that extend Claude-related workflows. Catalogue entries include agents, plugins, commands, and skills from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/davepoon/buildwithclaudeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/davepoon/buildwithclaude/add-performance-monitoring)<a href="https://agentmods.dev/commands/davepoon/buildwithclaude/add-performance-monitoring"><img src="https://agentmods.dev/badge/commands/davepoon/buildwithclaude/add-performance-monitoring/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/davepoon/buildwithclaude/add-performance-monitoring"><img src="https://agentmods.dev/badge/commands/davepoon/buildwithclaude/add-performance-monitoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00004 | $0.07623 |
| Opus 5 | $0.00002 | $0.03811 |
| Sonnet 5 | $0.00001 | $0.01525 |
| Haiku 4.5 | $0.00000 | $0.00762 |
Grade A, and why
add-performance-monitoring scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 1,173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Add Performance Monitoring
Setup application performance monitoring
Instructions
-
Performance Monitoring Strategy
- Define key performance indicators (KPIs) and service level objectives (SLOs)
- Identify critical user journeys and performance bottlenecks
- Plan monitoring architecture and data collection strategy
- Assess existing monitoring infrastructure and integration points
- Define alerting thresholds and escalation procedures
-
Application Performance Monitoring (APM)
- Set up comprehensive APM monitoring:
Node.js APM with New Relic:
// newrelic.js exports.config = { app_name: [process.env.NEW_RELIC_APP_NAME || 'My Application'], license_key: process.env.NEW_RELIC_LICENSE_KEY, distributed_tracing: { enabled: true }, transaction_tracer: { enabled: true, transaction_threshold: 0.5, // 500ms record_sql: 'obfuscated', explain_threshold: 1000 // 1 second }, error_collector: { enabled: true, ignore_status_codes: [404, 401] }, browser_monitoring: { enable: true }, application_logging: { forwarding: { enabled: true } } }; // app.js require('newrelic'); const express = require('express'); const app = express(); // Custom metrics const newrelic = require('newrelic'); app.use((req, res, next) => { const startTime = Date.now(); res.on('finish', () => { const duration = Date.now() - startTime; // Record custom metrics newrelic.recordMetric('Custom/ResponseTime', duration); newrelic.recordMetric(`Custom/Endpoint/${req.path}`, duration); // Add custom attributes newrelic.addCustomAttributes({ 'user.id': req.user?.id, 'request.method': req.method, 'response.statusCode': res.statusCode }); }); next(); });Datadog APM Integration:
// datadog-tracer.js const tracer = require('dd-trace').init({ service: 'my-application', env: process.env.NODE_ENV, version: process.env.APP_VERSION, logInjection: true, runtimeMetrics: true, profiling: true, analytics: true }); // Custom instrumentation class PerformanceTracker { static startSpan(operationName, options = {}) { return tracer.startSpan(operationName, { tags: { 'service.name': 'my-application', ...options.tags }, ...options }); } static async traceAsync(operationName, asyncFn, tags = {}) { const span = this.startSpan(operationName, { tags }); try { const result = await asyncFn(span); span.setTag('operation.success', true); return result; } catch (error) { span.setTag('operation.success', false); span.setTag('error.message', error.message); span.setTag('error.stack', error.stack); throw error; } finally { span.finish(); } } static trackDatabaseQuery(query, duration, success) { tracer.startSpan('database.query', { tags: { 'db.statement': query, 'db.duration': duration, 'db.success': success } }).finish(); } } // Usage example app.get('/api/users/:id', async (req, res) => { await PerformanceTracker.traceAsync('get_user', async (span) => { span.setTag('user.id', req.params.id); const user = await getUserFromDatabase(req.params.id); span.setTag('user.found', !!user); res.json(user); }, { endpoint: '/api/users/:id' }); });
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 1,173 lines · 4 tokens per session scan A 68f7be874006
add-performance-monitoring is a command published in the GitHub repository davepoon/buildwithclaude (3,439 stars, last pushed 3d ago), licensed MIT. It adds 4 tokens to every session and 7,623 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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