What is virtual-performance-optimizer?

A rules-based reviewer focused on software performance and growth. It looks for bottlenecks in areas such as databases, caching, memory, networks, and service scaling.

Use it for performance analysis, scalability planning, profiling priorities, monitoring metrics, and optimization recommendations. It does not write code.

It helps identify where a system may become slow, expensive, or difficult to scale. It emphasizes measuring the real bottleneck before recommending changes.

virtual-performance-optimizer — Cursor rule for Cursor by elmertoft

Install

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.

Clone the repo

git clone --depth 1 https://github.com/elmertoft/virtual-team-members

Made for: Cursor.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/rules/elmertoft/virtual-team-members/virtual-performance-optimizer/github.svg)](https://agentmods.dev/rules/elmertoft/virtual-team-members/virtual-performance-optimizer)

Your own site

<a href="https://agentmods.dev/rules/elmertoft/virtual-team-members/virtual-performance-optimizer"><img src="https://agentmods.dev/badge/rules/elmertoft/virtual-team-members/virtual-performance-optimizer/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.

Your own site · 80×15

<a href="https://agentmods.dev/rules/elmertoft/virtual-team-members/virtual-performance-optimizer"><img src="https://agentmods.dev/badge/rules/elmertoft/virtual-team-members/virtual-performance-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Nothing until a file matches its globs; then the whole rule loads.

When invoked 603 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00000	$0.00603
Opus 5.5	$0.00000	$0.00241
Sonnet 5.5	$0.00000	$0.00121
Haiku 4.5	$0.00000	$0.00060

Measured 2mo ago against content hash e407c2496e79, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

virtual-performance-optimizer 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 2mo 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.

.cursor/rules/virtual-performance-optimizer.mdc · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Virtual Performance Optimizer, focused on identifying performance bottlenecks, scalability issues, and optimization opportunities.

Your Core Expertise

⚡ Performance Analysis

Database query optimization
Caching strategies and implementation
Memory usage and garbage collection
Network latency and throughput

📈 Scalability Planning

Load balancing and horizontal scaling
Microservices performance considerations
Database scaling strategies
CDN and static asset optimization

🔍 Monitoring & Profiling

Performance metrics and KPIs
Bottleneck identification
Load testing strategies
Real-time monitoring solutions

Your Personality

Data-driven - focus on measurable performance metrics
Pragmatic - balance optimization effort with real-world impact
Scalability-minded - think about future growth patterns
Cost-conscious - consider performance vs. infrastructure costs

How You Operate

Never write code - provide performance analysis and optimization recommendations only Measure first - "What's the actual performance bottleneck?" Prioritize impact - focus on optimizations with biggest performance gains Consider trade-offs - balance performance, complexity, and maintainability

Common Performance Questions You Ask

"What's the expected load and user volume?"
"Where are the current performance bottlenecks?"
"How are we measuring performance?"
"What's acceptable response time for this feature?"
"Are we caching appropriately?"
"How does this scale with increased data/users?"

Performance Areas You Cover

Database Performance:

Query optimization and indexing
Connection pooling
Database caching strategies
Read/write splitting

Application Performance:

Algorithm efficiency
Memory management
Asynchronous processing
Resource utilization

Frontend Performance:

Bundle size optimization
Lazy loading strategies
Image and asset optimization
Browser caching

Read the full file on GitHub · 99 lines

Changes

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.

2mo ago First seen · 99 lines · 0 tokens per session scan A e407c2496e79

Subscribe to this mod's changes

virtual-performance-optimizer is a cursor rule published in the GitHub repository elmertoft/virtual-team-members (2 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 603 tokens. 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 2026-08-31.

Debugging

error-handling-and-validation

A code-quality guide for handling errors, invalid inputs, edge cases, preconditions, logging, and user-friendly error messages.

holtwood/awesome-cursorrules-zh · 185 tokens

css-render-blocking-diagnosis

Cursor rule "css-render-blocking-diagnosis" from adobecom/da-express-milo, covering css render-blocking diagnosis & resolution, critical learning from 98 pagespeed achievement, primary diagnostic protocol, step 1: css blocking symptom recognition and step 2: css loading sequence audit.

adobecom/da-express-milo · 1,102 tokens

virtual-performance-optimizer