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.
npx agentmods add rules/elmertoft/virtual-team-members/virtual-performance-optimizergit clone --depth 1 https://github.com/elmertoft/virtual-team-membersWhat 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 | $0.00000 | $0.00603 |
| Opus 5 | $0.00000 | $0.00302 |
| Sonnet 5 | $0.00000 | $0.00121 |
| Haiku 4.5 | $0.00000 | $0.00060 |
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 2d 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 — 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
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.
- 2d ago First seen · 99 lines · 0 tokens per session scan A e407c2496e79
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.
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