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/madebyaris/rakitui-ai/performance-optimizationgit clone --depth 1 https://github.com/madebyaris/rakitui-aiWhat 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 | $0.00348 |
| Opus 5 | $0.00000 | $0.00174 |
| Sonnet 5 | $0.00000 | $0.00070 |
| Haiku 4.5 | $0.00000 | $0.00035 |
Grade A, and why
performance-optimization 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.
What it actually says
Performance Optimization
Guidelines for optimizing the performance of the design selection tool.
Current Performance Bottlenecks
- Server Startup Time: Creating new HTTP server for each session
- Polling Overhead: 500ms polling creates unnecessary load
- HTML Generation: Template string concatenation can be slow
- File I/O: Writing temporary files for each session
Optimization Strategies
Server Optimization
- Implement server pooling to reuse servers
- Use worker threads for parallel processing
- Cache static resources
- Implement connection pooling
Template Optimization
In src/tools/templates/designSelection.ts:
- Use template engines for better performance
- Implement HTML streaming
- Lazy load design previews
- Compress HTML output
Resource Management
In src/tools/utils/serverUtils.ts:
- Implement proper cleanup timers
- Use memory-efficient data structures
- Limit concurrent sessions
- Add resource monitoring
Client-Side Optimization
- Implement virtual scrolling for many designs
- Use intersection observer for lazy loading
- Optimize CSS animations
- Minimize JavaScript bundle size
Performance Metrics
Track these metrics:
- Server startup time
- Time to first design display
- Selection response time
- Memory usage per session
- Concurrent session capacity
Caching Strategy
- Cache generated HTML templates
- Cache design previews
- Implement ETag support
- Use browser caching effectively
Monitoring
- Add performance logging
- Implement APM integration
- Set up performance alerts
- Regular performance audits
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 · 71 lines · 0 tokens per session scan A 6e0cc5e2d0c3
performance-optimization is a cursor rule published in the GitHub repository madebyaris/rakitui-ai (5 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 348 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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