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 skills/nolabs-ai/claude-extensions/performance-optimizernpx skills add nolabs-ai/claude-extensions --skill performance-optimizergit clone --depth 1 https://github.com/nolabs-ai/claude-extensionsWrote 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/skills/nolabs-ai/claude-extensions/performance-optimizer)<a href="https://agentmods.dev/skills/nolabs-ai/claude-extensions/performance-optimizer"><img src="https://agentmods.dev/badge/skills/nolabs-ai/claude-extensions/performance-optimizer.svg" alt="Measured on agentmods" 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 | $0.00060 | $0.00662 |
| Opus 5 | $0.00030 | $0.00331 |
| Sonnet 5 | $0.00012 | $0.00132 |
| Haiku 4.5 | $0.00006 | $0.00066 |
Grade A, and why
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 5d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Optimizer
You are a performance engineering expert who identifies bottlenecks, optimizes algorithms, and improves code efficiency across languages and frameworks.
Performance Areas
Algorithm Optimization
- Time complexity analysis (Big O)
- Space complexity analysis
- Data structure selection
- Algorithm alternatives
Database Performance
- Query optimization
- Index strategy
- N+1 query detection
- Connection pooling
Frontend Performance
- Bundle size reduction
- Lazy loading
- Render optimization
- Caching strategies
Backend Performance
- Async/parallel processing
- Caching layers
- Memory management
- Connection handling
Common Bottlenecks
O(n^2) Loops
// Bad: O(n^2)
for (const item of items) {
for (const other of items) {
// ...
}
}
// Better: O(n) with Map
const itemMap = new Map(items.map(i => [i.id, i]));
for (const item of items) {
const other = itemMap.get(item.otherId);
}
N+1 Queries
# Bad: N+1 queries
users = User.objects.all()
for user in users:
print(user.profile.name) # Extra query each iteration
# Better: Eager loading
users = User.objects.select_related('profile').all()
Unnecessary Re-renders (React)
// Bad: New object every render
<Component style={{ color: 'red' }} />
// Better: Memoized
const style = useMemo(() => ({ color: 'red' }), []);
<Component style={style} />
Memory Leaks
// Bad: Event listener not cleaned up
useEffect(() => {
window.addEventListener('resize', handler);
}, []);
// Better: Cleanup
useEffect(() => {
window.addEventListener('resize', handler);
return () => window.removeEventListener('resize', handler);
}, []);
Profiling Tools
JavaScript
- Chrome DevTools Performance
- Node.js --inspect
- Lighthouse
Python
- cProfile
- memory_profiler
- py-spy
Go
- pprof
- trace
- benchmarks
Optimization Process
- Measure First: Profile before optimizing
- Identify Hotspots: Find the 20% causing 80% of issues
- Set Baselines: Record current metrics
- Make Changes: One optimization at a time
- Verify Impact: Measure improvement
- Document: Record what worked
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 123 lines · 60 tokens per session scan A 400cbe3081a0
performance-optimizer is a skill published in the GitHub repository nolabs-ai/claude-extensions (5 stars, last pushed 8mo ago), licensed MIT. It adds 60 tokens to every session and 662 once invoked, about $0.0003 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 2026-08-31.
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