Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jnPiyush/AgentXnpx agentmods add skills/jnpiyush/agentx/performanceWrote 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/jnpiyush/agentx/performance)<a href="https://agentmods.dev/skills/jnpiyush/agentx/performance"><img src="https://agentmods.dev/badge/skills/jnpiyush/agentx/performance/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/skills/jnpiyush/agentx/performance"><img src="https://agentmods.dev/badge/skills/jnpiyush/agentx/performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00050 | $0.02271 |
| Opus 5.5 | $0.00020 | $0.00908 |
| Sonnet 5.5 | $0.00010 | $0.00454 |
| Haiku 4.5 | $0.00005 | $0.00227 |
Grade A, and why
performance 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 1mo 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 — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance & Scalability
Purpose: Optimize application speed, throughput, resource usage, and scaling for production loads. Strategy: Profile first, optimize bottlenecks, measure impact, scale horizontally. Note: For language-specific implementations, see C# Development or Python Development.
When to Use This Skill
- Diagnosing slow application endpoints
- Implementing caching strategies
- Profiling CPU or memory bottlenecks
- Optimizing database query performance
- Setting up performance monitoring and alerting
- Planning system capacity and scaling strategy
- Implementing load balancing or auto-scaling
- Adding message queues for async processing
- Designing stateless microservices
- Configuring database read replicas or sharding
Prerequisites
- Application running in a profiling-capable environment
- Access to monitoring tools
Decision Tree
Performance concern?
+- Not yet measured? -> Profile FIRST (don't guess)
| +- .NET -> dotnet-trace / BenchmarkDotNet
| +- Python -> cProfile / py-spy
| - Node.js -> clinic.js / --prof
+- Slow API response?
| +- Database query? -> EXPLAIN ANALYZE -> add index
| +- External service? -> Add caching + async calls
| - Computation? -> Optimize algorithm or add memoization
+- High memory usage?
| +- Large collections? -> Stream/paginate instead of loading all
| - Memory leaks? -> Profile allocations, check dispose patterns
+- Concurrency bottleneck?
| +- I/O bound? -> async/await (don't block threads)
| - CPU bound? -> Parallel processing / background workers
- Quick wins? -> See Quick Wins table below
Quick Wins
| Optimization | Impact | Effort |
|---|---|---|
| Enable Response Compression | 70-90% size reduction | Low |
| Add Database Indexes | 10-100x query speed | Low |
| Implement Caching | 50-99% latency reduction | Medium |
| Use Async I/O | 5-10x throughput | Medium |
| Fix N+1 Queries | 10-1000x DB performance | Medium |
What ships with it
3 files 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.
- 1mo ago Changed a64c8a326460
- 1mo ago First seen · 308 lines · 50 tokens per session scan A 7f68a7413a49
performance is a skill published in the GitHub repository jnPiyush/AgentX (16 stars, last pushed 3d ago), licensed Apache-2.0. It adds 50 tokens to every session and 2,271 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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