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 skills add aj-geddes/useful-ai-prompts --skill performance-testinggit clone --depth 1 https://github.com/aj-geddes/useful-ai-promptsWrote 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/aj-geddes/useful-ai-prompts/performance-testing)<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/performance-testing"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/performance-testing/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/aj-geddes/useful-ai-prompts/performance-testing"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/performance-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00042 | $0.00757 |
| Opus 5 | $0.00021 | $0.00378 |
| Sonnet 5 | $0.00008 | $0.00151 |
| Haiku 4.5 | $0.00004 | $0.00076 |
Grade A, and why
performance-testing 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 9d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Testing
Table of Contents
Overview
Performance testing measures how systems behave under various load conditions, including response times, throughput, resource utilization, and scalability. It helps identify bottlenecks, validate performance requirements, and ensure systems can handle expected loads.
When to Use
- Validating response time requirements
- Measuring API throughput and latency
- Testing database query performance
- Identifying performance bottlenecks
- Comparing algorithm efficiency
- Benchmarking before/after optimizations
- Validating caching effectiveness
- Testing concurrent user capacity
Quick Start
Minimal working example:
// load-test.js
import http from "k6/http";
import { check, sleep } from "k6";
import { Rate, Trend } from "k6/metrics";
// Custom metrics
const errorRate = new Rate("errors");
const orderDuration = new Trend("order_duration");
// Test configuration
export const options = {
stages: [
{ duration: "2m", target: 10 }, // Ramp up to 10 users
{ duration: "5m", target: 10 }, // Stay at 10 users
{ duration: "2m", target: 50 }, // Ramp up to 50 users
{ duration: "5m", target: 50 }, // Stay at 50 users
{ duration: "2m", target: 0 }, // Ramp down to 0
],
thresholds: {
http_req_duration: ["p(95)<500"], // 95% of requests under 500ms
http_req_failed: ["rate<0.01"], // Error rate under 1%
errors: ["rate<0.1"], // Custom error rate under 10%
},
};
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| k6 for API Load Testing | k6 for API Load Testing |
| Apache JMeter | Apache JMeter |
| pytest-benchmark for Python | pytest-benchmark for Python |
| JMH for Java Benchmarking | JMH for Java Benchmarking |
| Database Query Performance | Database Query Performance |
| Real-Time Monitoring | Real-Time Monitoring |
What ships with it
8 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.
- references/apache-jmeter.md 1.7 KB
- references/database-query-performance.md 2.1 KB
- references/jmh-for-java-benchmarking.md 1.8 KB
- references/k6-for-api-load-testing.md 2.9 KB
- references/pytest-benchmark-for-python.md 2.3 KB
- references/real-time-monitoring.md 1.8 KB
- scripts/validate-api.sh 440 B runs code
- templates/api-scaffold.yaml 467 B
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.
- 9d ago First seen · 103 lines · 42 tokens per session scan A 4ddbbefc8228
performance-testing is a skill published in the GitHub repository aj-geddes/useful-ai-prompts (338 stars, last pushed 6mo ago), licensed MIT. It adds 42 tokens to every session and 757 once invoked, about $0.0002 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 2026-09-03.
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