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/petrkindlmann/qa-skills/performance-testingnpx skills add petrkindlmann/qa-skills --skill performance-testinggit clone --depth 1 https://github.com/petrkindlmann/qa-skillsWrote 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/petrkindlmann/qa-skills/performance-testing)<a href="https://agentmods.dev/skills/petrkindlmann/qa-skills/performance-testing"><img src="https://agentmods.dev/badge/skills/petrkindlmann/qa-skills/performance-testing.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 | $0.00165 | $0.04427 |
| Opus 5 | $0.00082 | $0.02214 |
| Sonnet 5 | $0.00033 | $0.00885 |
| Haiku 4.5 | $0.00016 | $0.00443 |
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 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 — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quick Route
| You need to... | Go to |
|---|---|
| Test backend capacity / throughput / latency under traffic | k6 Load Testing → references/recipes.md |
| Pick a load shape (constant / ramp / spike / soak) | Load Profiles table |
| Measure frontend speed for real users (LCP, INP, CLS) | Web Performance + Core Web Vitals |
| Gate page perf in CI | Lighthouse CI (gate TBT, not INP — see below) |
| A budget is breached and you must find why | Bottleneck Identification |
| Migrate an existing suite from k6 v1 → v2 | k6 v2 Migration callout |
Discovery Questions
Check .agents/qa-project-context.md first — if it exists, use it and skip questions
already answered there.
What to Measure
- Web performance or load testing? Web performance measures user-perceived speed (Core Web Vitals, page load). Load testing measures server capacity (RPS, latency under load). Most products need both.
- Which user journeys are performance-critical? Not every endpoint needs load testing. Focus on high-traffic, revenue-critical, or latency-sensitive flows.
- Existing performance budgets? If yes, what are the targets? If no, this skill helps establish them — measure baseline first.
Current State
- What is the current baseline? You need numbers before you can set targets. Measure first, then define budgets.
- What broke due to performance before? Slow pages that lost users, endpoints that timed out under load, queries that locked up — these point at where to focus.
- Existing monitoring? APM (Datadog, New Relic), RUM, or synthetic probes give you field data to model realistic load.
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 · 285 lines · 165 tokens per session scan A 0237a4494852
performance-testing is a skill published in the GitHub repository petrkindlmann/qa-skills (108 stars, last pushed 2mo ago), licensed MIT. It adds 165 tokens to every session and 4,427 once invoked, about $0.0008 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 2026-08-30.
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