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 PramodDutta/qaskills --skill artillery-loadgit clone --depth 1 https://github.com/PramodDutta/qaskillsWrote 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/pramoddutta/qaskills/artillery-load)<a href="https://agentmods.dev/skills/pramoddutta/qaskills/artillery-load"><img src="https://agentmods.dev/badge/skills/pramoddutta/qaskills/artillery-load/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/pramoddutta/qaskills/artillery-load"><img src="https://agentmods.dev/badge/skills/pramoddutta/qaskills/artillery-load.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 32 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 35 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 38 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 198 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00044 | $0.02278 |
| Opus 5 | $0.00022 | $0.01139 |
| Sonnet 5 | $0.00009 | $0.00456 |
| Haiku 4.5 | $0.00004 | $0.00228 |
Grade A, and why
Artillery Load 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 — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Artillery Load Testing
This skill makes an AI agent author Artillery 2.x load tests as declarative YAML: realistic traffic phases, multi-step scenarios with captured variables, CSV-driven virtual user data, functional expect checks inside load flows, and ensure thresholds that turn latency regressions into red CI builds. Trigger it when a project contains artillery.yml, artillery in package.json, or when the user asks for load, stress, soak, or spike testing of an HTTP API or website in a Node.js stack.
Core Principles
- Model traffic in phases, never one flat rate. Real load has a warm-up, a ramp, and a sustained plateau. A single
arrivalRatehides cold-start effects and autoscaling lag. Always define at least warm-up, ramp, and sustain phases. arrivalRateis new virtual users per second, not concurrency. Each arriving VU runs the whole scenario. If your scenario takes 10 seconds and you arrive 50/sec, you have roughly 500 concurrent users. Calculate this before picking numbers.- Thresholds belong in the test file, not in a wiki. Use the
ensureplugin soartillery runexits non-zero when p95/p99 or error rate budgets are blown. A load test that cannot fail is a demo, not a test. - Assert correctness under load with
expect. A server returning 200 with an empty body at p99 latency is still broken. CheckstatusCode,contentType, andhasPropertyinside the flow. - Parameterize virtual users from CSV payloads. Hammering one account exercises one cache line and one DB row. Use
payloadwith hundreds of distinct credentials and SKUs to defeat caches realistically. - Never load test production without a plan; never load test third parties at all. Point Artillery at a staging environment sized like production, announce test windows, and rate-limit anything that crosses a vendor boundary.
Setup
npm install --save-dev artillery@latest
npx artillery version
# Run a test locally
npx artillery run load/checkout.yml
# Save raw metrics for trend analysis
npx artillery run load/checkout.yml --output artillery-report.json
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 · 235 lines · 44 tokens per session scan A 98bc934e8063
Artillery Load Testing is a skill published in the GitHub repository PramodDutta/qaskills (219 stars, last pushed 9d ago), licensed MIT. It adds 44 tokens to every session and 2,278 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 2026-08-30.
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