Artillery Load Testing

Artillery Load Testing is a skill for Claude Code, Codex from PramodDutta/qaskills. It costs 44 tokens per session (2,278 once invoked), scanned A, original, MIT.

A guide for creating Artillery load tests, which send simulated traffic to an HTTP API or website to see how it behaves under demand. Tests can use staged traffic, multi-step scenarios, CSV data, and checks on responses.

In plain words
What is it for?
Use it to test warm-ups, traffic increases, sustained demand, stress, soak, or spike conditions, including scenarios that pass values between requests.
Why use it?
It helps reveal slow responses and errors under load, and can make a build fail when agreed latency or error limits are exceeded.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for aider. Also seen: positional $N argument; mentions Codex; built for aider.

Good fit Use it to test warm-ups, traffic increases, sustained demand, stress, soak, or spike conditions, including scenarios that pass values between requests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pramoddutta/qaskills/artillery-load
Install

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.

Any agent
npx skills add PramodDutta/qaskills --skill artillery-load
Clone the repo
git clone --depth 1 https://github.com/PramodDutta/qaskills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for Artillery Load Testing

README.md
[![agentmods](https://agentmods.dev/badge/skills/pramoddutta/qaskills/artillery-load/github.svg)](https://agentmods.dev/skills/pramoddutta/qaskills/artillery-load)
Your own site
<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.

agentmods 80×15 button for Artillery Load Testing

Your own site · 80×15
<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>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,278 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
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]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 9d ago against content hash 98bc934e8063, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

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.

seed-skills/artillery-load/SKILL.md · 235 lines

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

  1. Model traffic in phases, never one flat rate. Real load has a warm-up, a ramp, and a sustained plateau. A single arrivalRate hides cold-start effects and autoscaling lag. Always define at least warm-up, ramp, and sustain phases.
  2. arrivalRate is 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.
  3. Thresholds belong in the test file, not in a wiki. Use the ensure plugin so artillery run exits non-zero when p95/p99 or error rate budgets are blown. A load test that cannot fail is a demo, not a test.
  4. Assert correctness under load with expect. A server returning 200 with an empty body at p99 latency is still broken. Check statusCode, contentType, and hasProperty inside the flow.
  5. Parameterize virtual users from CSV payloads. Hammering one account exercises one cache line and one DB row. Use payload with hundreds of distinct credentials and SKUs to defeat caches realistically.
  6. 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

Read the full file on GitHub · 235 lines

Changes

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.

  1. 9d ago First seen · 235 lines · 44 tokens per session scan A 98bc934e8063

Subscribe to this mod's changes

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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