loadtest

loadtest is a skill for Claude Code, Codex from OXI-717/ai-native-toolkit. It costs 155 tokens per session (1,911 once invoked), scanned A, original, MIT.

A bounded HTTP load-testing workflow using Locust, a tool that simulates users sending requests to a web application. It generates a test scenario and produces statistics plus a Markdown report.

In plain words
What is it for?
Testing web pages or API endpoints, simulating concurrent users, measuring latency and requests per second, and recording the results in a report.
Why use it?
It helps measure response times and request capacity under simulated traffic before a real increase in usage. It also makes the test duration, user count, request rate, authentication, and possible serverless request costs explicit.

Skill for Claude CodeCodex

Installs and runs on its own, but its text points at files inside the plugin that ships it — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed.

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.

agentmods
npx agentmods add skills/oxi-717/ai-native-toolkit/loadtest
Any agent
npx skills add OXI-717/ai-native-toolkit --skill loadtest
Clone the repo
git clone --depth 1 https://github.com/OXI-717/ai-native-toolkit

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 loadtest

README.md
[![agentmods](https://agentmods.dev/badge/skills/oxi-717/ai-native-toolkit/loadtest.svg)](https://agentmods.dev/skills/oxi-717/ai-native-toolkit/loadtest)
Your own site
<a href="https://agentmods.dev/skills/oxi-717/ai-native-toolkit/loadtest"><img src="https://agentmods.dev/badge/skills/oxi-717/ai-native-toolkit/loadtest.svg" alt="Measured on agentmods" height="20"></a>
Per session 155 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,911 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00155 $0.01911
Opus 5 $0.00077 $0.00955
Sonnet 5 $0.00031 $0.00382
Haiku 4.5 $0.00015 $0.00191

Measured 4d ago against content hash ae88f024b910, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

loadtest 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 4d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (references/locustfile-template.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/pentest/skills/loadtest/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Webapp Loadtest

Time-bounded HTTP load test with Locust. Generates a scenario file from a template, runs for the duration the user names, produces a markdown report.

Default language: match user. Output: {cwd}/pentest-output/{target-slug}-{YYYY-MM-DD}/loadtest/.

Never run without a billing-awareness check. Serverless targets (Vercel, Cloudflare Workers, AWS Lambda) charge per request. A load test that runs for 10 minutes at 50 RPS = 30,000 requests the target owner pays for. Confirm the budget before starting.


Phase 0 — Scope

Ask or confirm:

  • Target URL — base URL, e.g. https://api.example.com
  • Endpoints to hit — list of paths + methods + bodies. Default: just GET / if user didn't say.
  • Auth — none / bearer token / cookie / Telegram initData / custom header. If auth is needed, ask user for the artifact once and store in secrets.env (gitignored).
  • Load profile — concurrent users + ramp-up + duration. Sane defaults:
    • --users 20 --spawn-rate 2 --run-time 2m for a baseline
    • User can override with --users 100 --spawn-rate 10 --run-time 5m etc.
  • RPS cap — enforced inside the generated locustfile via wait_time = between(WAIT_MIN, WAIT_MAX). Defaults WAIT_MIN=1, WAIT_MAX=2 → ~0.5–1 req/s/user → ~10–20 RPS at 20 users. Locust itself has no --no-rps-cap flag; to remove the cap, the user passes WAIT_MIN=0 WAIT_MAX=0 as env vars and the locustfile switches to constant(0) wait.
  • Billing consent — confirm the target can afford this. If Vercel / serverless is involved, say it out loud.

Phase 1 — Workspace

slug=$(echo "<target-host>" | tr -cd 'a-z0-9-')
day=$(date +%Y-%m-%d)
workdir="${PWD}/pentest-output/${slug}-${day}/loadtest"
mkdir -p "${workdir}"
echo 'secrets.env
*.local.*' > "${workdir}/.gitignore"

Phase 2 — Generate Locustfile

Render references/locustfile-template.py into ${workdir}/locustfile.py. Fill in:

  • Base URL
  • Endpoint list (one @task(weight=N) per endpoint)
  • Auth injection (headers or cookies)
  • Optional: warm-up request on on_start

Read the full file on GitHub · 136 lines

Files

What ships with it

5 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.

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. 4d ago First seen · 136 lines · 155 tokens per session scan A ae88f024b910

Subscribe to this mod's changes

loadtest is a skill published in the GitHub repository OXI-717/ai-native-toolkit (7 stars, last pushed 11d ago), licensed MIT. It adds 155 tokens to every session and 1,911 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 2026-08-31.

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