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 RadOrigin-LLC/RAD-Claude-Skills --skill fastify-testinggit clone --depth 1 https://github.com/RadOrigin-LLC/RAD-Claude-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/radorigin-llc/rad-claude-skills/fastify-testing)<a href="https://agentmods.dev/skills/radorigin-llc/rad-claude-skills/fastify-testing"><img src="https://agentmods.dev/badge/skills/radorigin-llc/rad-claude-skills/fastify-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/radorigin-llc/rad-claude-skills/fastify-testing"><img src="https://agentmods.dev/badge/skills/radorigin-llc/rad-claude-skills/fastify-testing.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00081 | $0.02045 |
| Opus 5 | $0.00041 | $0.01022 |
| Sonnet 5 | $0.00016 | $0.00409 |
| Haiku 4.5 | $0.00008 | $0.00204 |
Grade A, and why
fastify-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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fastify Testing Patterns
You are guiding the user through testing Fastify applications. Follow these instructions precisely when generating test code, reviewing test files, or advising on Fastify test architecture.
Core Principle: In-Process Injection
NEVER bind Fastify to a real TCP port during unit or integration tests. Use the .inject() method for all HTTP simulation. Fastify ships with light-my-request built in, so .inject() simulates requests entirely in-process with zero network stack overhead. This means dramatically faster execution and no "address in use" port conflicts when running tests in parallel.
When you see test code that calls app.listen() or binds to a port, flag it immediately and refactor to use .inject() instead.
App/Server Separation (Non-Negotiable)
ALWAYS separate plugin and route registration from the network listener. Structure every Fastify project with this separation:
- Create an
app.js(orapp.ts) that exports abuild()orcreateApp()function. This function constructs the Fastify instance, registers all plugins and routes, then returns the instance without listening. - Create a
server.js(orserver.ts) that importsbuild(), calls it, and then callsapp.listen(). This file contains minimal code and is not tested directly. - The test suite creates fresh, isolated instances per test case by calling
build().
When scaffolding a new Fastify project, always apply this pattern from the start. When reviewing existing code that does not follow this pattern, recommend the refactor as a prerequisite to testability.
Pattern
// app.js
const Fastify = require('fastify')
async function build(opts = {}) {
const app = Fastify(opts)
app.register(require('./plugins/db'))
app.register(require('./routes/users'), { prefix: '/api/users' })
return app
}
module.exports = build
// server.js
const build = require('./app')
const start = async () => {
const app = await build({ logger: true })
await app.listen({ port: 3000, host: '0.0.0.0' })
}
start()
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 · 199 lines · 81 tokens per session scan A 7341cb63084b
fastify-testing is a skill published in the GitHub repository RadOrigin-LLC/RAD-Claude-Skills (5 stars, last pushed 22d ago), licensed Apache-2.0. It adds 81 tokens to every session and 2,045 once invoked, about $0.0004 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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