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 beel-collab/presets.dev --skill fp-ts-reactgit clone --depth 1 https://github.com/beel-collab/presets.devWrote 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/beel-collab/presets.dev/fp-ts-react)<a href="https://agentmods.dev/skills/beel-collab/presets.dev/fp-ts-react"><img src="https://agentmods.dev/badge/skills/beel-collab/presets.dev/fp-ts-react/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/beel-collab/presets.dev/fp-ts-react"><img src="https://agentmods.dev/badge/skills/beel-collab/presets.dev/fp-ts-react.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 | $0.00044 | $0.05081 |
| Opus 5.5 | $0.00018 | $0.02032 |
| Sonnet 5.5 | $0.00009 | $0.01016 |
| Haiku 4.5 | $0.00004 | $0.00508 |
Grade A, and why
fp-ts-react scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
const res = await fetch(url) This is a copy
88% identical to fp-react — 22 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 804 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Functional Programming in React
Practical patterns for React apps. No jargon, just code that works.
When to Use This Skill
- When building React apps with fp-ts for type-safe state management
- When handling loading/error/success states in data fetching
- When implementing form validation with error accumulation
- When using React 18/19 or Next.js 14/15 with functional patterns
Quick Reference
| Pattern | Use When |
|---|---|
Option |
Value might be missing (user not loaded yet) |
Either |
Operation might fail (form validation) |
TaskEither |
Async operation might fail (API calls) |
RemoteData |
Need to show loading/error/success states |
pipe |
Chaining multiple transformations |
1. State with Option (Maybe It's There, Maybe Not)
Use Option instead of null | undefined for clearer intent.
Basic Pattern
import { useState } from 'react'
import * as O from 'fp-ts/Option'
import { pipe } from 'fp-ts/function'
interface User {
id: string
name: string
email: string
}
function UserProfile() {
// Option says "this might not exist yet"
const [user, setUser] = useState<O.Option<User>>(O.none)
const handleLogin = (userData: User) => {
setUser(O.some(userData))
}
const handleLogout = () => {
setUser(O.none)
}
return pipe(
user,
O.match(
// When there's no user
() => <button onClick={() => handleLogin({ id: '1', name: 'Alice', email: '[email protected]' })}>
Log In
</button>,
// When there's a user
(u) => (
<div>
<p>Welcome, {u.name}!</p>
<button onClick={handleLogout}>Log Out</button>
</div>
)
)
)
}
Chaining Optional Values
import * as O from 'fp-ts/Option'
import { pipe } from 'fp-ts/function'
interface Profile {
user: O.Option<{
name: string
settings: O.Option<{
theme: string
}>
}>
}
function getTheme(profile: Profile): string {
return pipe(
profile.user,
O.flatMap(u => u.settings),
O.map(s => s.theme),
O.getOrElse(() => 'light') // default
)
}
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.
- 1mo ago First seen · 804 lines · 44 tokens per session scan A b103849afa67
fp-ts-react is a skill published in the GitHub repository beel-collab/presets.dev (3 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 5,081 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 88% identical to fp-react, differing in 22 lines, and is treated as a copy.
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