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 nWave-ai/nWave --skill nw-fp-fsharpgit clone --depth 1 https://github.com/nWave-ai/nWaveWrote 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/nwave-ai/nwave/nw-fp-fsharp)<a href="https://agentmods.dev/skills/nwave-ai/nwave/nw-fp-fsharp"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-fp-fsharp.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00021 | $0.01802 |
| Opus 5 | $0.00010 | $0.00901 |
| Sonnet 5 | $0.00004 | $0.00360 |
| Haiku 4.5 | $0.00002 | $0.00180 |
Grade A, and why
nw-fp-fsharp 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 5d 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FP in F# -- Functional Software Crafter Skill
Cross-references: fp-principles | fp-domain-modeling | property-based-testing
When to Choose F#
- Best for: domain modeling on .NET | DDD | railway-oriented programming | pipeline-first design | finance
- Not ideal for: teams needing higher-kinded types | non-.NET platforms | large existing C# codebases resistant to change
[STARTER] Quick Setup
dotnet new console -lang F# -o OrderService && cd OrderService
dotnet new xunit -lang F# -o OrderService.Tests
dotnet add OrderService.Tests reference OrderService
dotnet add OrderService.Tests package FsCheck.Xunit
dotnet test
File order matters: F# compiles files top-to-bottom as listed in .fsproj. Types must be defined before use.
[STARTER] Type System for Domain Modeling
Choice Types (Discriminated Unions)
type PaymentMethod =
| CreditCard of cardNumber: string * expiryDate: string
| BankTransfer of accountNumber: string
| Cash
Record Types and Domain Wrappers
type Customer = {
CustomerId: CustomerId
CustomerName: CustomerName
CustomerEmail: EmailAddress
}
type OrderId = OrderId of int
type EmailAddress = EmailAddress of string
Records have structural equality by default. Single-case DUs have small runtime cost (unlike Haskell's zero-cost newtype).
[STARTER] Validated Construction (Smart Constructors)
module EmailAddress =
let create (rawEmail: string) : Result<EmailAddress, string> =
if rawEmail.Contains("@") then Ok (EmailAddress rawEmail)
else Error $"Invalid email: {rawEmail}"
let value (EmailAddress email) = email
[INTERMEDIATE] Composition Style
Pipeline Operator (The Defining Feature)
let processOrder rawOrder =
rawOrder
|> validateOrder
|> Result.bind priceOrder
|> Result.bind confirmOrder
|> Result.map generateReceipt
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.
- 5d ago First seen · 219 lines · 21 tokens per session scan A 56bf18d4ab67
nw-fp-fsharp is a skill published in the GitHub repository nWave-ai/nWave (608 stars, last pushed 2d ago), licensed MIT. It adds 21 tokens to every session and 1,802 once invoked, about $0.0001 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 2026-09-03.
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