Atlas / Skills / nwave-ai / Nw Fp Scala

Nw Fp ScalaSAFE

skills/nwave-ai/nw-fp-scala

AI agents that guide you from idea to working code, with you in control at every step.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
617
01

Overview

AI agents that guide you from idea to working code, with you in control at every step.

Read from source at commit 1a864ec81cdeOBSERVED · 2026-10-14
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02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: nw-fp-scala
agent: nw-functional-software-crafter
description: Scala 3 language-specific patterns with ZIO, Cats Effect, and opaque types
user-invocable: false
disable-model-invocation: true
---

# FP in Scala 3 -- Functional Software Crafter Skill

Cross-references: [fp-principles](../nw-fp-principles/SKILL.md) | [fp-domain-modeling](../nw-fp-domain-modeling/SKILL.md) | [property-based-testing](../nw-property-based-testing/SKILL.md)

## When to Choose Scala

- Best for: JVM with full FP power | large-scale systems | data engineering | richest effect ecosystem
- Not ideal for: small teams wanting simplicity | Android (use Kotlin) | teams allergic to OO/FP duality

## [STARTER] Quick Setup

```bash
cs install scala3-compiler scala3-repl sbt
sbt new scala/scala3.g8 && cd order-service
# Add zio, zio-test, scalacheck to build.sbt
sbt compile && sbt test
```

## [STARTER] Type System for Domain Modeling

### Choice Types and Record Types

```scala
enum PaymentMethod:
  case CreditCard(cardNumber: String, expiryDate: String)
  case BankTransfer(accountNumber: String)
  case Cash

case class Customer(
  customerId: CustomerId,
  customerName: CustomerName,
  customerEmail: EmailAddress
)
```

Case classes provide structural equality, copy, and pattern matching for free.

### [STARTER] Domain Wrappers (Opaque Types) -- Zero Cost

```scala
object OrderDomain:
  opaque type OrderId = Int
  object OrderId:
    def apply(value: Int): OrderId = value
  extension (id: OrderId) def value: Int = id

  opaque type EmailAddress = String
  object EmailAddress:
    def from(raw: String): Either[ValidationError, EmailAddress] =
      if raw.contains("@") then Right(raw)
      else Left(InvalidEmail(raw))
```

Inside defining scope, alias is transparent. Outside, only exported operations available.

## [INTERMEDIATE] Composition Style

### For-Comprehensions (Monadic Chaining)

```scala
def placeOrder(raw: RawOrder): Either[OrderError, Confirmation] =
  for
    validated <- validateOrder(raw)
    priced    <- priceOrder(validated)
    confirmed <- confirmOrder(priced)
  yield confirmed
```

### Error Accumulation (Cats Validated or ZIO)

```scala
import cats.data.Validated
import cats.syntax.all.*

def validateCustomer(raw: RawCustomer): ValidatedNel[ValidationError, Customer] =
  (validateName(raw.name), validateEmail(raw.email), validateAddress(raw.address))
    .mapN(Customer.apply)
```

## [ADVANCED] Effect Management

### ZIO vs Cats Effect

ZIO: `ZIO[R, E, A]` with built-in typed errors, DI (ZLayer), batteries-included. Cats Effect: `IO[A]`, minimal type-class-based, Typelevel ecosystem (http4s, FS2, Doobie). Pick one and stay consistent.

### ZIO Hexagonal Architecture

```scala
trait OrderRepository:
  def findOrder(id: OrderId): Task[Option[Order]]
  def saveOrder(order: Order): Task[Unit]

def placeOrder(raw: RawOrder): ZIO[OrderRepository & PricingService, OrderError, Confirmation] =
  for
    repo      <- ZIO.service[OrderRepository]
    validated <- ZIO.fromEither(validateOrder(raw))
    priced    <- ZIO.fromEither(priceOrder(validated))
    _         <- repo.saveOrder(priced)
  yield Confirmation(priced.orderId)

// Adapter
class PostgresOrderRepository(ds: DataSource) extends OrderRepository:
  def findOrder(id: OrderId): Task[Option[Order]] = ZIO.attemptBlocking { /* query */ }
  def saveOrder(order: Order): Task[Unit] = ZIO.attemptBlocking { /* insert */ }

val appLayer: ZLayer[Any, Nothing, OrderRepository & PricingService] =
  PostgresOrderRepository.layer ++ PricingServiceLive.layer
```

### Cats Effect / Tagless Final

```scala
trait OrderRepository[F[_]]:
  def findOrder(id: OrderId): F[Option[Order]]

def placeOrder[F[_]: Monad](repo: OrderRepository[F])(raw: RawOrder): F[Either[OrderError, Confirmation]] =
  for
    validated <- Monad[F].pure(validateOrder(raw))
    result <- validated match
      case Left(err) => Monad[F].pure(Left(err))
      case Right(v)  => repo.findOrder(v.orderId).map(_.toRight(OrderNotFound))
  yield result
```

## [INTERMEDIATE] Testing

**Frameworks**: ScalaCheck (PBT) | ZIO Test (integrated PBT + unit) | ScalaTest (BDD) | MUnit (lightweight). See [property-based-testing](../nw-property-based-testing/SKILL.md) for detailed PBT patterns.

### Property Test (ScalaCheck)

```scala
import org.scalacheck.Properties
import org.scalacheck.Prop.forAll

object OrderSpec extends Properties("Order"):
  property("serialization round-trips") = forAll { (order: Order) =>
    deserialize(serialize(order)) == Right(order)
  }
  property("validated orders have positive totals") = forAll { (raw: RawOrder) =>
    validateOrder(raw) match
      case Left(_)     => true
      case Right(valid) => valid.total.value > 0
  }
```

## [ADVANCED] Idiomatic Patterns

### Enum-Based State Machines

```scala
enum OrderState:
  case Unvalidated(raw: RawOrder)
  case Validated(order: ValidatedOrder)
  case Priced(order: PricedOrder)
  case Confirmed(confirmation: Confirmation)

def transition(state: OrderState, command: OrderCommand): Either[OrderError, OrderState] =
  (state, command) match
    case (OrderState.Unvalidated(raw), OrderCommand.Validate) =>
      validateOrder(raw).map(OrderState.Validated(_))
    case (OrderState.Validated(order), OrderCommand.Price) =>
      priceOrder(order).map(OrderState.Priced(_))
    case _ => Left(InvalidTransition(state, command))
```

### Extension Methods for Domain Operations

```scala
extension (order: PricedOrder)
  def totalWithTax(taxRate: BigDecimal): Money = Money(order.total.value * (1 + taxRate))
  def isHighValue: Boolean = order.total.value > 1000
```

## Maturity and Adoption

- **Ecosystem fragmentation**: ZIO vs Cats Effect creates split ecosystem. Libraries often target one or the other. Mixing is painful.
- **Slow compilation**: Scala 3 faster than 2 but still significantly slower than Kotlin or Java. Keep modules small; consider Mill over sbt.
- **Complexity reputation**: Scala's power (implicits, type-level programming
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-14 · audit v0.4.1 · source sha 1a864ec81cdefull audit observations/trust-audit/skill/nwave-ai__nw-fp-scala.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-141a864ec81cdeSAFEB89first audit
05

Questions

What does the Nw Fp Scala skill do?

AI agents that guide you from idea to working code, with you in control at every step.

Is Nw Fp Scala safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Nw Fp Scala access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (1a864ec81cde), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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