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-haskellgit 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-haskell)<a href="https://agentmods.dev/skills/nwave-ai/nwave/nw-fp-haskell"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-fp-haskell/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/nwave-ai/nwave/nw-fp-haskell"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-fp-haskell.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Supply Chain · line 22 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Tool Misuse · line 22 Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
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 | $0.00022 | $0.01832 |
| Opus 5.5 | $0.00009 | $0.00733 |
| Sonnet 5.5 | $0.00004 | $0.00366 |
| Haiku 4.5 | $0.00002 | $0.00183 |
Grade C, and why
nw-fp-haskell scanned grade C with 2 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 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl --proto '=https' --tlsv1.2 -sSf https://get-ghcup.haskell.org | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl --proto '=https' --tlsv1.2 -sSf https://get-ghcup.haskell.org | sh How it starts
The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FP in Haskell -- Functional Software Crafter Skill
Cross-references: fp-principles | fp-domain-modeling | property-based-testing
When to Choose Haskell
- Best for: correctness-critical systems | compiler-enforced purity | maximum type safety | financial systems
- Not ideal for: teams needing fast onboarding | rapid prototyping | .NET/JVM platform requirements
[STARTER] Quick Setup
# Install GHCup (manages GHC, cabal, stack, HLS)
curl --proto '=https' --tlsv1.2 -sSf https://get-ghcup.haskell.org | sh
# Create project
mkdir order-service && cd order-service && cabal init --interactive
# Or: stack new order-service simple && stack build && stack test
Test runner: cabal test or stack test. Add hspec, QuickCheck, hedgehog to build-depends.
[STARTER] Type System for Domain Modeling
Choice Types (Sum Types)
data PaymentMethod
= CreditCard CardNumber ExpiryDate
| BankTransfer AccountNumber
| Cash
deriving (Eq, Show)
Record Types and Newtypes
data Customer = Customer
{ customerId :: CustomerId
, customerName :: CustomerName
, customerEmail :: EmailAddress
} deriving (Eq, Show)
newtype OrderId = OrderId Int deriving (Eq, Ord, Show)
newtype EmailAddress = EmailAddress Text deriving (Eq, Show)
newtype is erased at compile time -- zero runtime overhead, full type safety.
[STARTER] Validated Construction (Smart Constructors)
module Domain.Email (EmailAddress, mkEmailAddress, emailToText) where
import Data.Text (Text)
import qualified Data.Text as T
newtype EmailAddress = EmailAddress Text deriving (Eq, Show)
mkEmailAddress :: Text -> Either ValidationError EmailAddress
mkEmailAddress raw
| "@" `T.isInfixOf` raw = Right (EmailAddress raw)
| otherwise = Left (InvalidEmail raw)
Export the type but not the constructor. Only mkEmailAddress can create values.
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 · 232 lines · 22 tokens per session scan C 1757e50534b7
nw-fp-haskell is a skill published in the GitHub repository nWave-ai/nWave (617 stars, last pushed 27d ago), licensed MIT. It adds 22 tokens to every session and 1,832 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
java-testing-junit-mockito
Use when writing tests for Java (Quarkus or Spring) code - JUnit Jupiter structure, Mockito for collaborators, test slices, Testcontainers, and framework-native integration tests, test-first.
rust-testing
Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.
cpp-testing
Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.
temporal-python-testing
Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
python-testing
Guidelines for writing and running tests in the Agent Framework Python codebase. Use this when creating, modifying, or running tests.
principle-test-behavior-not-implementation
Apply when you write, change, or keep a test. Call the code as its users do and assert the exact result they see. Rewrite or delete a test that would pass if every imported function returned undefined.