effect-patterns-domain-modeling

effect-patterns-domain-modeling is a skill for Claude Code from PaulJPhilp/EffectPatterns. It costs 27 tokens per session (9,438 once invoked), scanned A, original, MIT.

A collection of Effect-TS patterns for representing business concepts and their errors in code. Domain modeling means defining the users, records, rules, and failures that make up an application.

In plain words
What is it for?
Use it when designing application data types, validation rules, and typed errors in Effect-TS projects.
Why use it?
It helps make business errors distinct and easier to handle, such as telling a missing user apart from an invalid email or duplicate account.

Skill for Claude Code

Written for Claude Code: a Claude Code plugin manifest.

Part of the effect-patterns plugin — 24 skills, 2 commands shipped together

Good fit Use it when designing application data types, validation rules, and typed errors in Effect-TS projects.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pauljphilp/effectpatterns/effect-patterns-domain-modeling
Install

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.

Any agent
npx skills add PaulJPhilp/EffectPatterns --skill effect-patterns-domain-modeling
Clone the repo
git clone --depth 1 https://github.com/PaulJPhilp/EffectPatterns

Made for: Claude Code.

Or install effect-patterns, the plugin that ships this one along with the rest of its 24 skills, 2 commands.

Wrote 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.

agentmods badge for effect-patterns-domain-modeling

README.md
[![agentmods](https://agentmods.dev/badge/skills/pauljphilp/effectpatterns/effect-patterns-domain-modeling/github.svg)](https://agentmods.dev/skills/pauljphilp/effectpatterns/effect-patterns-domain-modeling)
Your own site
<a href="https://agentmods.dev/skills/pauljphilp/effectpatterns/effect-patterns-domain-modeling"><img src="https://agentmods.dev/badge/skills/pauljphilp/effectpatterns/effect-patterns-domain-modeling/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.

agentmods 80×15 button for effect-patterns-domain-modeling

Your own site · 80×15
<a href="https://agentmods.dev/skills/pauljphilp/effectpatterns/effect-patterns-domain-modeling"><img src="https://agentmods.dev/badge/skills/pauljphilp/effectpatterns/effect-patterns-domain-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,438 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.09438
Opus 5.5 $0.00011 $0.03775
Sonnet 5.5 $0.00005 $0.01888
Haiku 4.5 $0.00003 $0.00944

Measured 1mo ago against content hash 4fd9849afa89, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

effect-patterns-domain-modeling 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 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.

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.

config/.claude-plugin/plugins/effect-patterns/skills/effect-patterns-domain-modeling/SKILL.md · 1,386 lines

How it starts

The opening of the file, as written. The whole thing — 1,386 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Effect-TS Patterns: Domain Modeling

This skill provides 15 curated Effect-TS patterns for domain modeling. Use this skill when working on tasks related to:

  • domain modeling
  • Best practices in Effect-TS applications
  • Real-world patterns and solutions

🟢 Beginner Patterns

Create Type-Safe Errors

Rule: Use Data.TaggedError to create typed, distinguishable errors for your domain.

Good Example:

import { Effect, Data } from "effect"

// ============================================
// 1. Define tagged errors for your domain
// ============================================

class UserNotFoundError extends Data.TaggedError("UserNotFoundError")<{
  readonly userId: string
}> {}

class InvalidEmailError extends Data.TaggedError("InvalidEmailError")<{
  readonly email: string
  readonly reason: string
}> {}

class DuplicateUserError extends Data.TaggedError("DuplicateUserError")<{
  readonly email: string
}> {}

// ============================================
// 2. Use in Effect functions
// ============================================

interface User {
  id: string
  email: string
  name: string
}

const validateEmail = (email: string): Effect.Effect<string, InvalidEmailError> => {
  if (!email.includes("@")) {
    return Effect.fail(new InvalidEmailError({
      email,
      reason: "Missing @ symbol"
    }))
  }
  return Effect.succeed(email)
}

const findUser = (id: string): Effect.Effect<User, UserNotFoundError> => {
  // Simulate database lookup
  if (id === "123") {
    return Effect.succeed({ id, email: "[email protected]", name: "Alice" })
  }
  return Effect.fail(new UserNotFoundError({ userId: id }))
}

const createUser = (
  email: string,
  name: string
): Effect.Effect<User, InvalidEmailError | DuplicateUserError> =>
  Effect.gen(function* () {
    const validEmail = yield* validateEmail(email)

    // Simulate duplicate check
    if (validEmail === "[email protected]") {
      return yield* Effect.fail(new DuplicateUserError({ email: validEmail }))
    }

    return {
      id: crypto.randomUUID(),
      email: validEmail,
      name,
    }
  })

// ============================================
// 3. Handle errors by tag
// ============================================

const program = createUser("[email protected]", "Alice").pipe(
  Effect.catchTag("InvalidEmailError", (error) =>
    Effect.succeed({
      id: "fallback",
      email: "[email protected]",
      name: `${error.email} was invalid: ${error.reason}`,
    })
  ),
  Effect.catchTag("DuplicateUserError", (error) =>
    Effect.fail(new Error(`Email ${error.email} already registered`))
  )
)

// ============================================
// 4. Match on all errors
// ============================================

const handleAllErrors = createUser("bad-email", "Bob").pipe(
  Effect.catchTags({
    InvalidEmailError: (e) => Effect.succeed(`Invalid: ${e.reason}`),
    DuplicateUserError: (e) => Effect.succeed(`Duplicate: ${e.email}`),
  })
)

// ============================================
// 5. Run and see results
// ============================================

Effect.runPromise(program)
  .then((user) => console.log("Created:", user))
  .catch((error) => console.error("Failed:", error))

Read the full file on GitHub · 1,386 lines

Changes

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.

  1. 1mo ago First seen · 1,386 lines · 27 tokens per session scan A 4fd9849afa89

Subscribe to this mod's changes

effect-patterns-domain-modeling is a skill published in the GitHub repository PaulJPhilp/EffectPatterns (807 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 9,438 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.

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