nw-ddd-event-modeling

nw-ddd-event-modeling is a skill for Claude Code from nWave-ai/nWave. It costs 32 tokens per session (1,812 once invoked), scanned A, original, MIT.

A collaborative way to describe how a business process works by arranging events, user actions, screens, system reactions, and external systems on a timeline. It can turn that model into Given-When-Then specifications, a format for describing test scenarios.

In plain words
What is it for?
Use it to explore workflows, identify commands and views, define aggregate boundaries, and write scenarios for business behavior.
Why use it?
It gives developers, business people, and designers one shared view of what should happen. It also exposes missing steps and creates testable requirements before implementation details are chosen.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use it to explore workflows, identify commands and views, define aggregate boundaries, and write scenarios for business behavior.

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Install with agentmods
npx agentmods add skills/nwave-ai/nwave/nw-ddd-event-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 nWave-ai/nWave --skill nw-ddd-event-modeling
Clone the repo
git clone --depth 1 https://github.com/nWave-ai/nWave

Made for: Claude Code.

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 nw-ddd-event-modeling

README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/nwave-ai/nwave/nw-ddd-event-modeling"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-ddd-event-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,812 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 $0.00032 $0.01812
Opus 5 $0.00016 $0.00906
Sonnet 5 $0.00006 $0.00362
Haiku 4.5 $0.00003 $0.00181

Measured 6d ago against content hash c028a1b806c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

nw-ddd-event-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 6d 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.

nWave/skills/nw-ddd-event-modeling/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Event Modeling

Collaborative visual design technique created by Adam Dymitruk. The Event Model IS the specification -- it replaces traditional requirements documents with a single, living visual artifact.

Key Properties

  • Collaborative: Everyone participates (devs, business, UX)
  • Visual: Colored elements on a timeline (physical or digital board)
  • Timeline-based: Events arranged chronologically, left to right
  • Spec-generating: Model directly produces testable Given/When/Then specifications
  • Technology-agnostic: Describes WHAT happens, not HOW it's implemented

The Color System

Color Element Description Example
Orange Event Something that happened (past tense) OrderPlaced, PaymentReceived
Blue Command User intent/action (imperative) PlaceOrder, ProcessPayment
Green Read Model/View Data displayed to user Order Summary, Shipping Dashboard
White Screen/UI User interface wireframe Order Form, Checkout Page
Yellow Automation/Policy System reaction (saga/process manager) "When PaymentReceived, then ConfirmOrder"
Red External System Integration point Payment Gateway, Email Service

Four Phases

Phase 1: Event Brainstorming (10-20 min)

Discover all meaningful things that happen in the system.

Process: Everyone writes events on orange stickies (past tense, domain language) | Place on timeline (left = earlier, right = later) | No filtering -- capture everything | Group related events vertically (these form swimlanes/slices)

Facilitation tips:

  • Start with the happy path -- what happens when everything goes right?
  • Then add error/exception events
  • Ask: "What happens before this? What happens after?"
  • Business people identify events developers miss
  • Don't worry about order precision -- rough chronological is fine

Example timeline:

Timeline ─────────────────────────────────────────────────>

[CustomerRegistered] [ItemAddedToCart] [OrderPlaced] [PaymentReceived]
                     [ItemRemovedFromCart]            [PaymentFailed]
                                       [OrderCancelled] [OrderConfirmed]
                                                        [ItemShipped]
                                                        [RefundRequested]

Read the full file on GitHub · 160 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. 6d ago First seen · 160 lines · 32 tokens per session scan A c028a1b806c3

Subscribe to this mod's changes

nw-ddd-event-modeling is a skill published in the GitHub repository nWave-ai/nWave (610 stars, last pushed 3d ago), licensed MIT. It adds 32 tokens to every session and 1,812 once invoked, about $0.0002 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.