domain-modeling

A working method for defining the important concepts, terms, edge cases, and design decisions in a software project. It keeps the team’s shared understanding written down as the system changes.

In plain words
What is it for?
Designing or changing business models, creating a project glossary, exploring edge cases, and documenting architectural decisions.
Why use it?
It reduces confusion when people use the same word to mean different things or when a project’s rules are only understood informally. It records clarified terms and architecture decisions near the code.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/assisjp/specflow/domain-modeling
Any agent
npx skills add assisjp/specflow --skill domain-modeling
Clone the repo
git clone --depth 1 https://github.com/assisjp/specflow

Made for: Claude Code, Codex.

Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 772 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00108 $0.00772
Opus 5 $0.00054 $0.00386
Sonnet 5 $0.00022 $0.00154
Haiku 4.5 $0.00011 $0.00077

Measured 2d ago against content hash 65489d34779f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 2d 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.

skills/engineering/domain-modeling/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Domain Modeling

Actively build and sharpen the project's domain model as you design. This is the active discipline — challenging terms, inventing edge-case scenarios, and writing the glossary and decisions down the moment they crystallise. Use it when you are changing the model, not just consuming it.

File structure

Most repos have a single context:

/
├── CONTEXT.md
├── docs/
│   └── adr/
│       ├── 0001-event-sourced-orders.md
│       └── 0002-postgres-for-write-model.md
└── src/

If a CONTEXT-MAP.md exists at the root, the repo has multiple bounded contexts, and the map points to where each one lives:

/
├── CONTEXT-MAP.md
├── docs/adr/                         ← system-wide decisions
├── src/
│   ├── ordering/
│   │   ├── CONTEXT.md
│   │   └── docs/adr/                 ← context-specific decisions
│   └── billing/
│       ├── CONTEXT.md
│       └── docs/adr/

Create files lazily — only when you have something to write. No CONTEXT.md yet? Create it when the first term resolves. No docs/adr/? Create it when the first ADR is warranted.

During the session

Challenge against the glossary

When the user uses a term that conflicts with the language already in CONTEXT.md, call it out immediately. "Your glossary defines 'cancellation' as X, but you seem to mean Y — which is it?"

Sharpen fuzzy language

When the user uses a vague or overloaded term, propose a precise canonical one. "You said 'account' — do you mean the Customer or the User? Those are different things."

Stress-test with concrete scenarios

When domain relationships are on the table, invent specific scenarios that probe the edges and force precision about where one concept ends and the next begins.

Cross-reference with the code

When the user states how something works, check whether the code agrees. On a contradiction, surface it: "Your code cancels whole Orders, but you just said partial cancellation is possible — which is right?"

Update CONTEXT.md inline

Read the full file on GitHub · 72 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 72 lines · 108 tokens per session scan A 65489d34779f

Subscribe to this mod's changes

domain-modeling is a skill published in the GitHub repository assisjp/specflow (17 stars, last pushed 23d ago), licensed MIT. It adds 108 tokens to every session and 772 once invoked, about $0.0005 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 2026-08-30.

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