domain-modeling

domain-modeling is a skill for Claude Code from jasonm4130/claude-skills. It costs 63 tokens per session (1,216 once invoked), scanned A, original, MIT.

A method for defining the important terms in a software project and keeping them consistent in a shared glossary. It helps clarify vague or overloaded words while the system is being designed.

In plain words
What is it for?
Use it to name concepts, build a project glossary, define a shared vocabulary, resolve ambiguous terms, and maintain CONTEXT.md files.
Why use it?
When a team or coding agent uses the same word in different ways, code, discussions, and documents become harder to understand. A maintained glossary reduces that confusion.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md.

Part of the domain-modeling plugin — 1 skill, 3 hooks shipped together

Good fit Use it to name concepts, build a project glossary, define a shared vocabulary, resolve ambiguous terms, and maintain CONTEXT.md files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jasonm4130/claude-skills/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 jasonm4130/claude-skills --skill domain-modeling
Clone the repo
git clone --depth 1 https://github.com/jasonm4130/claude-skills

Made for: Claude Code.

Or install domain-modeling, the plugin that ships this one along with the rest of its 1 skill, 3 hooks.

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 domain-modeling

README.md
[![agentmods](https://agentmods.dev/badge/skills/jasonm4130/claude-skills/domain-modeling/github.svg)](https://agentmods.dev/skills/jasonm4130/claude-skills/domain-modeling)
Your own site
<a href="https://agentmods.dev/skills/jasonm4130/claude-skills/domain-modeling"><img src="https://agentmods.dev/badge/skills/jasonm4130/claude-skills/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 domain-modeling

Your own site · 80×15
<a href="https://agentmods.dev/skills/jasonm4130/claude-skills/domain-modeling"><img src="https://agentmods.dev/badge/skills/jasonm4130/claude-skills/domain-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,216 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.
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 $0.00063 $0.01216
Opus 5 $0.00032 $0.00608
Sonnet 5 $0.00013 $0.00243
Haiku 4.5 $0.00006 $0.00122

Measured 11d ago against content hash 8656d109a8e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (skill.test.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/domain-modeling/skills/domain-modeling/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 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 — the active discipline of challenging terms, inventing edge-case scenarios, and writing the glossary down the moment it crystallises. Merely reading CONTEXT.md for vocabulary is not this skill (that's a one-line habit any skill can do); this skill is for when you're changing the model, not just consuming it.

Why it pays off: an opinionated CONTEXT.md is a persistent, shared language. Once the domain has canonical names, variables/functions/files get named consistently, the codebase is easier for an agent to navigate, and the agent spends fewer tokens on thinking because it has a more concise language. The cost is one glossary entry; the payoff compounds every session.

Adapted from mattpocock/skills (MIT) — the domain-modeling skill, with ADR-recording delegated to this repo's adr skill.

File structure

Most repos have a single context — one CONTEXT.md at the repo root:

/
├── CONTEXT.md          ← the glossary
└── src/

If a CONTEXT-MAP.md exists at the root, the repo has multiple contexts; the map points to where each CONTEXT.md lives (e.g. src/ordering/CONTEXT.md, src/billing/CONTEXT.md) and how they relate. See CONTEXT-FORMAT.md for both shapes.

Create files lazily — only when you have something to write. If no CONTEXT.md exists, create one when the first term is resolved.

Wire it in for future sessions. The payoff — consistent naming and fewer tokens every session — only lands if CONTEXT.md is loaded when future sessions start, not just when this skill fires. When you create CONTEXT.md (or update one and notice it is unreferenced), check the repo's CLAUDE.md: if it does not reference CONTEXT.md, ask the user once whether to wire it in — @CONTEXT.md for a small glossary, or a "consult CONTEXT.md for domain terms" line for a larger one — and add it on yes (don't re-ask on no). If there is no CLAUDE.md at all, mention the option rather than creating one uninvited.

Read the full file on GitHub · 65 lines

Files

What ships with it

2 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. 11d ago First seen · 65 lines · 63 tokens per session scan A 8656d109a8e4

Subscribe to this mod's changes

domain-modeling is a skill published in the GitHub repository jasonm4130/claude-skills (5 stars, last pushed 5d ago), licensed MIT. It adds 63 tokens to every session and 1,216 once invoked, about $0.0003 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 2026-08-31.

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