domain-modeling

domain-modeling is a skill for Claude Code, Codex from evist0/okf-matt-skills. It costs 43 tokens per session (1,042 once invoked), scanned A, original, MIT.

A method for recording and refining the key terms, business concepts, edge cases, and architectural decisions of a project in a structured knowledge folder.

In plain words
What is it for?
It is for defining domain terminology, documenting decisions, testing concepts against edge cases, and updating the project's knowledge files as the model changes.
Why use it?
It keeps the team's shared understanding aligned with the code instead of leaving important definitions and decisions scattered or implicit.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for defining domain terminology, documenting decisions, testing concepts against edge cases, and updating the project's knowledge files as the model changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/evist0/okf-matt-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 evist0/okf-matt-skills --skill domain-modeling
Clone the repo
git clone --depth 1 https://github.com/evist0/okf-matt-skills

Made for: Claude Code, Codex.

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/evist0/okf-matt-skills/domain-modeling/github.svg)](https://agentmods.dev/skills/evist0/okf-matt-skills/domain-modeling)
Your own site
<a href="https://agentmods.dev/skills/evist0/okf-matt-skills/domain-modeling"><img src="https://agentmods.dev/badge/skills/evist0/okf-matt-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/evist0/okf-matt-skills/domain-modeling"><img src="https://agentmods.dev/badge/skills/evist0/okf-matt-skills/domain-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,042 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 $0.00043 $0.01042
Opus 5 $0.00022 $0.00521
Sonnet 5 $0.00009 $0.00208
Haiku 4.5 $0.00004 $0.00104

Measured 11d ago against content hash 0eb1cb2cad23, 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.

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.

domain-modeling/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 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. (Merely reading the knowledge bundle's glossary 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.)

File structure

The domain model lives in an Open Knowledge Format (OKF) knowledge bundle at knowledge/ in the repo root. Most repos have a single context:

knowledge/
├── index.md              ← bundle map (reserved: no frontmatter)
├── log.md                ← change history, newest first (reserved: no frontmatter)
├── glossary/             ← one file per term (the glossary)
│   ├── index.md
│   ├── order.md
│   └── customer.md
└── adr/                  ← one file per decision
    ├── index.md
    ├── adr-0001-event-sourced-orders.md
    └── adr-0002-postgres-for-write-model.md

For multiple bounded contexts, each context is a subdirectory inside the one bundle (knowledge/ordering/glossary/, knowledge/billing/glossary/, …) and knowledge/index.md is the context map. See CONTEXT-FORMAT.md.

Create files lazily — only when you have something to write. If no knowledge/glossary/ exists, create it when the first term is resolved. If no knowledge/adr/ exists, create it when the first ADR is needed. Whenever knowledge changes, update the concept AND append to knowledge/log.md.

Extending the bundle (new concept categories)

glossary/ and adr/ are the two categories every bundle has; spec/ (written by /to-spec) is the third canonical one. But OKF is an open format — type is a free field and the bundle is not limited to a fixed set of folders. When you meet a durable domain entity that genuinely fits none of them — a recurring kind of thing the project needs recorded in its own right — a new concept category is legitimate.

Read the full file on GitHub · 77 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 · 77 lines · 43 tokens per session scan A 0eb1cb2cad23

Subscribe to this mod's changes

domain-modeling is a skill published in the GitHub repository evist0/okf-matt-skills (13 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 1,042 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 2026-08-30.

Related

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okf

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openlore-brainstorm

Transform a feature idea into an annotated story using a Domain Sketch or Constrained Option Tree. Use when asked to brainstorm, explore, or shape a feature before implementation.

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Apply a confirmed .openlore/refactor-plan.md with a test gate after each change. Use when asked to execute or continue an OpenLore refactoring plan.

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openlore-debug

Debug with OpenLore structural context, an explicit root-cause hypothesis, and RED/GREEN verification. Use when a bug, failure, or regression needs diagnosis and repair.

clay-good/OpenLore · 39 tokens

validate

Check that an Open Knowledge Format (OKF) bundle is conformant with the v0.2 spec (§11). Use when asked to validate, lint, or check an OKF bundle, or before committing changes to one. Runs a deterministic Python checker — not an eyeball pass. Also migrates a v0.1 bundle to v0.2 in place with --migrate.

scaccogatto/okf-skills · 82 tokens

visualize

Render an Open Knowledge Format (OKF) bundle as a single self-contained, interactive HTML graph (viz.html) — concepts as nodes coloured by type and sized by body length, markdown links and bundle-internal sources as edges, a wiki-style detail panel with rendered markdown, v0.2 trust/lifecycle/provenance metadata, and…

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