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.
npx skills add nimadorostkar/Claude-Skills-collection --skill domain-modelinggit clone --depth 1 https://github.com/nimadorostkar/Claude-Skills-collectionWrote 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.
[](https://agentmods.dev/skills/nimadorostkar/claude-skills-collection/domain-modeling)<a href="https://agentmods.dev/skills/nimadorostkar/claude-skills-collection/domain-modeling"><img src="https://agentmods.dev/badge/skills/nimadorostkar/claude-skills-collection/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.
<a href="https://agentmods.dev/skills/nimadorostkar/claude-skills-collection/domain-modeling"><img src="https://agentmods.dev/badge/skills/nimadorostkar/claude-skills-collection/domain-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.01016 |
| Opus 5 | $0.00017 | $0.00508 |
| Sonnet 5 | $0.00007 | $0.00203 |
| Haiku 4.5 | $0.00003 | $0.00102 |
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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain Modeling
Purpose
Make the code speak the business's language precisely. Most long-lived complexity comes from a mismatch between the words the business uses and the structures the code has — where "user" means four different things and none of them are named.
When to Use
- The same concept has different names in code, in the database, and in conversation.
- A single model class is used by three subsystems that each need something different from it.
- New requirements consistently require changes in unrelated modules.
- Designing a new subsystem in a domain with real business rules.
Capabilities
- Ubiquitous language: a shared, enforced vocabulary between code and domain experts.
- Modeling entities, value objects, and aggregates with clear invariants.
- Bounded-context identification and mapping.
- Replacing primitive obsession with domain types.
- Making illegal states unrepresentable.
Inputs
- The domain vocabulary, ideally from the people who use it daily.
- The current model and where it hurts.
- The business rules, especially the ones that are currently enforced by convention.
Outputs
- A glossary of terms, each with exactly one meaning.
- Domain types that carry their invariants.
- Named bounded contexts and the translation between them.
Workflow
- Collect the vocabulary — Listen to how the domain experts speak. When they say "a subscription lapses", the code should have a
lapse()and not astatus = 3. - Find the collisions — The same word meaning two things is the highest-value finding. "Order" in fulfilment and "Order" in billing are usually different concepts.
- Draw the context boundaries — Where the meaning of a word changes, a context boundary exists. Draw it explicitly and translate at the edge.
- Replace primitives with types —
Money,EmailAddress,SubscriptionId. A type that validates on construction cannot be invalid downstream. - Move invariants into the model — If a rule is currently enforced in a controller, the model permits an invalid state. Move it.
- Rename ruthlessly — Code that uses a word the business does not use is code the business cannot verify.
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.
- 12d ago First seen · 96 lines · 35 tokens per session scan A 0787912f1c8d
domain-modeling is a skill published in the GitHub repository nimadorostkar/Claude-Skills-collection (26 stars, last pushed 24d ago), licensed MIT. It adds 35 tokens to every session and 1,016 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.
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