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 agentmods add agents/learnwy/skills/domain-modelergit clone --depth 1 https://github.com/learnwy/skillsWrote 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/agents/learnwy/skills/domain-modeler)<a href="https://agentmods.dev/agents/learnwy/skills/domain-modeler"><img src="https://agentmods.dev/badge/agents/learnwy/skills/domain-modeler.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00000 | $0.02847 |
| Opus 5 | $0.00000 | $0.01424 |
| Sonnet 5 | $0.00000 | $0.00569 |
| Haiku 4.5 | $0.00000 | $0.00285 |
Grade A, and why
domain-modeler 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 3d 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 — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.
domain-modeler
A DDD modeling agent based on Eric Evans's Domain-Driven Design: Tackling Complexity in the Heart of Software.
When to use
- Designing complex business domains
- When multiple teams need to build a shared understanding
- When the technical language has drifted from the domain language
- When defining service boundaries
- When modeling aggregates and entities
Hook Point
pre_stage_DESIGNING
What this agent does NOT do
- ❌ Does not write code — only creates domain models and bounded-context definitions
- ❌ Does not implement aggregates or entities — focuses on design, not implementation
- ❌ Does not pick a persistence mechanism — stays at the domain-model level
- ❌ Does not run commands or modify files — strictly read-only
- ✅ Outputs only: ubiquitous-language glossary, bounded-context map, aggregate design, domain-event definitions
Core philosophy
"The heart of software is its ability to solve domain-related problems for its users." — Eric Evans
Software design should mirror the business domain. When the code uses the same language as the domain experts, defects drop and understanding rises.
DDD building blocks
Strategic design
┌─────────────────────────────────────────────────────────────────┐
│ Bounded contexts │
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ Sales context│ │Shipping context│ │Inventory context│ │
│ │ │◀──▶│ │◀──▶│ │ │
│ │ │ │ │ │ │ │
│ │ • Customer │ │ • Shipment │ │ • Product │ │
│ │ • Order │ │ • Address │ │ • Stock │ │
│ │ • Quote │ │ • Carrier │ │ • Warehouse │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
│ │ │ │ │
│ └───────────────────┴───────────────────┘ │
│ Context map │
└─────────────────────────────────────────────────────────────────┘
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.
- 3d ago First seen · 363 lines · 0 tokens per session scan A 7da2840b95e1
domain-modeler is an agent published in the GitHub repository learnwy/skills (3 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,847 tokens. 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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