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 amadeus-dlc/amadeus --skill ddd-domain-model-firstgit clone --depth 1 https://github.com/amadeus-dlc/amadeusWrote 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/amadeus-dlc/amadeus/ddd-domain-model-first)<a href="https://agentmods.dev/skills/amadeus-dlc/amadeus/ddd-domain-model-first"><img src="https://agentmods.dev/badge/skills/amadeus-dlc/amadeus/ddd-domain-model-first/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/amadeus-dlc/amadeus/ddd-domain-model-first"><img src="https://agentmods.dev/badge/skills/amadeus-dlc/amadeus/ddd-domain-model-first.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00072 | $0.00308 |
| Opus 5 | $0.00036 | $0.00154 |
| Sonnet 5 | $0.00014 | $0.00062 |
| Haiku 4.5 | $0.00007 | $0.00031 |
Grade A, and why
ddd-domain-model-first 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 9d 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.
What it actually says
Domain Model First Development
Start with domain behavior you can test without infrastructure. Add delivery and persistence after the model earns them.
Workflow
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Write domain examples as tests using ubiquitous language.
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Implement value objects, entities, aggregates, and domain services until the domain tests pass.
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Add in-memory repositories for use-case tests.
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Implement use cases as application orchestration over aggregate roots and ports.
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Add infrastructure adapters last and verify they satisfy the same port contracts.
Rules
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Do not let ORM annotations or API DTOs define the domain model.
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Use factories and constructors to protect invariants.
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Keep repository interfaces at the application boundary, not inside aggregates.
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Prefer fast tests until the domain behavior is stable.
Detailed Reference
For non-trivial implementation, review, or refactoring work, read references/details.md before giving final guidance. It contains the detailed rules, examples, smells, and migration notes that do not belong in the short invocation body.
Output
Return the implementation order, tests to write, domain API sketch, repository contract, and adapter plan.
What ships with it
1 file 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.
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.
- 9d ago First seen · 40 lines · 72 tokens per session scan A d5b2d8cc2881
ddd-domain-model-first is a skill published in the GitHub repository amadeus-dlc/amadeus (8 stars, last pushed 19d ago), licensed Apache-2.0. It adds 72 tokens to every session and 308 once invoked, about $0.0004 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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