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 mb-mal/claudecode-dev-skills --skill domain-driven-designgit clone --depth 1 https://github.com/mb-mal/claudecode-dev-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/skills/mb-mal/claudecode-dev-skills/domain-driven-design)<a href="https://agentmods.dev/skills/mb-mal/claudecode-dev-skills/domain-driven-design"><img src="https://agentmods.dev/badge/skills/mb-mal/claudecode-dev-skills/domain-driven-design/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/mb-mal/claudecode-dev-skills/domain-driven-design"><img src="https://agentmods.dev/badge/skills/mb-mal/claudecode-dev-skills/domain-driven-design.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 | $0.00050 | $0.00687 |
| Opus 5.5 | $0.00020 | $0.00275 |
| Sonnet 5.5 | $0.00010 | $0.00137 |
| Haiku 4.5 | $0.00005 | $0.00069 |
Grade A, and why
domain-driven-design 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 2mo 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain-Driven Design
Apply DDD principles to create architecture that reflects business reality.
Workflow
- Gather domain context: Ask the user to describe key business entities, their relationships, and core business rules
- Define bounded contexts: Identify distinct subdomains and their boundaries
- Model entities and value objects: Create domain classes that encapsulate business logic
- Establish aggregates: Group related entities with clear aggregate roots
- Generate project structure: Create directories and files reflecting the domain model
Prompting for context
When user provides incomplete domain information, ask:
- What are the main entities in your domain? (e.g., Order, Customer, Product)
- What states or statuses do these entities have?
- What business rules govern transitions between states?
- How do entities relate to each other?
Output structure
src/
├── domain/
│ ├── entities/
│ │ └── [entity_name].py
│ ├── value_objects/
│ │ └── [value_object_name].py
│ ├── aggregates/
│ │ └── [aggregate_name].py
│ └── services/
│ └── [domain_service].py
├── application/
│ └── use_cases/
└── infrastructure/
└── repositories/
Example prompt
User: "Create architecture for an e-commerce system"
Response approach:
- Ask about key entities (Order, Customer, Product, Cart)
- Clarify business rules (order lifecycle, inventory management)
- Generate domain model with entities, value objects, and services
- Create project structure reflecting bounded contexts
Entity template
from dataclasses import dataclass
from enum import Enum
from typing import List
from datetime import datetime
class OrderStatus(Enum):
DRAFT = "draft"
CONFIRMED = "confirmed"
SHIPPED = "shipped"
DELIVERED = "delivered"
@dataclass
class Order:
id: str
customer_id: str
items: List["OrderItem"]
status: OrderStatus
created_at: datetime
def confirm(self) -> None:
if self.status != OrderStatus.DRAFT:
raise ValueError("Only draft orders can be confirmed")
if not self.items:
raise ValueError("Cannot confirm empty order")
self.status = OrderStatus.CONFIRMED
def ship(self) -> None:
if self.status != OrderStatus.CONFIRMED:
raise ValueError("Only confirmed orders can be shipped")
self.status = OrderStatus.SHIPPED
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.
- 2mo ago First seen · 97 lines · 50 tokens per session scan A ba6672a81475
domain-driven-design is a skill published in the GitHub repository mb-mal/claudecode-dev-skills (5 stars, last pushed 9mo ago), licensed Apache-2.0. It adds 50 tokens to every session and 687 once invoked, about $0.0002 per session on Opus 5.5. 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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