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 instructions/duthaho/copilot-instructions/domain-driven-designgit clone --depth 1 https://github.com/duthaho/copilot-instructionsWrote 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/instructions/duthaho/copilot-instructions/domain-driven-design)<a href="https://agentmods.dev/instructions/duthaho/copilot-instructions/domain-driven-design"><img src="https://agentmods.dev/badge/instructions/duthaho/copilot-instructions/domain-driven-design.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 | $0.01775 | $0.01775 |
| Opus 5 | $0.00888 | $0.00888 |
| Sonnet 5 | $0.00355 | $0.00355 |
| Haiku 4.5 | $0.00178 | $0.00178 |
Grade A, and why
copilot-instructions domain-driven-design.instructions.md 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 4d 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 — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain-Driven Design Instructions
Overview
This instruction file enforces Domain-Driven Design (DDD) tactical patterns in Python projects.
Building Blocks
1. Entities
Objects with a distinct identity that persists over time.
from dataclasses import dataclass
from typing import List
from uuid import UUID, uuid4
@dataclass
class Customer:
id: UUID
email: str
name: str
_version: int = 0
@classmethod
def create(cls, email: str, name: str) -> 'Customer':
"""Factory method for entity creation"""
return cls(id=uuid4(), email=email, name=name)
def change_email(self, new_email: str) -> None:
"""Domain behavior"""
if '@' not in new_email:
raise ValueError("Invalid email format")
self.email = new_email
self._version += 1
2. Value Objects
Immutable objects defined by their attributes, not identity.
from dataclasses import dataclass
from typing import Self
@dataclass(frozen=True)
class Money:
amount: float
currency: str
def __post_init__(self):
if self.amount < 0:
raise ValueError("Amount cannot be negative")
if not self.currency:
raise ValueError("Currency is required")
def add(self, other: 'Money') -> 'Money':
if self.currency != other.currency:
raise ValueError("Cannot add different currencies")
return Money(self.amount + other.amount, self.currency)
def multiply(self, factor: float) -> 'Money':
return Money(self.amount * factor, self.currency)
3. Aggregates
A cluster of entities and value objects with a root entity.
from dataclasses import dataclass, field
from typing import List
from datetime import datetime
@dataclass
class OrderItem:
product_id: str
quantity: int
price: Money
@dataclass
class Order:
"""Aggregate Root"""
id: UUID
customer_id: UUID
items: List[OrderItem] = field(default_factory=list)
status: str = "PENDING"
created_at: datetime = field(default_factory=datetime.utcnow)
def add_item(self, product_id: str, quantity: int, price: Money) -> None:
"""Business invariant: can't modify confirmed orders"""
if self.status != "PENDING":
raise ValueError("Cannot modify confirmed order")
# Check if item exists, update quantity
for item in self.items:
if item.product_id == product_id:
item.quantity += quantity
return
self.items.append(OrderItem(product_id, quantity, price))
def confirm(self) -> None:
"""State transition with validation"""
if not self.items:
raise ValueError("Cannot confirm empty order")
if self.status != "PENDING":
raise ValueError("Order already confirmed")
self.status = "CONFIRMED"
def calculate_total(self) -> Money:
"""Aggregate consistency"""
if not self.items:
return Money(0, "USD")
total = self.items[0].price.multiply(self.items[0].quantity)
for item in self.items[1:]:
total = total.add(item.price.multiply(item.quantity))
return total
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.
- 4d ago First seen · 313 lines · 1,775 tokens per session scan A 2c6d549e5a95
copilot-instructions domain-driven-design.instructions.md is an instructions file published in the GitHub repository duthaho/copilot-instructions (7 stars, last pushed 10mo ago), licensed MIT. It adds 1,775 tokens to every session, about $0.0089 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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