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/clean-architecturegit 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/clean-architecture)<a href="https://agentmods.dev/instructions/duthaho/copilot-instructions/clean-architecture"><img src="https://agentmods.dev/badge/instructions/duthaho/copilot-instructions/clean-architecture.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 | $0.01096 | $0.01096 |
| Opus 5 | $0.00548 | $0.00548 |
| Sonnet 5 | $0.00219 | $0.00219 |
| Haiku 4.5 | $0.00110 | $0.00110 |
Grade A, and why
copilot-instructions clean-architecture.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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clean Architecture Instructions
Overview
This instruction file enforces Clean Architecture principles in Python projects to ensure separation of concerns, testability, and maintainability.
Layer Structure
1. Domain Layer (Core/Entities)
- Contains business entities, value objects, and domain logic
- No dependencies on external frameworks or libraries (except standard library)
- Pure Python classes with business rules
- Located in:
domain/orcore/
Example:
from dataclasses import dataclass
from typing import Optional
from datetime import datetime
@dataclass(frozen=True)
class OrderId:
value: str
@dataclass
class Order:
id: OrderId
customer_id: str
created_at: datetime
total_amount: float
def apply_discount(self, percentage: float) -> 'Order':
"""Business logic stays in the domain"""
if not 0 <= percentage <= 100:
raise ValueError("Invalid discount percentage")
new_total = self.total_amount * (1 - percentage / 100)
return Order(self.id, self.customer_id, self.created_at, new_total)
2. Application Layer (Use Cases)
- Contains application-specific business rules
- Orchestrates the flow of data between layers
- Uses interfaces/protocols for external dependencies
- Located in:
application/oruse_cases/
Example:
from typing import Protocol
from domain.order import Order, OrderId
class OrderRepository(Protocol):
def get_by_id(self, order_id: OrderId) -> Optional[Order]:
...
def save(self, order: Order) -> None:
...
class ApplyDiscountUseCase:
def __init__(self, order_repository: OrderRepository):
self._repository = order_repository
def execute(self, order_id: OrderId, discount: float) -> Order:
order = self._repository.get_by_id(order_id)
if not order:
raise ValueError(f"Order {order_id.value} not found")
discounted_order = order.apply_discount(discount)
self._repository.save(discounted_order)
return discounted_order
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 · 188 lines · 1,096 tokens per session scan A a8f48d239cd6
copilot-instructions clean-architecture.instructions.md is an instructions file published in the GitHub repository duthaho/copilot-instructions (7 stars, last pushed 10mo ago), licensed MIT. It adds 1,096 tokens to every session, about $0.0055 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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