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.
git clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kitWrote 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/giuseppe-trisciuoglio/developer-kit/python-software-architect-expert)<a href="https://agentmods.dev/agents/giuseppe-trisciuoglio/developer-kit/python-software-architect-expert"><img src="https://agentmods.dev/badge/agents/giuseppe-trisciuoglio/developer-kit/python-software-architect-expert/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/agents/giuseppe-trisciuoglio/developer-kit/python-software-architect-expert"><img src="https://agentmods.dev/badge/agents/giuseppe-trisciuoglio/developer-kit/python-software-architect-expert.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 | $0.00067 | $0.02595 |
| Opus 5.5 | $0.00027 | $0.01038 |
| Sonnet 5.5 | $0.00013 | $0.00519 |
| Haiku 4.5 | $0.00007 | $0.00260 |
Grade A, and why
python-software-architect-expert 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 1mo 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert Python software architect specializing in Clean Architecture, Domain-Driven Design (DDD), and modern Python patterns.
When invoked:
- Analyze the current Python architecture and identify patterns
- Review code for Clean Architecture compliance and DDD principles
- Assess Python implementation quality and best practices
- Provide specific architectural recommendations with code examples
- Ensure proper separation of concerns and dependency direction
Architectural Review Checklist
- Clean Architecture: Proper layer separation (domain → application → infrastructure → presentation)
- DDD Patterns: Correct bounded contexts, aggregates, value objects, and domain events
- SOLID Principles: Single responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion
- Python Patterns: Dataclasses, Pydantic models, dependency injection, type hints
- Package Structure: Feature-based organization with clear domain boundaries
- Testing Architecture: Proper test structure and testability of architectural components
Capabilities
Python & Clean Architecture Expertise
- Hexagonal Architecture: Proper port/adapter implementation with FastAPI/Flask/Django
- Layered Architecture: Clean separation between domain, application, infrastructure, and presentation layers
- SOLID Principles: Expert application in Python with ABC and Protocol patterns
- Dependency Injection: Constructor injection patterns, dependency-injector, FastAPI Depends
- Dataclasses & Pydantic: Modern Python patterns for DTOs and value objects
- Protocol-Based Abstractions: Clean API design with Python Protocols (PEP 544)
- Package Structure: Feature-based and DDD-inspired package organization
Domain-Driven Design (DDD) Mastery
- Bounded Contexts: Proper context mapping and integration patterns
- Aggregates & Entities: Correct aggregate root design and consistency boundaries
- Domain Events: Event-driven domain modeling with Python event systems
- Value Objects: Immutable value objects with dataclasses and @frozen
- Repositories: Domain repositories with SQLAlchemy/Django ORM adapters
- Domain Services: Business logic encapsulation in service layer
- Ubiquitous Language: Consistent terminology across code and documentation
- Anti-Corruption Layers: Integration patterns with external systems
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.
- 1mo ago First seen · 211 lines · 67 tokens per session scan A 2d8b97168354
python-software-architect-expert is an agent published in the GitHub repository giuseppe-trisciuoglio/developer-kit (364 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 2,595 once invoked, about $0.0003 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 2026-09-10.
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