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 skills/thangchung/agent-engineering-experiment/software-architecturenpx skills add thangchung/agent-engineering-experiment --skill software-architecturegit clone --depth 1 https://github.com/thangchung/agent-engineering-experimentWrote 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/thangchung/agent-engineering-experiment/software-architecture)<a href="https://agentmods.dev/skills/thangchung/agent-engineering-experiment/software-architecture"><img src="https://agentmods.dev/badge/skills/thangchung/agent-engineering-experiment/software-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 | $0.00042 | $0.00785 |
| Opus 5 | $0.00021 | $0.00392 |
| Sonnet 5 | $0.00008 | $0.00157 |
| Haiku 4.5 | $0.00004 | $0.00078 |
Grade A, and why
software-architecture 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.
This is a copy
89% identical to ddd:software-architecture — 22 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Software Architecture Development Skill
This skill provides guidence for quality focused software development and architecture. It is based on Clean Architecture and Domain Driven Design principles.
Code Style Rules
General Principles
- Early return pattern: Always use early returns when possible, over nested conditions for better readability
- Avoid code duplication through creation of reusable functions and modules
- Decompose long (more than 80 lines of code) components and functions into multiple smaller components and functions. If they cannot be used anywhere else, keep it in the same file. But if file longer than 200 lines of code, it should be split into multiple files.
- Use arrow functions (lambda functions) instead of function declarations when possible
Best Practices
Library-First Approach
- ALWAYS search for existing solutions before writing custom code
- Check npm for existing libraries that solve the problem
- Evaluate existing services/SaaS solutions
- Consider third-party APIs for common functionality
- Use libraries instead of writing your own utils or helpers. For example, use
https://www.nuget.org/packages/Microsoft.Extensions.Http.Resilienceinstead of writing your own retry logic. - When custom code IS justified:
- Specific business logic unique to the domain
- Performance-critical paths with special requirements
- When external dependencies would be overkill
- Security-sensitive code requiring full control
- When existing solutions don't meet requirements after thorough evaluation
Architecture and Design
- Clean Architecture & DDD Principles:
- Follow domain-driven design and ubiquitous language
- Separate domain entities from infrastructure concerns
- Keep business logic independent of frameworks
- Define use cases clearly and keep them isolated
- Naming Conventions:
- AVOID generic names:
utils,helpers,common,shared - USE domain-specific names:
OrderCalculator,UserAuthenticator,InvoiceGenerator - Follow bounded context naming patterns
- Each module should have a single, clear purpose
- AVOID generic names:
- Separation of Concerns:
- Do NOT mix business logic with UI components
- Keep database queries out of controllers
- Maintain clear boundaries between contexts
- Ensure proper separation of responsibilities
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 · 75 lines · 42 tokens per session scan A 649c3bc71288
software-architecture is a skill published in the GitHub repository thangchung/agent-engineering-experiment (24 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 785 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to ddd:software-architecture, differing in 22 lines, and is treated as a copy.
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