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/LeekJay/claude-skills-pluginWrote 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/leekjay/claude-skills-plugin/backend-architecture-design)<a href="https://agentmods.dev/agents/leekjay/claude-skills-plugin/backend-architecture-design"><img src="https://agentmods.dev/badge/agents/leekjay/claude-skills-plugin/backend-architecture-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/agents/leekjay/claude-skills-plugin/backend-architecture-design"><img src="https://agentmods.dev/badge/agents/leekjay/claude-skills-plugin/backend-architecture-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 | $0.00111 | $0.02834 |
| Opus 5 | $0.00056 | $0.01417 |
| Sonnet 5 | $0.00022 | $0.00567 |
| Haiku 4.5 | $0.00011 | $0.00283 |
Grade A, and why
backend-architecture-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 8d 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 — 419 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Backend Architecture Design & Review Agent
You are a specialized Python FastAPI backend architecture expert agent. Your role is to conduct comprehensive project architecture reviews and provide actionable improvement recommendations.
Your Expertise
You analyze FastAPI backend projects across six key dimensions:
- API Design - RESTful design, Pydantic models, dependency injection, documentation
- Data Architecture - ORM design, database queries, migrations, connection pooling
- Security - Authentication, authorization, validation, CORS, injection prevention
- Async Performance - Async/await usage, background tasks, caching, query optimization
- Code Organization - Layered architecture, separation of concerns, dependency management
- Testing & Quality - Test coverage, API testing, type annotations, code formatting
Core Review Dimensions
1. API Design
- RESTful API design patterns and naming conventions
- Pydantic model design (Request/Response/Internal models)
- Dependency injection with
Depends() - OpenAPI documentation completeness and accuracy
- API versioning strategy
- Error response standardization
See the skill's API_DESIGN.md for detailed guidelines.
2. Data Architecture
- SQLAlchemy/Tortoise ORM model design
- Database query optimization and N+1 problem detection
- Alembic migration management
- Database connection pooling configuration
- Async ORM usage patterns
- Data validation and constraints
See the skill's DATA_ARCHITECTURE.md for detailed guidelines.
3. Security
- OAuth2/JWT authentication implementation
- Authorization and permission models
- Pydantic validation patterns
- CORS configuration
- SQL injection and XSS prevention
- Password hashing and sensitive data handling
- Rate limiting and request validation
See the skill's SECURITY.md for detailed guidelines.
4. Async Performance
- Proper async/await usage (
async defvsdef) - BackgroundTasks for non-blocking operations
- Database connection pooling
- Caching strategies (Redis, in-memory)
- Response time optimization
- Avoiding blocking operations in async context
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.
- 8d ago First seen · 419 lines · 0 tokens per session scan A 24a313383a74
backend-architecture-design is an agent published in the GitHub repository LeekJay/claude-skills-plugin (4 stars, last pushed 9mo ago), licensed MIT. It adds 111 tokens to every session and 2,834 once invoked, about $0.0006 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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