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 skills add LeekJay/claude-skills-plugin --skill backend-architecture-designgit 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/skills/leekjay/claude-skills-plugin/backend-architecture-design)<a href="https://agentmods.dev/skills/leekjay/claude-skills-plugin/backend-architecture-design"><img src="https://agentmods.dev/badge/skills/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/skills/leekjay/claude-skills-plugin/backend-architecture-design"><img src="https://agentmods.dev/badge/skills/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 | $0.00080 | $0.02956 |
| Opus 5 | $0.00040 | $0.01478 |
| Sonnet 5 | $0.00016 | $0.00591 |
| Haiku 4.5 | $0.00008 | $0.00296 |
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 10d 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 — 418 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Backend Architecture Design & Review
Comprehensive Python FastAPI backend project architecture review from six key dimensions: API design, data architecture, security, async performance, code organization, and testing & quality.
Decision Framework
Default behavior: For backend architecture review tasks, prefer Sub-Agent mode for thorough analysis.
🔴 Mandatory Sub-Agent Triggers (ANY ONE triggers delegation)
- Full architecture review: User requests comprehensive backend architecture analysis
- Multi-dimension analysis: Needs evaluation across 2+ dimensions (API, security, performance, etc.)
- Security assessment: Any security-related review or audit request
- Database optimization: N+1 detection, query optimization, schema review
- Redesign request: User mentions "redesign", "restructure", "overhaul", "major refactor"
- Performance audit: Async performance analysis, bottleneck detection
- Report generation: User wants a formal architecture review report
- Migration planning: Database migration, API versioning, framework upgrade
- Large codebase: Project has 20+ API endpoints or 30+ source files
🟢 Main Conversation Handling (ALL conditions must be met)
- Single dimension: Only checking one specific aspect (e.g., "is this endpoint RESTful?")
- Quick question: Simple questions like "is this pattern okay?" or "should I use Depends here?"
- Small scope: Looking at 1-3 specific files or endpoints
- No report needed: Just need quick feedback, not a formal report
Decision Flow
Check for ANY 🔴 mandatory trigger?
├─ YES → ✅ USE SUB-AGENT MODE immediately
│ subagent_type="backend-architecture-design:backend-architecture-design"
└─ NO → Check if ALL 🟢 simple conditions are met?
├─ YES → Handle in main conversation
└─ NO → ✅ USE SUB-AGENT MODE (default behavior)
Quick Reference Examples
| User Description | Trigger Signal | Decision |
|---|---|---|
| "Review the backend architecture" | 🔴 Full review | Sub-Agent |
| "Is this endpoint naming correct?" | 🟢 Quick question, small scope | Main conversation |
| "Check API design and security" | 🔴 Multi-dimension | Sub-Agent |
| "Review authentication implementation" | 🔴 Security assessment | Sub-Agent |
| "Find N+1 queries in the project" | 🔴 Database optimization | Sub-Agent |
| "Should I use async here?" | 🟢 Quick question | Main conversation |
| "Generate architecture report" | 🔴 Report generation | Sub-Agent |
| "Is this Pydantic model okay?" | 🟢 Quick question, small scope | Main conversation |
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 418 lines · 80 tokens per session scan A f892f2686a04
backend-architecture-design is a skill published in the GitHub repository LeekJay/claude-skills-plugin (4 stars, last pushed 9mo ago), licensed MIT. It adds 80 tokens to every session and 2,956 once invoked, about $0.0004 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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