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 commands/ruslan-korneev/claude-plugins/designgit clone --depth 1 https://github.com/ruslan-korneev/claude-pluginsWrote 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/commands/ruslan-korneev/claude-plugins/design)<a href="https://agentmods.dev/commands/ruslan-korneev/claude-plugins/design"><img src="https://agentmods.dev/badge/commands/ruslan-korneev/claude-plugins/design.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 | $0.00013 | $0.01703 |
| Opus 5 | $0.00006 | $0.00851 |
| Sonnet 5 | $0.00003 | $0.00341 |
| Haiku 4.5 | $0.00001 | $0.00170 |
Grade A, and why
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 3d 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 — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Command /architect:design
Interactive architecture design workflow for new projects or major features.
Instructions
Step 1: Gather Requirements
Use AskUserQuestion to understand the project scope:
Questions to ask:
- What is the primary purpose of this system?
- What are the main use cases / user stories?
- Expected scale (users, requests/sec, data volume)?
- What external systems need integration (databases, APIs, queues)?
- Any specific constraints (tech stack, compliance, team expertise)?
Step 2: Analyze Existing Codebase (if applicable)
If this is a new module in existing project:
- Check existing structure with
Glob - Identify patterns already in use
- Ensure consistency with existing modules
Step 3: Choose Architecture Style
Based on requirements, recommend one of:
| Style | When to Use |
|---|---|
| Modular Monolith | Small team (<10), uncertain requirements, MVP |
| Microservices | Large team, independent scaling needs, different tech stacks |
| Event-Driven | Real-time processing, loose coupling between modules |
| Layered (Clean/Hexagonal) | Complex business logic, long-term maintainability |
Step 4: Design Module Structure
For FastAPI + SQLAlchemy projects, propose structure:
src/
├── core/
│ ├── __init__.py
│ ├── config.py # Settings with pydantic-settings
│ ├── database.py # AsyncSession setup
│ ├── container.py # DI container
│ ├── dependencies.py # FastAPI dependencies
│ ├── exceptions.py # Base exceptions
│ └── repositories.py # BaseRepository
│
├── modules/
│ └── {{ name }}/
│ ├── __init__.py # Public API exports
│ ├── models.py # SQLAlchemy models
│ ├── dto.py # Pydantic DTOs
│ ├── repositories.py # Data access layer
│ ├── services.py # Business logic
│ ├── routers.py # HTTP endpoints
│ └── events.py # Domain events (if needed)
│
├── shared/
│ ├── protocols.py # Shared interfaces
│ └── events.py # Event bus
│
└── main.py # FastAPI app entry point
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.
- 3d ago First seen · 314 lines · 13 tokens per session scan A 29732845010b
design is a command published in the GitHub repository ruslan-korneev/claude-plugins (4 stars, last pushed 6mo ago), licensed MIT. It adds 13 tokens to every session and 1,703 once invoked, about $0.0001 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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excel-to-numbers
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