architecture-design

architecture-design is a command for coding agents from infra403/agentic-engineering-lab. It costs 77 tokens per session (787 once invoked), scanned A, original, MIT.

A command for turning a domain model—the description of the business concepts and their relationships—into a system architecture, technical specification, and design review. It evaluates proposed decisions against stored project knowledge.

In plain words
What is it for?
Use it to choose system structures, define data and API details, and review whether the design is consistent from the original requirements through the technical specification.
Why use it?
It gives a project a reviewed technical plan before implementation starts. This helps expose inconsistencies, missing details, and unsupported design decisions.

Command

Part of the product-design plugin — 3 skills, 4 commands, 10 agents shipped together

Install

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.

agentmods
npx agentmods add commands/infra403/agentic-engineering-lab/architecture-design
Clone the repo
git clone --depth 1 https://github.com/infra403/agentic-engineering-lab

Or install product-design, the plugin that ships this one along with the rest of its 3 skills, 4 commands, 10 agents.

Wrote 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.

agentmods badge for architecture-design

README.md
[![agentmods](https://agentmods.dev/badge/commands/infra403/agentic-engineering-lab/architecture-design.svg)](https://agentmods.dev/commands/infra403/agentic-engineering-lab/architecture-design)
Your own site
<a href="https://agentmods.dev/commands/infra403/agentic-engineering-lab/architecture-design"><img src="https://agentmods.dev/badge/commands/infra403/agentic-engineering-lab/architecture-design.svg" alt="Measured on agentmods" height="20"></a>
Per session 77 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 787 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00077 $0.00787
Opus 5 $0.00039 $0.00394
Sonnet 5 $0.00015 $0.00157
Haiku 4.5 $0.00008 $0.00079

Measured 4d ago against content hash 49cc5aa5601e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 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.

claude-code/plugins/product-design-plugin/commands/architecture-design.md · 67 lines

What it actually says

/architecture-design 命令

从 checkpoint-2(领域模型)出发,完成架构设计、技术规格、设计评审三个阶段。

工作流

阶段 3:架构设计(Architecture Design)

  1. 上下文重置 — 仅依赖 checkpoint-2
  2. 读取 .claude/skills/architecture-design/SKILL.md
  3. 读取 .claude/skills/architecture-design/references/PROTOCOL.md
  4. 加载 .claude/skills/architecture-design/knowledge/architecture-styles.md
  5. 加载 .claude/skills/architecture-design/knowledge/data-systems.md
  6. 如有消息集成需求 → 加载 knowledge/integration-patterns.md(如存在)
  7. 激活 .claude/skills/architecture-design/roles/system-architect.md 作为 Generator
  8. 激活 .claude/skills/architecture-design/roles/reviewer.md 作为 Evaluator
  9. 走收敛循环 GENERATE → EVALUATE → RESOLVE → CHECK
  10. 产出 checkpoint-3-architecture.yaml

阶段 4:技术规格(Technical Specification)

  1. 上下文重置 — 仅依赖 checkpoint-3
  2. 加载 .claude/skills/architecture-design/knowledge/security-patterns.md
  3. 不加载新架构知识 — 引用 checkpoint-3 中已确定的 [K]
  4. 激活 system-architect 作为 Generator
  5. 激活 reviewer 作为 Evaluator
  6. 走收敛循环
  7. 产出 checkpoint-4-specification.yaml

阶段 5:设计评审(Design Review)

  1. 上下文重置 — 依赖 checkpoint-1 到 checkpoint-4
  2. 不预加载知识文件 — 按需 Read 验证 [K] 引用
  3. 激活 reviewer 作为主导角色
  4. 执行四维评审(纵向一致性 + 横向一致性 + 知识锚定 + 盲点检测)
  5. 产出 checkpoint-5-review.yaml

使用方式

/architecture-design              — 从阶段 3 开始完整流程(3→4→5)
/architecture-design 架构设计      — 仅执行阶段 3(需已有 checkpoint-2)
/architecture-design 技术规格      — 仅执行阶段 4(需已有 checkpoint-3)
/architecture-design 设计评审      — 仅执行阶段 5(需已有 checkpoint-1~4)

产出物

  • checkpoint-3-architecture.yaml — 架构方案 + ADR + 技术选型
  • checkpoint-4-specification.yaml — DDL + API 规格 + 部署配置 + 成本估算
  • checkpoint-5-review.yaml — 评审报告 + 追溯矩阵 + 技术债清单
  • 更新 design-progress.json

前置条件

  • checkpoint-2-modeling.yaml 已存在(由 /product-design 领域建模 产出)

后续

完成设计评审后,使用 /implement 命令开始 Spec-Driven Incremental Deploy。

Changes

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.

  1. 4d ago First seen · 67 lines · 77 tokens per session scan A 49cc5aa5601e

Subscribe to this mod's changes

architecture-design is a command published in the GitHub repository infra403/agentic-engineering-lab (5 stars, last pushed 4mo ago), licensed MIT. It adds 77 tokens to every session and 787 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.