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/infra403/agentic-engineering-lab/architecture-designnpx skills add infra403/agentic-engineering-lab --skill architecture-designgit clone --depth 1 https://github.com/infra403/agentic-engineering-labWrote 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/infra403/agentic-engineering-lab/architecture-design)<a href="https://agentmods.dev/skills/infra403/agentic-engineering-lab/architecture-design"><img src="https://agentmods.dev/badge/skills/infra403/agentic-engineering-lab/architecture-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 5.1 | $0.00000 | $0.02364 |
| Opus 5 | $0.00000 | $0.01182 |
| Sonnet 5 | $0.00000 | $0.00473 |
| Haiku 4.5 | $0.00000 | $0.00236 |
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 5d 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Design — 架构设计与技术规格
核心理念
知识先行，角色后置。
每个架构决策必须引用 knowledge/ 中的决策框架 [K]，不凭直觉。
生成（Generator）和评估（Evaluator）由不同角色执行。
文件结构
.claude/skills/architecture-design/
├── SKILL.md ← 你在这里
├── knowledge/architecture-styles.md ← 架构风格决策框架（分层/模块化单体/微服务/事件驱动/CQRS）
├── knowledge/data-systems.md ← 数据系统决策框架（DB选型/消息队列/缓存/一致性）
├── knowledge/security-patterns.md ← 安全模式决策框架（认证/授权/加密/API安全）
├── roles/system-architect.md ← Generator: 架构设计 + 技术选型
├── roles/reviewer.md ← Evaluator: 对抗性评估
├── references/PROTOCOL.md ← 反 LLM 缺陷协议（全程约束，与其他 skill 共享）
└── templates/
├── checkpoint.md ← 阶段检查点格式
└── progress.md ← design-progress.json 格式
前置条件
本 skill 覆盖阶段 3-5，输入是 domain-modeling 的 checkpoint-2-modeling.yaml。
如果尚未完成领域建模，建议先使用 /product-design 领域建模。
阶段概览
| 阶段 | 名称 | 输入 | 产出 | 知识加载 |
|---|---|---|---|---|
| 3 | 架构设计 | checkpoint-2 | checkpoint-3-architecture.yaml | architecture-styles.md + data-systems.md（+ integration-patterns.md 如有消息集成） |
| 4 | 技术规格 | checkpoint-3 | checkpoint-4-specification.yaml | security-patterns.md（按需引用 checkpoint 中已确定的 [K]） |
| 5 | 设计评审 | checkpoint-1~4 | checkpoint-5-review.yaml | 按需 Read 验证特定 [K] 引用原文 |
阶段 3：架构设计
启动步骤
- 读取本文件 — 了解工作流
- 读取
references/PROTOCOL.md— 了解反 LLM 缺陷约束 - 上下文重置 — 声明"阶段 3 开始，以下仅依赖 checkpoint-2"
- 加载知识文件：
knowledge/architecture-styles.md— 架构风格决策框架knowledge/data-systems.md— 数据系统决策框架- 如 checkpoint-2 中有消息集成需求 → 额外加载
knowledge/integration-patterns.md（如存在）
- 走收敛循环 — GENERATE → EVALUATE → RESOLVE → CHECK
- 产出 — checkpoint-3-architecture.yaml
Sprint 契约
- 输入： checkpoint-2-modeling.yaml（领域建模产出）
- 产出： 架构方案 + ADR + 技术选型 + checkpoint-3-architecture.yaml
- 收敛标准： Rubric 每项 ≥ 7/10
- Generator：
roles/system-architect.md - Evaluator：
roles/reviewer.md（或独立 Subagent）
GENERATE 产出清单
What ships with it
8 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.
- 5d ago First seen · 215 lines · 0 tokens per session scan A f4f29b6d3675
architecture-design is a skill published in the GitHub repository infra403/agentic-engineering-lab (5 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,364 tokens. 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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