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/sequenzia/agent-alchemy/architecture-patternsnpx skills add sequenzia/agent-alchemy --skill architecture-patternsgit clone --depth 1 https://github.com/sequenzia/agent-alchemyWhat 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 | $0.00036 | $0.02484 |
| Opus 5 | $0.00018 | $0.01242 |
| Sonnet 5 | $0.00007 | $0.00497 |
| Haiku 4.5 | $0.00004 | $0.00248 |
Grade A, and why
architecture-patterns 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- architecture-patterns — 88% identical, 151 lines differ
How it starts
The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Patterns
This skill provides knowledge about common architectural patterns to help design feature implementations. Apply these patterns based on the project's existing architecture and the feature's requirements.
Diagram Convention
Architecture visualizations use Mermaid syntax with classDef styling (color:#000 for text readability). When creating architecture visualizations based on these patterns, follow the technical-diagrams skill conventions.
Pattern Selection Guide
Choose patterns based on:
- Existing architecture - Match what's already in use
- Team familiarity - Use patterns the team knows
- Feature requirements - Some patterns fit better for certain features
- Scale requirements - Consider current and future scale
Layered Architecture (N-Tier)
When to use: Most web applications, CRUD operations, clear separation of concerns needed
Layers:
flowchart TD
A["Presentation Layer — UI, API endpoints, controllers"]:::primary
B["Application Layer — Use cases, orchestration, DTOs"]:::secondary
C["Domain Layer — Business logic, entities, rules"]:::success
D["Infrastructure Layer — Database, external services, I/O"]:::neutral
A --> B --> C --> D
classDef primary fill:#dbeafe,stroke:#2563eb,color:#000
classDef secondary fill:#f3e8ff,stroke:#7c3aed,color:#000
classDef success fill:#dcfce7,stroke:#16a34a,color:#000
classDef neutral fill:#f3f4f6,stroke:#6b7280,color:#000
Key rules:
- Dependencies flow downward only
- Each layer only talks to the layer directly below
- Domain layer has no external dependencies
Implementation tips:
- Use interfaces at layer boundaries
- Keep domain logic in the domain layer, not controllers
- Use DTOs to transfer data between layers
MVC (Model-View-Controller)
When to use: Web applications with server-rendered views, simple CRUD apps
Components:
flowchart LR
U1[User]:::neutral -->|input| CT[Controller]:::primary
CT -->|updates| M[Model]:::secondary
M -->|reads| CT
CT -->|renders| V[View]:::success
V -->|response| U2[User]:::neutral
classDef primary fill:#dbeafe,stroke:#2563eb,color:#000
classDef secondary fill:#f3e8ff,stroke:#7c3aed,color:#000
classDef success fill:#dcfce7,stroke:#16a34a,color:#000
classDef neutral fill:#f3f4f6,stroke:#6b7280,color:#000
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 · 350 lines · 36 tokens per session scan A 27faaca63a9f
architecture-patterns is a skill published in the GitHub repository sequenzia/agent-alchemy (43 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 2,484 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
rulesync
Generates and syncs AI rule configuration files (.cursorrules, CLAUDE.md, copilot-instructions.md) across 20+ coding tools from a single source. Use when syncing AI rules, running rulesync commands, importing or generating rule files, or managing shared AI coding configurations.
agent-workspace-linux
Use when a task needs an isolated hidden Linux desktop or workspace-owned browser: GUI app QA, web/browser/shopping automation, sandboxed app observation, or stale workspace cleanup. Routes agent-workspace-linux MCP tools on demand. Does NOT apply to host desktop/Chrome control, generic MCP setup, or pure code/file…
ss-component
Generate a new UI component following the StyleSeed design conventions.
loongsuite-pilot-insight
基于 LoongSuite Pilot / AI Coding Agent 日志生成事件洞察、组织洞察、数据质量、研发效能和 AI Native 使用类 SLS 报表时使用;包含 AI Coding 事件表语义,以及团队报表可选的部门维表、deptuser 组织关系、指标口径和公共 CTE,通常与 sls-dashboard-builder 一起使用。.
map-review
Interactive 4-section code review using monitor, predictor, and evaluator agents plus the user and maintainer role reviewers on current changes. Use when reviewing a diff, PR, or staged work before merge. Do NOT use to plan or implement; use map-plan or map-efficient.
map-fast
Minimal workflow for small, low-risk changes — no planning, no learning.