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/telagod/code-abyss/designing-architecturesnpx skills add telagod/code-abyss --skill designing-architecturesgit clone --depth 1 https://github.com/telagod/code-abyssWrote 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/telagod/code-abyss/designing-architectures)<a href="https://agentmods.dev/skills/telagod/code-abyss/designing-architectures"><img src="https://agentmods.dev/badge/skills/telagod/code-abyss/designing-architectures.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 | $0.00043 | $0.00627 |
| Opus 5 | $0.00022 | $0.00313 |
| Sonnet 5 | $0.00009 | $0.00125 |
| Haiku 4.5 | $0.00004 | $0.00063 |
Grade A, and why
designing-architectures 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.
What it actually says
阵法秘典 · 架构设计
判断先于执行：决定「是否做 / 选什么 / 如何取舍」（栈、方案、架构、权衡）前，先读领域判断内核
skills/_kernel/backend/SKILL.md——它管 judgment，本秘典管 execution；冲突时以内核判断为准。
路由
| 意图 | 秘典 | 核心 |
|---|---|---|
| API 设计 | api-design | RESTful、GraphQL、gRPC、OpenAPI |
| 安全架构 | security-arch | 零信任、IAM、威胁建模、合规 |
| 云原生 | cloud-native | 容器、K8s、Serverless、Service Mesh |
| 消息队列 | message-queue | Kafka、RabbitMQ、事件驱动、CQRS |
| 缓存 | caching | Redis、CDN、一致性、穿透/雪崩 |
决策矩阵
| 决策点 | 选项 A | 选项 B | 判据 |
|---|---|---|---|
| 同步 vs 异步 | REST/gRPC 同步调用 | 消息队列异步 | 延迟敏感→同步；解耦/削峰→异步 |
| 单体 vs 微服务 | 单体(模块化) | 微服务 | 团队<5→单体；独立部署需求→微服务 |
| SQL vs NoSQL | RDBMS | MongoDB/DynamoDB | 强一致/关联→SQL；灵活 schema/高吞吐→NoSQL |
| 缓存策略 | Cache-Aside | Write-Through | 读多写少→Aside；写后即读→Through |
| API 风格 | REST | GraphQL | 资源型 CRUD→REST；复杂聚合/前端驱动→GraphQL |
| 事件架构 | 事件通知 | 事件溯源(ES) | 简单解耦→通知；审计/回溯→ES+CQRS |
原则
SOLID: S单一职责 O开闭 L里氏替换 I接口隔离 D依赖倒置
分布式: CAP定理 | BASE最终一致 | 幂等设计
安全: 纵深防御 | 最小权限 | 零信任
扩展: 水平优先 | 无状态服务 | 数据分片
What ships with it
5 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.
- 4d ago First seen · 41 lines · 43 tokens per session scan A 07b0dd8c4ed0
designing-architectures is a skill published in the GitHub repository telagod/code-abyss (239 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 627 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.
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