Ling: Skill for Claude Code

.agents/skills/architecture/SKILL.md

architecture is a skill for Claude Code from MisonL/Ling. It costs 59 tokens per session (643 once invoked), scanned A, a copy of architecture, MIT.

A framework for choosing and recording software architecture decisions. It starts from requirements, weighs trade-offs, and can capture the reasoning in an ADR, or Architecture Decision Record.

In plain words
What is it for?
Use it when analysing system design, selecting patterns, or documenting choices about databases, APIs, and deployment architecture.
Why use it?
It provides a repeatable way to compare design options and preserve why a decision was made.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is MisonL/Ling's own configuration. It tells Claude Code how to work on Ling itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Ling configures →

Reuse

Borrowing it

Nothing to install: this file belongs to MisonL/Ling. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/MisonL/Ling/main/.agents/skills/architecture/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/MisonL/Ling

Made for: Claude Code.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/misonl/ling/architecture/github.svg)](https://agentmods.dev/skills/misonl/ling/architecture)
Your own site
<a href="https://agentmods.dev/skills/misonl/ling/architecture"><img src="https://agentmods.dev/badge/skills/misonl/ling/architecture/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for architecture

Your own site · 80×15
<a href="https://agentmods.dev/skills/misonl/ling/architecture"><img src="https://agentmods.dev/badge/skills/misonl/ling/architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 643 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 81% copy Near-identical to another mod 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 5.1 $0.00059 $0.00643
Opus 5.5 $0.00024 $0.00257
Sonnet 5.5 $0.00012 $0.00129
Haiku 4.5 $0.00006 $0.00064

Measured 1mo ago against content hash 99e7f5aa5159, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

architecture 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 1mo 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.

Origin

This is a copy

81% identical to architecture — 76 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/architecture/SKILL.md · 58 lines

What it actually says

Architecture Decision Framework(架构决策框架)

"Requirements drive architecture. Trade-offs inform decisions. ADRs capture rationale."(需求驱动架构,权衡决定结论,ADR 记录依据。)

Selective Reading Rule(选择性阅读规则)

Read ONLY files relevant to the request(仅阅读与请求相关的文档)! Check the content map, find what you need(查阅内容地图,找到所需信息)。

File(文件) Description(描述) When to Read(阅读时机)
context-discovery.md Questions to ask, project classification(提问列表、项目分类) Starting architecture design(开始架构设计)
trade-off-analysis.md ADR templates, trade-off framework(ADR 模板、权衡分析框架) Documenting decisions(记录决策)
pattern-selection.md Decision trees, anti-patterns(决策树、反模式) Choosing patterns(选择模式)
examples.md MVP, SaaS, Enterprise examples(示例) Reference implementations(参考实现)
patterns-reference.md Quick lookup for patterns(模式速查) Pattern comparison(模式对比)

Skill(技能) Use For(用途)
@[skills/database-design] Database schema design(数据库模式设计)
@[skills/api-patterns] API design patterns(API 设计模式)
@[skills/deployment-procedures] Deployment architecture(部署架构)

Core Principle(核心原则)

"Simplicity is the ultimate sophistication."(至简即至繁)

  • Start simple(从简单开始)。
  • Add complexity ONLY when proven necessary(仅在必要时增加复杂性)。
  • You can always add patterns later(随时可补充模式)。
  • Removing complexity is MUCH harder than adding it(移除复杂性远比增加难)。

Validation Checklist(验证检查清单)

Before finalizing architecture(最终确定架构之前):

  • Requirements clearly understood(需求已清晰理解)。
  • Constraints identified(约束条件已明确)。
  • Each decision has trade-off analysis(每项决策有权衡分析)。
  • Simpler alternatives considered(已考虑更简单替代方案)。
  • ADRs written for significant decisions(重大决策已编写 ADR)。
  • Team expertise matches chosen patterns(团队能力与模式匹配)。

Files

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.

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. 1mo ago First seen · 58 lines · 59 tokens per session scan A 99e7f5aa5159

Subscribe to this mod's changes

architecture is a skill published in the GitHub repository MisonL/Ling (8 stars, last pushed 7mo ago), licensed MIT. It adds 59 tokens to every session and 643 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 81% identical to architecture, differing in 76 lines, and is treated as a copy.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens