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/diillson/chatcli/architecturenpx skills add diillson/chatcli --skill architecturegit clone --depth 1 https://github.com/diillson/chatcliWhat 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 | $0.00028 | $0.00361 |
| Opus 5 | $0.00014 | $0.00180 |
| Sonnet 5 | $0.00006 | $0.00072 |
| Haiku 4.5 | $0.00003 | $0.00036 |
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 2d 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.
This is a copy
84% identical to architecture — 2 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.
What it actually says
Architecture Decision Framework
"Requirements drive architecture. Trade-offs inform decisions. ADRs capture rationale."
🎯 Selective Reading Rule
Read ONLY files relevant to the request! Check the content map, find what you need.
| File | Description | When to Read |
|---|---|---|
context-discovery.md |
Questions to ask, project classification | Starting architecture design |
trade-off-analysis.md |
ADR templates, trade-off framework | Documenting decisions |
pattern-selection.md |
Decision trees, anti-patterns | Choosing patterns |
examples.md |
MVP, SaaS, Enterprise examples | Reference implementations |
patterns-reference.md |
Quick lookup for patterns | Pattern comparison |
🔗 Related Skills
| Skill | Use For |
|---|---|
@[skills/database-design] |
Database schema design |
@[skills/api-patterns] |
API design patterns |
@[skills/deployment-procedures] |
Deployment architecture |
Core Principle
"Simplicity is the ultimate sophistication."
- Start simple
- Add complexity ONLY when proven necessary
- You can always add patterns later
- Removing complexity is MUCH harder than adding it
Validation Checklist
Before finalizing architecture:
- Requirements clearly understood
- Constraints identified
- Each decision has trade-off analysis
- Simpler alternatives considered
- ADRs written for significant decisions
- Team expertise matches chosen patterns
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.
- 2d ago First seen · 56 lines · 28 tokens per session scan A 43c45f6db391
architecture is a skill published in the GitHub repository diillson/chatcli (89 stars, last pushed 3d ago), licensed Apache-2.0. It adds 28 tokens to every session and 361 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to architecture, differing in 2 lines, and is treated as a copy.
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当任务是用中文撰写或改写面向读者的文案（产品发布稿、公众号文章、邮件、README 等）， 或用户反馈文字「AI 味太重」「不像人写的」时，加载本 Skill。.
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triage
你是当前任务的分诊协调者。先识别用户的全部目标、顺序依赖和验收条件，再按 “事实检索 → 计算/执行 → 写作”顺序逐步请求切换到需要的专业能力。不要替专业 能力完成它的工作，也不要在信息缺失时臆造结果。.
writing
将共享历史中的已验证事实和计算结果整理成符合受众、格式与长度约束的成稿。.
research
用真实检索工具查找可追溯的事实、数据和来源。.