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/pixel-cellar/claude-code-game-studios/architecture-decisionnpx skills add pixel-cellar/Claude-Code-Game-Studios --skill architecture-decisiongit clone --depth 1 https://github.com/pixel-cellar/Claude-Code-Game-StudiosWrote 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/pixel-cellar/claude-code-game-studios/architecture-decision)<a href="https://agentmods.dev/skills/pixel-cellar/claude-code-game-studios/architecture-decision"><img src="https://agentmods.dev/badge/skills/pixel-cellar/claude-code-game-studios/architecture-decision.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 | $0.00046 | $0.00673 |
| Opus 5 | $0.00023 | $0.00336 |
| Sonnet 5 | $0.00009 | $0.00135 |
| Haiku 4.5 | $0.00005 | $0.00067 |
Grade A, and why
architecture-decision 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 6d 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
当此技能被调用时：
-
确定下一个 ADR 编号，通过扫描
docs/architecture/目录中已有的 ADR 文件。 -
收集上下文，阅读相关代码和已有 ADR。
-
引导用户完成决策，如果仅凭标题不足以明确决策内容，则提出澄清问题。
-
生成 ADR，遵循以下格式：
# ADR-[NNNN]: [标题]
## 状态
[拟议 | 已采纳 | 已弃用 | 被 ADR-XXXX 取代]
## 日期
[决策日期]
## 背景
### 问题描述
[我们要解决什么问题？为什么现在需要做出这个决策？]
### 约束条件
- [技术约束]
- [时间约束]
- [资源约束]
- [兼容性要求]
### 需求
- [必须支持 X]
- [必须在 Y 预算内执行]
- [必须与 Z 集成]
## 决策
[具体的技术决策内容，描述足够详细以便他人实施。]
### 架构图
[此决策所创建的系统架构的 ASCII 图表或描述]
### 关键接口
[此决策创建的 API 契约或接口定义]
## 备选方案
### 备选方案 1：[名称]
- **描述**：[工作原理]
- **优点**：[优势]
- **缺点**：[劣势]
- **否决原因**：[为何未被采用]
### 备选方案 2：[名称]
- **描述**：[工作原理]
- **优点**：[优势]
- **缺点**：[劣势]
- **否决原因**：[为何未被采用]
## 影响
### 正面影响
- [此决策带来的良好结果]
### 负面影响
- [接受的权衡和代价]
### 风险
- [可能出现的问题]
- [各项风险的应对措施]
## 性能影响
- **CPU**：[预期影响]
- **内存**：[预期影响]
- **加载时间**：[预期影响]
- **网络**：[预期影响（如适用）]
## 迁移计划
[如果此决策涉及现有代码变更，如何从当前状态过渡到目标状态？]
## 验证标准
[如何判断此决策是否正确？采用哪些指标或测试？]
## 相关决策
- [关联 ADR 链接]
- [关联设计文档链接]
- 保存 ADR 至
docs/architecture/adr-[NNNN]-[slug].md。
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.
- 6d ago First seen · 98 lines · 46 tokens per session scan A 682ffc5e1d11
architecture-decision is a skill published in the GitHub repository pixel-cellar/Claude-Code-Game-Studios (326 stars, last pushed 5mo ago), licensed MIT. It adds 46 tokens to every session and 673 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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