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.
git clone --depth 1 https://github.com/xyzbit/AI-CodingWrote 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/rules/xyzbit/ai-coding/p-design-tech-solution)<a href="https://agentmods.dev/rules/xyzbit/ai-coding/p-design-tech-solution"><img src="https://agentmods.dev/badge/rules/xyzbit/ai-coding/p-design-tech-solution/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.
<a href="https://agentmods.dev/rules/xyzbit/ai-coding/p-design-tech-solution"><img src="https://agentmods.dev/badge/rules/xyzbit/ai-coding/p-design-tech-solution.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00009 | $0.00398 |
| Opus 5.5 | $0.00004 | $0.00159 |
| Sonnet 5.5 | $0.00002 | $0.00080 |
| Haiku 4.5 | $0.00001 | $0.00040 |
Grade A, and why
p-design-tech-solution 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.
What it actually says
技术方案编写规则
整体要求
- 如果判断某个部分内容较多、较复杂，建议简单描述+功能标注 '//TODO 需要后续补充'
- 对应复杂功能给出多个实现方案+建议方案
文档交付内容要求
交付形式：在当前项目的 docs 文件夹下建立 xxx.md 保存 文档模版如下:
## 需求详情
## 需求目的
> 介绍需求背景，让大家了解相关上下文信息。
## 需求涉及历史业务逻辑
> 如果需要
## 技术方案
业务逻辑
主要逻辑描述：
> 介绍技术方案，包括但不限于以下章节。
> 如果有多个可选方案，需要增加方案对比。
### 流程图
### (如果需要)上下游服务，子模块关系等。
技术实现
**方案流程图 / 描述**
> 抽象和描述业
**数据库表设计（如果有）**
**接口设计（如果有）**
// 参考如下：
service AdAutoRuleLog { rpc GetList (GetListRequest) returns (GetListResp) { option (google.api.http) = { post: "/v1/marketing/ad-auto-rule-log/list", body: "*" };
option (openapi.v3.operation) = {
summary: "列表",
operation\_id: "列表",
};
}
}
## 上线注意事项
确认历史数据迁移是否成功
确认调整是否生效
## 任务拆解
> 任务拆解与排期
## 项目脚本执行入口及参数说明（如果有）
## 上线文档
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.
- 1mo ago First seen · 88 lines · 9 tokens per session scan A 4d8da7cfd5c5
p-design-tech-solution is a cursor rule published in the GitHub repository xyzbit/AI-Coding (21 stars, last pushed 12mo ago), licensed Apache-2.0. It adds 9 tokens to every session and 398 once invoked, about $0.0000 per session on Opus 5.5. 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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