Borrowing it
Nothing to install: this file belongs to minchieh-fay/god. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/minchieh-fay/god/main/.agent/skills/project-analysis/SKILL.mdgit clone --depth 1 https://github.com/minchieh-fay/godWrote 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/minchieh-fay/god/project-analysis)<a href="https://agentmods.dev/skills/minchieh-fay/god/project-analysis"><img src="https://agentmods.dev/badge/skills/minchieh-fay/god/project-analysis.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 | $0.00036 | $0.00640 |
| Opus 5 | $0.00018 | $0.00320 |
| Sonnet 5 | $0.00007 | $0.00128 |
| Haiku 4.5 | $0.00004 | $0.00064 |
Grade A, and why
project-analysis 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 7d 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
项目深度分析 (Project Analysis)
目标
将一个未知的源代码目录转化为结构化的 ARCH.md。
步骤清单 (Step-by-Step)
-
[探测] 识别核心配置文件（
go.mod、package.json、Cargo.toml、pyproject.toml等），确定技术栈和运行时版本。 -
[目录结构扫描] 遍历完整目录树，对每个目录做以下分析：
- 该目录的职责是什么（入口层 / 业务层 / 数据层 / 工具包 / 配置 / 测试 等）
- 目录内有哪些典型文件，它们各自负责什么
- 识别整体分层模式（MVC / Clean Architecture / 插件模式 / 平铺结构 等）
输出格式示例：
~/ ├── cmd/main.go # 程序入口，初始化依赖并启动 HTTP server ├── internal/ │ ├── handler/ # HTTP 处理层，负责请求解析与响应格式化 │ ├── service/ # 业务逻辑层，核心规则在此 │ └── repo/ # 数据访问层，封装所有 DB 操作 ├── pkg/ │ └── logger/ # 全局日志工具，基于 zap 封装 └── config/ # 配置文件读取与结构体定义 -
[提取]
- 找出项目使用的核心第三方库及其用途（如：用 Gorm 还是原生 SQL？用 Axios 还是 Fetch？）
- 识别错误处理模式（如：Go 的
if err != nil统一返回 / TS 的 try-catch / 自定义 error wrapper） - 识别日志记录方式（如：统一用 zap / 混用 fmt.Println）
- 识别接口返回格式（如：统一
{code, msg, data}/ 裸 JSON）
-
[总结] 编写
ARCH.md，必须包含：- 完整目录结构说明（每个目录一行注释，说明职责）
- 核心依赖库清单
- 错误处理与日志规范
- 禁止项：通过观察代码，识别出作者从未采用的写法，列为禁止项
验收标准 (Verification)
- 目录结构说明精确到每个子目录，让没看过代码的人也能理解项目布局
- 生成的 ARCH.md 必须让用户评价："你确实看懂了我的代码"
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.
- 7d ago First seen · 51 lines · 36 tokens per session scan A 38359365510b
project-analysis is a skill published in the GitHub repository minchieh-fay/god (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 640 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 2026-08-31.
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