Borrowing it
Nothing to install: this file belongs to ZOO-AiiiPM/claude-project-skill. 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/ZOO-AiiiPM/claude-project-skill/main/CLAUDE.mdgit clone --depth 1 https://github.com/ZOO-AiiiPM/claude-project-skillWrote 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/instructions/zoo-aiiipm/claude-project-skill/claude-md)<a href="https://agentmods.dev/instructions/zoo-aiiipm/claude-project-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/zoo-aiiipm/claude-project-skill/claude-md/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/instructions/zoo-aiiipm/claude-project-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/zoo-aiiipm/claude-project-skill/claude-md.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 | $0.00641 | $0.00641 |
| Opus 5 | $0.00320 | $0.00320 |
| Sonnet 5 | $0.00128 | $0.00128 |
| Haiku 4.5 | $0.00064 | $0.00064 |
Grade A, and why
claude-project-skill CLAUDE.md 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 10d 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
claude-project-skill
Claude Code skill：对话式初始化项目、按标准审查协作层、逐条改造、规则层 review。
事实进 .claude/memory/（查 MEMORY.md 索引），时间线进 journal.md，长规则进 .claude/rules/。本文件只放需要每次 session 都加载的规则 + 索引。
跨 Session 协作（硬规则）
| 文件 | 存什么 | 何时读/写 |
|---|---|---|
CLAUDE.md |
规则 + 索引（目标 < 80 行） | 每次 session 自动加载 |
.claude/rules/*.md |
长规则 / 按主题拆 / 可带 paths: 作用域 |
自动加载 |
journal.md |
时间线进度、反思、决策 | Session 开头读顶部 3 条；里程碑 / 踩坑后 append 顶部 |
.claude/memory/ |
事实（服务器 / 账号 / API / 命令） | MEMORY.md 前 200 行自动加载；主题文件按需读 |
写入分层：
- 事实（地址 / ID / URL / 命令 / 字段）→
.claude/memory/{reference,project,user}_*.md+ 同步 MEMORY.md 索引 - 用户纠正 / 严重错误：短的（1-3 行）→ 本文件"项目硬规则"段；长的 →
.claude/rules/{主题}.md。禁止feedback_*.md - 进度 / 反思 / 决策 →
journal.md - 复杂反转 / 多步踩坑 →
lessons/{主题}.md
项目硬规则
关键资源索引
- 事实类：
.claude/memory/MEMORY.md（索引，按主题读对应reference_*.md/project_*.md） - 项目规则：
.claude/rules/*.md（自动加载，支持 paths 作用域） - 跨项目规则：
~/.claude/rules/（全局，本项目不重复） - 标准文档：
references/（8 份 audit/review/apply 判断依据，改前必读） - 模板骨架：
assets/（init 拷贝来源，改这里影响所有新项目） - skill 路由：
SKILL.md（init/audit/apply/review 完整逻辑） - 复杂案例：
lessons/
待做
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.
- 10d ago First seen · 47 lines · 641 tokens per session scan A 570605f1cf4e
claude-project-skill CLAUDE.md is an instructions file published in the GitHub repository ZOO-AiiiPM/claude-project-skill (2 stars, last pushed 4mo ago), licensed MIT. It adds 641 tokens to every session, about $0.0032 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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