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/yezannnnn/agentGroupWrote 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/commands/yezannnnn/agentgroup/project)<a href="https://agentmods.dev/commands/yezannnnn/agentgroup/project"><img src="https://agentmods.dev/badge/commands/yezannnnn/agentgroup/project/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/commands/yezannnnn/agentgroup/project"><img src="https://agentmods.dev/badge/commands/yezannnnn/agentgroup/project.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 | $0.00000 | $0.00371 |
| Opus 5.5 | $0.00000 | $0.00148 |
| Sonnet 5.5 | $0.00000 | $0.00074 |
| Haiku 4.5 | $0.00000 | $0.00037 |
Grade A, and why
project 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
/project - 生成项目AI说明
为项目生成AI友好的说明文件
使用方式
/project init [项目路径] # 扫描项目,生成 .claude/project.md
/project update [项目路径] # 更新项目说明(记录变更)
/project diff [项目路径] # 查看git变更并更新说明
/project init
- 扫描项目目录
- 识别技术栈(package.json, requirements.txt, go.mod等)
- 分析目录结构
- 读取README(如有)
- 读取模板
../shared/templates/ai-project.md - 生成
[项目路径]/.claude/project.md - 询问用户补充业务概念和开发规范
/project update
- 读取现有
.claude/project.md - 询问本次变更内容
- 更新"当前状态"、"进行中的任务"、"变更记录"
/project diff
- 运行
git status和git log -5 --oneline - 分析变更涉及的模块
- 自动更新
.claude/project.md中的:- 当前状态.最近变更
- 变更记录
生成的文件位置
项目根目录/
└── .claude/
└── project.md # AI启动时应读取此文件
重要提示
当用户让你开发某个项目时:
- 先检查项目是否有
.claude/project.md - 如果有,先读取它了解项目
- 如果没有,建议用户执行
/project init
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 · 51 lines · 0 tokens per session scan A 57f6ce331970
project is a command published in the GitHub repository yezannnnn/agentGroup (150 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 371 tokens. 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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