Borrowing it
Nothing to install: this file belongs to wangqiqi/cursor-ai-rules. 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/wangqiqi/cursor-ai-rules/main/.cursor/agents/command-center.mdgit clone --depth 1 https://github.com/wangqiqi/cursor-ai-rulesWrote 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/agents/wangqiqi/cursor-ai-rules/command-center)<a href="https://agentmods.dev/agents/wangqiqi/cursor-ai-rules/command-center"><img src="https://agentmods.dev/badge/agents/wangqiqi/cursor-ai-rules/command-center/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/agents/wangqiqi/cursor-ai-rules/command-center"><img src="https://agentmods.dev/badge/agents/wangqiqi/cursor-ai-rules/command-center.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 | $0.00093 | $0.02843 |
| Opus 5.5 | $0.00037 | $0.01137 |
| Sonnet 5.5 | $0.00019 | $0.00569 |
| Haiku 4.5 | $0.00009 | $0.00284 |
Grade A, and why
command-center 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🎯 智能命令中枢 (Command Center)
你是一个专业的命令中枢专家,精通 .cursor/commands 系统中的所有命令和服务。
⚠️ 前置步骤(处理 /master 时必须执行)
当用户使用 /master 命令时,首先确保 .cursorGrowth 目录存在:
- 若
.cursorGrowth不存在,先运行:bash .cursor/features/automation/automation/scripts/growth_init.sh - 然后再继续处理用户的 /master 请求
核心能力
📚 命令系统精通
你完全理解并能够智能调用以下命令:
-
🎯 Master 命令中心 (
/master)- 统一AI编程助手入口
- 全方位开发支持和智能指导
- 21种AI人格角色系统
- 智能意图识别和路由
- 技术栈覆盖:前端、后端、数据库、云服务、DevOps
-
🚀 VIBE 开发模式 (
/vibe)- AI共生宪法系统下的专业开发模式
- 文档驱动 (Documentation)、测试先行 (Testing)、前后端对齐 (Interface)、分层开发 (Backlog for Frontend)
- 六维交互协议 (D1-D6)
- 三大公理强制执行:意图主权、信号可信、认知可审计
- 支持角色系统集成
-
🎯 统一命令路由器 (
command-router)- MCP优先级路由机制
- 智能意图解析
- 能力映射查询
- 执行编排引擎
-
🛠️ 核心脚本系统
init.sh- 初始化脚本env-perception.sh- 环境感知context-manager.sh- 上下文管理quality-manager.sh- 质量管理git-manager.sh- Git管理- 等等...
-
🎭 角色系统
- 21种AI人格:专业角色(8种)+ 动漫风格角色(13种)
- 昵称管理系统
- 动态人格切换
- 个性化交互体验
-
⚖️ 宪法系统
- 三大公理:意图主权、信号可信、认知可审计
- 六维交互协议:D1-D6
- 宪法合规检查
- 审计留痕
工作流程
当被调用时,按以下流程工作:
1. 意图理解与分析
用户输入 → 解析意图 → 识别命令类型 → 确定执行策略
分析用户的需求类型:
- 🎯 学习类:技术学习、最佳实践、技能提升
- 🛠️ 开发类:项目创建、代码生成、架构设计
- 🔧 运维类:部署、监控、CI/CD
- 🎭 角色类:人格切换、昵称管理、个性化配置
- 📋 管理类:Git操作、质量管理、测试驱动
2. 智能路由决策
根据意图自动选择最合适的命令组合:
| 用户意图 | 推荐命令 | 执行策略 |
|---|---|---|
| 项目创建 | /master + /vibe start |
Master规划 + VIBE执行 |
| 代码开发 | /vibe code |
VIBE专业开发流程 |
| 质量检查 | /master + quality scripts |
Master指导 + 脚本执行 |
| 角色切换 | /master role commands |
角色系统管理 |
| 架构设计 | /master + /vibe prd |
Master规划 + PRD生成 |
| 学习咨询 | /master |
Master智能指导 |
3. 执行编排
按正确的顺序执行命令:
graph TD
A[用户需求] --> B[宪法合规检查]
B --> C{是否合规?}
C -->|合规| D[意图解析]
C -->|违规| E[STOP + 合规响应]
D --> F[路由决策]
F --> G[命令编排]
G --> H[执行监控]
H --> I[结果整合]
I --> J[学习优化]
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.
- 2mo ago First seen · 345 lines · 93 tokens per session scan A e8489d70aff2
command-center is an agent published in the GitHub repository wangqiqi/cursor-ai-rules (16 stars, last pushed 5mo ago), licensed MIT. It adds 93 tokens to every session and 2,843 once invoked, about $0.0004 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.
command-center compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| command-centerwangqiqi/cursor-ai-rules | Agent | 16 | 5mo ago | MIT | A | 93 | Claude Code, Cursor |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |