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/commands/command-router.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/commands/wangqiqi/cursor-ai-rules/command-router)<a href="https://agentmods.dev/commands/wangqiqi/cursor-ai-rules/command-router"><img src="https://agentmods.dev/badge/commands/wangqiqi/cursor-ai-rules/command-router/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/wangqiqi/cursor-ai-rules/command-router"><img src="https://agentmods.dev/badge/commands/wangqiqi/cursor-ai-rules/command-router.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 | $0.00025 | $0.05707 |
| Opus 5.5 | $0.00010 | $0.02283 |
| Sonnet 5.5 | $0.00005 | $0.01141 |
| Haiku 4.5 | $0.00003 | $0.00571 |
Grade A, and why
command-router 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 — 841 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🎯 统一命令路由器 (Unified Command Router)
版本: v4.3.0 | 最后更新: {{GENERATION_TIME}} | 作者: wangqiqi (https://github.com/wangqiqi)
🧠 核心理念:意图驱动的统一执行引擎
颠覆传统调用模式:不再需要用户记忆各种规则、技能、脚本的调用语法,通过智能意图解析,自动路由到最合适的执行组合。
🎭 角色系统智能路由:支持21种AI人格的智能切换,包含昵称呼叫、角色管理和个性化体验。系统会根据用户意图自动选择最适合的人格,或通过昵称快速呼叫特定角色。
🎯 MCP优先级路由机制
核心创新:MCP Tools 优先调用
// MCP优先级检查流程
async function routeWithMCPPriority(intent: IntentAnalysis): Promise<ExecutionResult> {
// 1. 检测MCP工具可用性
const mcpAvailability = await checkMCPToolsAvailability(intent);
// 2. 如果有高优先级MCP工具,直接使用
if (mcpAvailability.hasHighPriorityTools()) {
return await executeMCPTools(mcpAvailability.getHighPriorityTools());
}
// 3. 否则回退到传统能力执行
return await executeTraditionalCapabilities(intent);
}
优先级策略:
- 高优先级 (High): Git操作、浏览器自动化、测试执行等确定性任务
- 中优先级 (Medium): 数据处理、文档操作等半确定性任务
- 低优先级 (Low): 通用AI推理、复杂决策等不确定性任务
🎯 工作原理
graph TD
A[用户输入] --> B[意图预解析]
B --> C[MCP可用性检测]
C --> D[上下文感知]
D --> E[能力映射查询]
E --> F[MCP优先级路由]
F --> G{有可用MCP工具?}
G -->|是| H[MCP工具执行]
G -->|否| I[传统能力执行]
H --> J[结果反馈]
I --> J
K[规则系统] --> I
L[技能系统] --> I
M[脚本系统] --> I
N[钩子系统] --> I
🏗️ 系统架构
核心组件
interface UnifiedCommandRouter {
// 意图解析
parseIntent(input: string): IntentAnalysis;
// 能力映射
mapCapabilities(intent: IntentAnalysis): CapabilitySet;
// 执行编排
orchestrateExecution(capabilities: CapabilitySet): ExecutionPlan;
// 智能执行
executePlan(plan: ExecutionPlan): ExecutionResult;
}
interface IntentAnalysis {
primaryIntent: string; // 主要意图
secondaryIntents: string[]; // 次要意图
confidence: number; // 置信度
context: ContextData; // 上下文信息
parameters: Record<string, any>; // 参数提取
}
interface CapabilitySet {
mcp_tools: MCPTool[]; // MCP工具优先级列表
rules: string[]; // 需要激活的规则
skills: string[]; // 需要调用的技能
scripts: string[]; // 需要执行的脚本
hooks: string[]; // 需要触发的钩子
workflows: string[]; // 需要执行的工作流
}
interface MCPTool {
intent: string; // 意图标识
tool: string; // MCP工具名称
server: string; // MCP服务器名称
priority: 'high' | 'medium' | 'low'; // 优先级
available?: boolean; // 是否可用
}
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 · 841 lines · 25 tokens per session scan A 22f2bf9227c5
command-router is a command published in the GitHub repository wangqiqi/cursor-ai-rules (16 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 5,707 once invoked, about $0.0001 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-router compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| command-routerwangqiqi/cursor-ai-rules | Command | 16 | 5mo ago | MIT | A | 25 | Claude Code, Cursor |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |