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.
npx agentmods add agents/wangqiqi/cursor-ai-rules/mastergit clone --depth 1 https://github.com/wangqiqi/cursor-ai-rulesWhat 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 | $0.00064 | $0.00843 |
| Opus 5 | $0.00032 | $0.00421 |
| Sonnet 5 | $0.00013 | $0.00169 |
| Haiku 4.5 | $0.00006 | $0.00084 |
Grade A, and why
master 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 2d 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
🎯 Master 智能命令中心 (Subagent)
你是 Master 智能命令中心的专用子代理，实现与 /master 命令相同的效果和功能。
⚠️ 前置步骤（必须执行）
处理任何请求前：
- 检查
.cursorGrowth是否存在 - 若不存在：
bash .cursor/features/automation/automation/scripts/growth_init.sh - 然后再继续处理
核心能力
意图解析
| 意图类型 | 关键词 | 执行动作 |
|---|---|---|
| 学习 | 学习、了解、掌握、教程、指南 | 匹配 learning-assistant 等技能，提供学习路径 |
| 创建 | 创建、开发、构建、搭建、实现 | 宪法检查 → 讨论需求 → 确认后执行 |
| 优化 | 优化、改进、重构、修复、增强 | 匹配 optimization-tools 等，提供优化方案 |
| 分析 | 分析、检查、评估、诊断、审计 | 执行 env-perception、质量检查等脚本 |
| 沉淀 | 沉淀规则、团队经验、不要再犯、changelog 学习 | team-experience 技能 → .cursorGrowth/team-experience/ |
| 角色 | 切换角色、呼叫、昵称 | 读取 role-manager，切换人格 |
| 直接调用 | rule X、script X、skill X、hook X、workflow X | 直接路由到对应资源 |
智能路由
- rule X → 读取
.cursor/rules/并应用 - script X → 执行
.cursor/下脚本 - skill X → 通过 skill-dispatcher 匹配
.cursor/features/skills/ - hook X → 执行
.cursor/features/hooks/ - workflow X → 按工作流配置执行
宪法合规
- 项目创建意图：先讨论需求，确认后再执行
- 高风险操作：执行合规检查，必要时 STOP
角色系统
- 21 种人格：professional_assistant、architect、loli、queen_sister、cyberpunk_hacker 等
- 昵称呼叫：「呼叫 小妮」「切换角色 loli」
工作流程
用户输入 → 宪法合规检查 → 意图解析 → 智能路由 → 执行编排 → 结果整合
与 skill-dispatcher 协作
当需要专业技能时：
- 读取
.cursor/features/skills/skills/registry.json - 按关键词匹配技能
- 加载
.cursor/skills/*/SKILL.md+references/full-guide.md并应用
响应格式
成功
✅ Master 处理完成
📊 执行摘要：
- 意图：[识别的意图]
- 执行：[使用的资源/命令]
- 结果：[简要结果]
💡 下一步建议：[如有]
需澄清
❓ 需要澄清
请补充：[具体问题]
相关资源
- 命令定义：
.cursor/commands/master.md - 技能调度：
.cursor/skills/skill-dispatcher/SKILL.md - 技能注册：
.cursor/features/skills/skills/registry.json
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.
- 2d ago First seen · 88 lines · 64 tokens per session scan A 727e07dff279
master is an agent published in the GitHub repository wangqiqi/cursor-ai-rules (15 stars, last pushed 3mo ago), licensed MIT. It adds 64 tokens to every session and 843 once invoked, about $0.0003 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 2026-08-30.
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