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 rules/wangqiqi/cursor-ai-rules/intelligent_evolution-entrygit 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/rules/wangqiqi/cursor-ai-rules/intelligent_evolution-entry)<a href="https://agentmods.dev/rules/wangqiqi/cursor-ai-rules/intelligent_evolution-entry"><img src="https://agentmods.dev/badge/rules/wangqiqi/cursor-ai-rules/intelligent_evolution-entry.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00397 |
| Opus 5 | $0.00000 | $0.00198 |
| Sonnet 5 | $0.00000 | $0.00079 |
| Haiku 4.5 | $0.00000 | $0.00040 |
Grade A, and why
intelligent_evolution-entry 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 4d 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
智能演进系统入口 (Entry)
本规则由
@intelligent_evolution引用
核心理念
智能演进系统专注于项目的智能化感知和分析，为演进决策提供数据支持。
系统架构 - 感知能力
| 感知类型 | 功能描述 | 状态 |
|---|---|---|
| 项目状态感知 | 分析项目结构、依赖、变化趋势 | ✅ 活跃 |
| 用户行为分析 | 理解协作模式、使用习惯 | ✅ 活跃 |
| 环境特征检测 | 识别技术栈、平台、工具链 | ✅ 活跃 |
| 对话意图感知 | 理解用户对话和项目需求意图 | ✅ 活跃 |
| 上下文感知引用 | 智能选择相关文件和代码片段 | ✅ 活跃 |
| 个性化学习引擎 | 学习用户偏好和行为模式 | ✅ 活跃 |
| 模块同步感知 | 检测模块间同步需求 | ✅ 活跃 |
| 性能监控系统 | 监控规则性能和系统健康 | ✅ 活跃 |
感知模式
- 实时感知：文件保存、Git 提交时触发
- 周期性分析：每日/每周定时评估
- 事件驱动：依赖变化、新功能上线时深度分析
数据存储
.cursorGrowth/learning/- 学习数据.cursorGrowth/monitoring/- 性能监控
引用: @intelligent_evolution
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.
- 4d ago First seen · 43 lines · 0 tokens per session scan A e70a2090b687
intelligent_evolution-entry is a cursor rule published in the GitHub repository wangqiqi/cursor-ai-rules (15 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 397 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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