intelligent_evolution

A rule-based entry point for analysing a project’s state, user actions, conversations, environment, performance, and possible improvements. It coordinates other rules for deciding and applying changes.

In plain words
What is it for?
Use it to analyse project rules, look for optimisation opportunities, learn usage patterns, and request improvement suggestions.
Why use it?
It gives improvement-related requests one place to start instead of requiring you to know which analysis or strategy rule to use. The input does not explain the exact changes it can make.

Cursor rule for Cursor

Install

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.

agentmods
npx agentmods add rules/wangqiqi/cursor-ai-rules/intelligent_evolution
Clone the repo
git clone --depth 1 https://github.com/wangqiqi/cursor-ai-rules

Made for: Cursor.

Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 377 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00377
Opus 5 $0.00000 $0.00188
Sonnet 5 $0.00000 $0.00075
Haiku 4.5 $0.00000 $0.00038

Measured 2d ago against content hash 3a951741ff42, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

intelligent_evolution 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.

.cursor/rules/core/intelligent_evolution.mdc · 46 lines

What it actually says

🧠 智能演进系统 (Intelligent Evolution System)

版本: v4.4.0 | 已拆分入口与策略至独立规则

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。

系统定位:作为项目感知和分析的专门系统,为各种演进活动提供智能数据支持。

📚 详细规范引用

  • 系统入口:见 @intelligent_evolution-entry(架构、感知能力表、感知模式、数据存储)
  • 演进策略:见 @intelligent_evolution-strategies(意图识别、上下文引用、模块同步、学习引擎)

核心能力

  • 项目状态感知、用户行为分析、环境特征检测
  • 对话意图感知、上下文感知引用
  • 个性化学习引擎、模块同步感知
  • 性能监控系统

📋 使用示例

# 触发智能演进分析
/master 优化项目规则
/master 分析项目并改进
/master 学习用户习惯后调整

# 或通过对话
"帮我看看规则系统有哪些可以优化的地方"
"根据最近的使用情况,有什么改进建议?"

引用: @intelligent_evolution-entry @intelligent_evolution-strategies

Changes

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.

  1. 2d ago First seen · 46 lines · 0 tokens per session scan A 3a951741ff42

Subscribe to this mod's changes

intelligent_evolution 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 377 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.