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/mr-chen-05/rules-2.1-optimized/context-loadergit clone --depth 1 https://github.com/Mr-chen-05/rules-2.1-optimizedWhat 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 | $0.04705 | $0.04705 |
| Opus 5 | $0.02353 | $0.02353 |
| Sonnet 5 | $0.00941 | $0.00941 |
| Haiku 4.5 | $0.00470 | $0.00470 |
Grade A, and why
context-loader 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.
How it starts
The opening of the file, as written. The whole thing — 639 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🧠 Context Loader - 智能项目上下文加载器
AI驱动的智能项目上下文分析和加载系统，超越传统上下文加载，提供深度项目理解和智能配置推荐。
🧠 AI Intelligence Core - AI智能核心
智能激活条件
自动激活场景:
- 检测到新项目或项目结构变化
- 用户执行 "/load-context" 命令
- 超级大脑系统推荐上下文分析
- AI助手首次接触项目时
- 项目配置发生重大变更
智能分析维度:
- 项目类型和技术栈识别 (35%)
- 代码结构和架构模式 (25%)
- 开发工具和配置分析 (20%)
- 团队协作模式识别 (15%)
- 项目成熟度评估 (5%)
🚀 Commands - 智能命令
/load-context- AI智能项目上下文加载（推荐）/load-context --deep- 深度分析模式（详细项目分析）/load-context --quick- 快速分析模式（基础信息）/load-context --tech-stack- 技术栈专项分析/load-context --team- 团队协作模式分析/load-context --config- 配置和工具分析
✨ AI-Powered Features - AI驱动功能
🤖 智能项目识别引擎
项目类型识别:
前端项目:
- React/Next.js项目 (package.json + React依赖)
- Vue.js项目 (vue.config.js + Vue依赖)
- Angular项目 (angular.json + Angular CLI)
- 静态网站 (HTML/CSS/JS结构)
- 移动端应用 (React Native/Flutter)
后端项目:
- Node.js项目 (package.json + Express/Koa)
- Python项目 (requirements.txt + Django/Flask)
- Java项目 (pom.xml/build.gradle + Spring)
- .NET项目 (.csproj + ASP.NET)
- Go项目 (go.mod + Gin/Echo)
全栈项目:
- Monorepo结构识别
- 微服务架构检测
- JAMstack项目识别
- 容器化项目分析
特殊项目:
- 开源库项目
- 文档项目
- 配置项目
- 脚本工具项目
技术栈深度分析:
- 主要框架和库识别
- 开发工具链分析
- 构建和部署配置
- 测试框架和策略
- 数据库和存储方案
🔧 智能配置推荐引擎
配置分析:
开发环境:
- IDE配置文件分析
- 编辑器设置检测
- 插件和扩展识别
- 调试配置分析
构建工具:
- Webpack/Vite/Rollup配置
- Babel/TypeScript配置
- ESLint/Prettier设置
- 测试框架配置
部署配置:
- Docker/Kubernetes配置
- CI/CD流水线设置
- 云服务配置
- 环境变量管理
智能推荐:
- 缺失配置自动识别
- 最佳实践配置建议
- 性能优化配置推荐
- 安全配置增强建议
📊 项目健康度评估
健康度指标:
代码质量:
- 代码覆盖率分析
- 技术债务评估
- 代码复杂度统计
- 安全漏洞扫描
项目管理:
- 文档完整性检查
- 版本管理规范性
- 依赖管理健康度
- 测试策略完整性
团队协作:
- 代码审查流程
- 提交规范性
- 分支管理策略
- 问题跟踪效率
评分体系:
- A级 (90-100分): 优秀项目
- B级 (80-89分): 良好项目
- C级 (70-79分): 一般项目
- D级 (60-69分): 需改进项目
- F级 (<60分): 问题项目
🔄 AI Workflow Process - AI工作流程
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 · 639 lines · 4,705 tokens per session scan A 1ce434af3aac
context-loader is a cursor rule published in the GitHub repository Mr-chen-05/rules-2.1-optimized (172 stars, last pushed 9mo ago), licensed MIT. It adds 4,705 tokens to every session, about $0.0235 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.
Other cursor rules, from other repositories
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
typescript
Changes to these high-fan-out internals can affect every message, delta, element, or rerun. Keep work in them minimal, and benchmark changes with representative stress-test apps.
coolify-ai-docs
Master reference to all Coolify AI documentation in .ai/ directory.
python_lib
Tips and guidelines specific to the development of the Streamlit Python library, not applicable to scripts and e2e tests.
specs
This directory contains product and tech specs for Streamlit features.