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.
git clone --depth 1 https://github.com/Mr-chen-05/rules-2.1-optimizedWrote 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/mr-chen-05/rules-2.1-optimized/feedback-enhanced)<a href="https://agentmods.dev/rules/mr-chen-05/rules-2.1-optimized/feedback-enhanced"><img src="https://agentmods.dev/badge/rules/mr-chen-05/rules-2.1-optimized/feedback-enhanced/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/rules/mr-chen-05/rules-2.1-optimized/feedback-enhanced"><img src="https://agentmods.dev/badge/rules/mr-chen-05/rules-2.1-optimized/feedback-enhanced.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 | $0.02968 | $0.02968 |
| Opus 5.5 | $0.01187 | $0.01187 |
| Sonnet 5.5 | $0.00594 | $0.00594 |
| Haiku 4.5 | $0.00297 | $0.00297 |
Grade A, and why
feedback-enhanced 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 1mo 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 — 388 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🤖 Enhanced Feedback Mechanism - 增强反馈机制
专为复杂开发任务设计的智能反馈系统，支持1小时超时的深度交互。
🎯 核心原则
- 统一调用方法 - 只使用
mcp_mcp-feedback-enhanced_interactive_feedback工具 - 简化触发机制 - 明确的触发条件，避免过度复杂化
- 用户体验优先 - 确保反馈界面能够正常启动和使用
- 持续迭代 - 根据反馈持续改进和优化
🚀 Commands - 命令
/feedback- 手动触发反馈/feedback-config- 配置反馈设置/feedback-history- 查看反馈历史/feedback-summary- 生成工作摘要
用户语言触发命令
当用户使用以下自然语言时，自动调用 mcp_mcp-feedback-enhanced_interactive_feedback：
- "调用反馈程序"
- "打开反馈界面"
- "启动反馈系统"
- "开启反馈功能"
✨ Features - 功能特性
🕐 Extended Timeout - 扩展超时
- 1小时超时 - 充足时间进行复杂架构讨论
- 自动保存 - 防止长时间讨论中的数据丢失
- 断点续传 - 支持中断后继续讨论
📝 Rich Text Support - 富文本支持
- 代码片段 - 语法高亮的代码展示
- 架构图 - Mermaid图表支持
- 配置文件 - 格式化的配置展示
- 截图支持 - 图片和截图集成
🔄 Real-time Interaction - 实时交互
- 双向沟通 - AI与用户的实时对话
- 进度跟踪 - 任务进度实时更新
- 决策记录 - 重要决策自动记录
📋 Trigger Conditions - 触发条件
🔍 详细模式特殊规则
当用户设置了详细模式时，每次会话开始时自动调用反馈增强界面，确保用户对每个开发步骤都有充分的参与和确认。
自动触发场景
🔍 需求不明确
触发条件: 用户描述模糊或存在歧义 示例: "帮我做个网站" (缺少具体需求) 反馈内容:
- 项目类型和规模
- 技术栈偏好
- 功能需求清单
- 时间和预算约束
🎯 重大决策
触发条件: 架构选择、技术栈选型等关键决策 示例: 微服务 vs 单体架构选择 反馈内容:
- 项目规模和团队大小
- 性能和扩展性要求
- 运维能力和经验
- 长期维护考虑
✅ 方案完成
触发条件: 技术方案设计完成，需用户确认 示例: 数据库设计方案完成 反馈内容:
- 表结构设计审查
- 索引策略确认
- 性能预期评估
- 扩展性考虑
🎉 执行完成
触发条件: 代码实现完成，需用户验收 示例: API接口开发完成 反馈内容:
- 功能测试结果
- 性能指标达成
- 安全检查通过
- 文档完整性
🚨 错误发生
触发条件: 遇到无法自动解决的问题 示例: 依赖冲突或环境问题 反馈内容:
- 错误详细信息
- 可能的解决方案
- 需要的用户操作
- 替代方案建议
🖥️ MCP Desktop Feedback Invocation - 桌面反馈程序调用
统一调用方法
唯一正确的调用方式: 使用 mcp_mcp-feedback-enhanced_interactive_feedback 工具
调用规范
- 工具名称:
mcp_mcp-feedback-enhanced_interactive_feedback - 必需参数:
project_directory: 当前工作区路径summary: 当前状态与需要用户确认的要点timeout: 超时时间（推荐3600秒，即1小时）
标准调用示例
// 正确的调用方式
mcp_mcp-feedback-enhanced_interactive_feedback({
project_directory: "e:\\AgentRules\\English\\rules-2.1-optimized",
summary: "已启动 MCP 桌面反馈程序。请在窗口中填写意见或上传截图，提交后我将根据反馈继续迭代。",
timeout: 3600
})
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.
- 1mo ago First seen · 388 lines · 2,968 tokens per session scan A 7c6606e1eb52
feedback-enhanced is a cursor rule published in the GitHub repository Mr-chen-05/rules-2.1-optimized (172 stars, last pushed 11mo ago), licensed MIT. It adds 2,968 tokens to every session, about $0.0119 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.
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