docs: fuzzy numbers in README (3K/~100/9 tools)

README.md

@@ -10,18 +10,18 @@
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 ## 🌟 Overview
 
-**GenericAgent** is a minimal, self-evolving autonomous agent framework. Its core is just **~3,300 lines of code**. Through **7 atomic tools + a 92-line Agent Loop**, it grants any LLM system-level control over a local computer — covering browser, terminal, filesystem, keyboard/mouse input, screen vision, and mobile devices (ADB).
+**GenericAgent** is a minimal, self-evolving autonomous agent framework. Its core is just **~3K lines of code**. Through **9 atomic tools + a ~100-line Agent Loop**, it grants any LLM system-level control over a local computer — covering browser, terminal, filesystem, keyboard/mouse input, screen vision, and mobile devices (ADB).
 
 Its design philosophy: **don't preload skills — evolve them.**
 
-Every time GenericAgent solves a new task, it automatically crystallizes the execution path into an skill for direct reuse later. The longer you use it, the more skills accumulate — forming a skill tree that belongs entirely to you, grown from 3,300 lines of seed code.
+Every time GenericAgent solves a new task, it automatically crystallizes the execution path into an skill for direct reuse later. The longer you use it, the more skills accumulate — forming a skill tree that belongs entirely to you, grown from 3K lines of seed code.
 
 > **🤖 Self-Bootstrap Proof** — Everything in this repository, from installing Git and running `git init` to every commit message, was completed autonomously by GenericAgent. The author never opened a terminal once.
 
 ## 📋 Core Features
 - **Self-Evolving**: Automatically crystallizes each task into an skill. Capabilities grow with every use, forming your personal skill tree.
-- **Minimal Architecture**: ~3,300 lines of core code. Agent Loop is just 92 lines. No complex dependencies, zero deployment overhead.
+- **Minimal Architecture**: ~3K lines of core code. Agent Loop is ~100 lines. No complex dependencies, zero deployment overhead.
-- **Strong Execution**: Injects into a real browser (preserving login sessions). 7 atomic tools take direct control of the system.
+- **Strong Execution**: Injects into a real browser (preserving login sessions). 9 atomic tools take direct control of the system.
 - **High Compatibility**: Supports Claude / Gemini / Kimi / MiniMax and other major models. Cross-platform.
 
 
@@ -40,7 +40,7 @@ This is what fundamentally distinguishes GenericAgent from every other agent fra
 | *"Monitor stocks and alert me"* | Install mootdx → build selection flow → configure cron → save skill | **one-line start** |
 | *"Send this file via Gmail"* | Configure OAuth → write send script → save skill | **ready to use** |
 
-After a few weeks, your agent instance will have a skill tree no one else in the world has — all grown from 3,300 lines of seed code.
+After a few weeks, your agent instance will have a skill tree no one else in the world has — all grown from 3K lines of seed code.
 
 
 ##### 🎯 Demo Showcase
@@ -115,12 +115,12 @@ streamlit run frontends/stapp2.py        # Alternative Streamlit UI
 
 | Feature | GenericAgent | OpenClaw | Claude Code |
 |------|:---:|:---:|:---:|
-| **Codebase** | ~3,300 lines | ~530,000 lines | Open-sourced (large) |
+| **Codebase** | ~3K lines | ~530,000 lines | Open-sourced (large) |
 | **Deployment** | `pip install` + API Key | Multi-service orchestration | CLI + subscription |
 | **Browser Control** | Real browser (session preserved) | Sandbox / headless browser | Via MCP plugin |
 | **OS Control** | Mouse/kbd, vision, ADB | Multi-agent delegation | File + terminal |
 | **Self-Evolution** | Autonomous skill growth | Plugin ecosystem | Stateless between sessions |
-| **Out of the Box** | 10 .py files + 5 skills | Hundreds of modules | Rich CLI toolset |
+| **Out of the Box** | A few core files + starter skills | Hundreds of modules | Rich CLI toolset |
 
 
 ## 🧠 How It Works
@@ -138,10 +138,10 @@ GenericAgent accomplishes complex tasks through **Layered Memory × Minimal Tool
 
 > _Perceive environment state → Task reasoning → Execute tools → Write experience to memory → Loop_
 
-The entire core loop is just **92 lines of code** (`agent_loop.py`).
+The entire core loop is just **~100 lines of code** (`agent_loop.py`).
 
 3️⃣ **Minimal Toolset**
-> _GenericAgent provides only **7 atomic tools**, forming the foundational capabilities for interacting with the outside world._
+> _GenericAgent provides only **9 atomic tools**, forming the foundational capabilities for interacting with the outside world._
 
 | Tool | Function |
 |------|------|
@@ -187,18 +187,18 @@ MIT License — see [LICENSE](LICENSE)
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 ## 🌟 项目简介
 
-**GenericAgent** 是一个极简、可自我进化的自主 Agent 框架。核心仅 **~3,300 行代码**，通过 **7 个原子工具 + 92 行 Agent Loop**，赋予任意 LLM 对本地计算机的系统级控制能力，覆盖浏览器、终端、文件系统、键鼠输入、屏幕视觉及移动设备。
+**GenericAgent** 是一个极简、可自我进化的自主 Agent 框架。核心仅 **~3K 行代码**，通过 **9 个原子工具 + ~100 行 Agent Loop**，赋予任意 LLM 对本地计算机的系统级控制能力，覆盖浏览器、终端、文件系统、键鼠输入、屏幕视觉及移动设备。
 
 它的设计哲学是：**不预设技能，靠进化获得能力。**
 
-每解决一个新任务，GenericAgent 就将执行路径自动固化为 Skill，供后续直接调用。使用时间越长，沉淀的技能越多，形成一棵完全属于你、从 3,300 行种子代码生长出来的专属技能树。
+每解决一个新任务，GenericAgent 就将执行路径自动固化为 Skill，供后续直接调用。使用时间越长，沉淀的技能越多，形成一棵完全属于你、从 3K 行种子代码生长出来的专属技能树。
 
 > **🤖 自举实证** — 本仓库的一切，从安装 Git、`git init` 到每一条 commit message，均由 GenericAgent 自主完成。作者全程未打开过一次终端。
 
 ## 📋 核心特性
 - **自我进化**: 每次任务自动沉淀 Skill，能力随使用持续增长，形成专属技能树
-- **极简架构**: ~3,300 行核心代码，Agent Loop 仅 92 行，无复杂依赖，部署零负担
+- **极简架构**: ~3K 行核心代码，Agent Loop 约百行，无复杂依赖，部署零负担
-- **强执行力**: 注入真实浏览器（保留登录态），7 个原子工具直接接管系统
+- **强执行力**: 注入真实浏览器（保留登录态），9 个原子工具直接接管系统
 - **高兼容性**: 支持 Claude / Gemini / Kimi / MiniMax 等主流模型，跨平台运行
 
 ## 🧬 自我进化机制
@@ -215,7 +215,7 @@ MIT License — see [LICENSE](LICENSE)
 | *"监控股票并提醒我"* | 安装 mootdx → 构建选股流程 → 配置定时任务 → 保存 Skill | **一句话启动** |
 | *"用 Gmail 发这个文件"* | 配置 OAuth → 编写发送脚本 → 保存 Skill | **直接可用** |
 
-用几周后，你的 Agent 实例将拥有一套任何人都没有的专属技能树，全部从 3,300 行种子代码中生长而来。
+用几周后，你的 Agent 实例将拥有一套任何人都没有的专属技能树，全部从 3K 行种子代码中生长而来。
 
 <!-- | *"帮我读取微信消息"* | 安装依赖 → 逆向数据库 → 写读取脚本 → 保存 Skill | **一句话调用** | -->
 
@@ -361,12 +361,12 @@ streamlit run frontends/stapp2.py        # 另一种 Streamlit 风格 UI
 
 | 特性 | GenericAgent | OpenClaw | Claude Code |
 |------|:---:|:---:|:---:|
-| **代码量** | ~3,300 行 | ~530,000 行 | 已开源（体量大） |
+| **代码量** | ~3K 行 | ~530,000 行 | 已开源（体量大） |
 | **部署方式** | `pip install` + API Key | 多服务编排 | CLI + 订阅 |
 | **浏览器控制** | 注入真实浏览器（保留登录态） | 沙箱 / 无头浏览器 | 通过 MCP 插件 |
 | **OS 控制** | 键鼠、视觉、ADB | 多 Agent 委派 | 文件 + 终端 |
 | **自我进化** | 自主生长 Skill 和工具 | 插件生态 | 会话间无状态 |
-| **出厂配置** | 10 个 .py + 5 个 Skills | 数百模块 | 丰富 CLI 工具集 |
+| **出厂配置** | 几个核心文件 + 少量初始 Skills | 数百模块 | 丰富 CLI 工具集 |
 
 
 ## 🧠 工作机制
@@ -385,10 +385,10 @@ GenericAgent 通过**分层记忆 × 最小工具集 × 自主执行循环**完
 
 > 感知环境状态  →  任务推理  →  调用工具执行  →  经验写入记忆  →  循环
 
-整个核心循环仅 **92 行代码**（`agent_loop.py`）。
+整个核心循环仅 **约百行代码**（`agent_loop.py`）。
 
 3️⃣ **最小工具集**
->GenericAgent 仅提供 **7 个原子工具**，构成与外部世界交互的基础能力
+>GenericAgent 仅提供 **9 个原子工具**，构成与外部世界交互的基础能力
 
 | 工具 | 功能 |
 |------|------|