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 skills/2233admin/reverse-skill-evolver/browser-automationnpx skills add 2233admin/reverse-skill-evolver --skill browser-automationgit clone --depth 1 https://github.com/2233admin/reverse-skill-evolverWhat 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 | $0.00149 | $0.01947 |
| Opus 5 | $0.00075 | $0.00974 |
| Sonnet 5 | $0.00030 | $0.00389 |
| Haiku 4.5 | $0.00015 | $0.00195 |
Grade A, and why
browser-automation 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.
This is a copy
88% identical to browser-automation — 15 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
自动化操作 (Desktop & Browser Automation)
适用范围
当任务属于以下场景时使用本 skill：
浏览器场景（Playwright / agent-browser）
- 打开网页并操作页面元素（点击、填表、提交）
- 爬取页面内容或截图
- 自动化登录流程
- 渗透测试中与 Web 页面交互（提交 payload、触发 XSS）
- 验证码页面的自动化处理
- 批量表单提交
桌面应用场景（OpenReverse）
- 操作 Windows 桌面应用（IDA Pro、x64dbg、Wireshark 等）
- 需要视觉驱动交互（CUA 模式）
- 需要结构化 UI 操作（UIA 模式）
- 桌面应用的网络流量观察（内置 mitmproxy）
- 自动化逆向工具的 GUI 操作
- 黑盒测试桌面软件
与其他工具的分工
| 场景 | 用什么 |
|---|---|
| 操作网页（浏览器内） | Playwright / agent-browser |
| 操作桌面应用（Windows GUI） | OpenReverse |
| 抓包分析、HTTP 请求捕获 | anything-analyzer 或 OpenReverse network lane |
| JS 断点、Hook、CDP 调试 | jshookmcp |
| 定位签名算法、补环境复现 | js-reverse |
简单判断：
- 目标是网页 → Playwright
- 目标是 Windows 桌面应用 → OpenReverse
- 两者都需要 → 组合使用
Part 1: 浏览器自动化（Playwright / agent-browser）
核心工作流
# 1. 打开页面
agent-browser open <url>
# 2. 获取可交互元素（返回 @e1, @e2... 引用）
agent-browser snapshot -i
# 3. 用引用操作元素
agent-browser click @e1
agent-browser fill @e2 "text"
# 4. 完成后关闭
agent-browser close
命令参考
# 导航
agent-browser open <url>
agent-browser close
# 页面快照
agent-browser snapshot # 完整无障碍树
agent-browser snapshot -i # 仅可交互元素（推荐）
# 交互操作
agent-browser click @e1
agent-browser fill @e2 "text"
agent-browser type @e2 "text"
agent-browser press Enter
agent-browser scroll down 500
# 获取信息
agent-browser get text @e1
agent-browser get title
agent-browser get url
# 等待
agent-browser wait @e1
agent-browser wait 2000
agent-browser wait --load networkidle
注意事项
- 必须执行
agent-browser close，否则进程泄漏 - 操作前先 snapshot，不要猜元素引用
- 提交表单后用
wait --load networkidle等页面稳定
Part 2: 桌面应用自动化（OpenReverse）
概述
OpenReverse 是面向 AI Agent 的桌面交互与证据采集框架，支持：
- UIA 模式：Windows UI Automation，结构化桌面控件操作
- CUA 模式：视觉驱动交互（Computer Use Agent），适合复杂 GUI
- 网络观察：内置 mitmproxy 代理 + 本地抓取
交互模式选择
| 模式 | 适合场景 | 底层 |
|---|---|---|
| UIA | 目标应用有标准 Windows 控件（按钮、文本框、列表） | Windows UI Automation API |
| CUA | 目标应用 UI 复杂或非标准控件（IDA 的反汇编视图、自定义渲染界面） | 视觉识别 + 鼠标键盘 |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 228 lines · 149 tokens per session scan A a7d3f3b7bf72
browser-automation is a skill published in the GitHub repository 2233admin/reverse-skill-evolver (13 stars, last pushed 21d ago), licensed MIT. It adds 149 tokens to every session and 1,947 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to browser-automation, differing in 15 lines, and is treated as a copy.
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