Reverse Skill is a routing package for AI coding agents that selects appropriate reverse-engineering, penetration-testing, and security-research methods and tools for a given target. It is used for tasks involving APKs, binaries, frontend JavaScript, packet captures, CTF challenges, and authorized penetration testing. Its catalogue add-ons provide the skills and instructions that guide these workflows.
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 skills add zhaoxuya520/reverse-skill --skill browser-automationgit clone --depth 1 https://github.com/zhaoxuya520/reverse-skillWrote 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/skills/zhaoxuya520/reverse-skill/browser-automation)<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/browser-automation"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/browser-automation/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/skills/zhaoxuya520/reverse-skill/browser-automation"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/browser-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk fail
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 194 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00149 | $0.02132 |
| Opus 5 | $0.00075 | $0.01066 |
| Sonnet 5 | $0.00030 | $0.00426 |
| Haiku 4.5 | $0.00015 | $0.00213 |
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 10d 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- browser-automation — 100% identical, 0 lines differ
- browser-automation — 92% identical, 14 lines differ
- browser-automation — 92% identical, 7 lines differ
- browser-automation — 88% identical, 15 lines differ
How it starts
The opening of the file, as written. The whole thing — 243 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)
ACTION REQUIRED(读完后立刻执行)
NOW:确认当前任务是否命中本 skill 的适用范围NOW:读取../tool-index.md,校验工具可用性和实际路径NEXT:缺工具时调用 bootstrap,不要猜路径ACT:进入"工作流"第一步并执行,不要停在确认状态
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
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.
- 10d ago First seen · 243 lines · 149 tokens per session scan A c19a9293ea15
browser-automation is a skill published in the GitHub repository zhaoxuya520/reverse-skill (35,183 stars, last pushed 6d ago), licensed MIT. It adds 149 tokens to every session and 2,132 once invoked, about $0.0007 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.
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