Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/znlgis/opengis-skillsnpx agentmods add skills/znlgis/opengis-skills/robotgo-flowWrote 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/znlgis/opengis-skills/robotgo-flow)<a href="https://agentmods.dev/skills/znlgis/opengis-skills/robotgo-flow"><img src="https://agentmods.dev/badge/skills/znlgis/opengis-skills/robotgo-flow/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/znlgis/opengis-skills/robotgo-flow"><img src="https://agentmods.dev/badge/skills/znlgis/opengis-skills/robotgo-flow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00050 | $0.03214 |
| Opus 5.5 | $0.00020 | $0.01286 |
| Sonnet 5.5 | $0.00010 | $0.00643 |
| Haiku 4.5 | $0.00005 | $0.00321 |
Grade A, and why
robotgo-flow 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 12d 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 — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
项目地址： https://github.com/znlgis/robotgo-flow 官方文档： https://github.com/znlgis/robotgo-flow#readme
底层库： go-vgo/robotgo
上游中文教程： https://znlgis.github.io/others/robotgo-flow/（共 19 章）
许可证： MIT License ｜ 最新版本： v1.0.2（2026-09）
概述
robotgo-flow 是一款基于 robotgo 实现的 Windows 桌面 RPA 自动化框架。通过 YAML 声明式描述自动化流程，用图像模板匹配定位屏幕 UI 元素，自动执行鼠标、键盘、浏览器等操作，无需编写 Go 代码。
- Go CLI：纯命令行工具（
run/record/capture/serve），专注自动化逻辑。 - WPF 托盘应用：基于 .NET 10 WPF 的 Windows 托盘应用，实时进度监控与任务栏通知（可选组件）。
- 图像模板匹配：预截取 UI 元素截图定位目标，适应窗口位置变化；窗口内优先搜索、全屏回退。
- 交互式动作：运行时输入框（支持密码隐藏）、确认对话框、系统通知，可实现人工决策节点。
- 运行时变量注入：
$input.<name>占位符，运行时动态替换文本。 - 人类行为模拟：贝塞尔曲线鼠标轨迹、打字错误与修正、可变延迟、空闲抖动，降低被检测风险。
- 交互式录制器与截图工具：CLI 逐步引导录制工作流、框选截图。
- 容错与调试：每步自动截图、从指定步骤恢复、abort/skip/retry 三种错误策略、context 安全取消。
- GBK/UTF-8 自动编码：Windows 中文环境下自动处理路径与 YAML 编码。
当前仅支持 Windows 平台。命令与字段以仓库最新代码为准。
环境准备与构建
| 组件 | 版本要求 | 说明 |
|---|---|---|
| Go | 1.26+ |
https://go.dev/dl/ |
| GCC (MinGW-w64) | x86_64 | 通过 MSYS2 安装 |
| .NET | 10.0+ |
仅 WPF 托盘应用需要 |
| Windows | 10 / 11 | 当前仅支持 Windows |
# 安装 MSYS2 与编译工具链
winget install MSYS2.MSYS2
# 在 MSYS2 终端中：
pacman -S mingw-w64-x86_64-gcc mingw-w64-x86_64-zlib
# 将 C:\msys64\mingw64\bin 加入系统 PATH
首次编译约 4 分钟（需编译 GLFW C 源码），后续增量编译约 1 秒。
# 构建 Go CLI（必需）
.\scripts\build.ps1 # 优化输出（strip 调试信息）
.\scripts\build.ps1 -NoStrip # 调试版本
# 构建 WPF 托盘应用（可选）
cd src\csharp
dotnet build RobotgoFlow.Wpf.sln -c Release
# 构建供 Tray 调用的 Go c-shared DLL
.\scripts\build.ps1 -Dll
CLI 命令
robotgo-flow # 无参数 → 显示帮助
robotgo-flow run <工作流文件> # 执行工作流
robotgo-flow record # 交互式录制工作流
robotgo-flow capture [元素名] # 交互式截取模板
robotgo-flow serve <工作流文件> # JSON-Line 协议服务（供 WPF GUI 调用）
run 参数：
| 参数 | 默认值 | 说明 |
|---|---|---|
--from N |
1（从头） | 从第 N 步开始执行（1-indexed） |
--debug |
false | 每步自动保存截图到输出目录 |
--out dir |
工作流所在目录 | 截图输出目录（默认 screenshots/） |
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.
- 12d ago Changed · +6 lines ddc532cad03f
- 1mo ago Changed 3102426d2b5a
- 1mo ago Changed · +1 lines 88294e415dbe
- 1mo ago First seen · 265 lines · 50 tokens per session scan A 6587cea3fc79
robotgo-flow is a skill published in the GitHub repository znlgis/opengis-skills (75 stars, last pushed 6d ago), licensed MIT. It adds 50 tokens to every session and 3,214 once invoked, about $0.0002 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 2026-09-03.
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