Borrowing it
Nothing to install: this file belongs to shanselman/FlaUI-MCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/shanselman/FlaUI-MCP/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/shanselman/FlaUI-MCPWrote 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/instructions/shanselman/flaui-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/shanselman/flaui-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/shanselman/flaui-mcp/copilot-instructions/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/instructions/shanselman/flaui-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/shanselman/flaui-mcp/copilot-instructions.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 | $0.02495 | $0.02495 |
| Opus 5.5 | $0.00998 | $0.00998 |
| Sonnet 5.5 | $0.00499 | $0.00499 |
| Haiku 4.5 | $0.00249 | $0.00249 |
Grade A, and why
FlaUI-MCP copilot-instructions.md 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 2mo 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 — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Windows App Automation MCP Server
An MCP server that lets AI agents interact with Windows desktop applications using the same patterns as Playwright's browser automation - structured accessibility snapshots with element refs, not screenshot-based guessing.
Why MCP Server (not CLI or library)
| Approach | Agent Experience |
|---|---|
| MCP Server | windows_snapshot → structured tree with refs → windows_click ref="btn7" ✅ |
| CLI exe | Run command → parse text output → figure out element IDs → run another command |
| Screenshot-only | Take screenshot → vision model guesses coordinates → hope click lands |
The Playwright MCP pattern works extremely well for agents:
browser_snapshotreturns an accessibility tree with refs like[ref=s1e5]- Agent picks element by semantic meaning, not coordinates
browser_click ref="s1e5"is precise and reliable
This project brings that same pattern to Windows desktop apps.
Architecture
┌─────────────────────────────────────────────────────────────────┐
│ AI Agent (GitHub Copilot, Claude, etc.) │
│ - Calls MCP tools: windows_snapshot, windows_click, etc. │
│ - Sees structured element tree, picks refs by meaning │
└─────────────────────────────────────────────────────────────────┘
│ MCP Protocol (JSON-RPC over stdio)
▼
┌─────────────────────────────────────────────────────────────────┐
│ Windows MCP Server (.NET / FlaUI) │
│ - Implements MCP tool handlers │
│ - Translates UI Automation tree → agent-friendly snapshot │
│ - Manages element refs ↔ AutomationElement mapping │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ FlaUI (.NET) - github.com/FlaUI/FlaUI │
│ - UIA3Automation (WPF, UWP, Store Apps, modern Win32) │
│ - UIA2Automation (fallback for older WinForms) │
│ - Handles platform quirks, control patterns, tree walking │
└─────────────────────────────────────────────────────────────────┘
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.
- 2mo ago First seen · 318 lines · 2,495 tokens per session scan A 785af3172e74
FlaUI-MCP copilot-instructions.md is an instructions file published in the GitHub repository shanselman/FlaUI-MCP (110 stars, last pushed 4mo ago), licensed MIT. It adds 2,495 tokens to every session, about $0.0100 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.
FlaUI-MCP copilot-instructions.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| FlaUI-MCP copilot-instructions.mdshanselman/FlaUI-MCP | Instructions file | 110 | 4mo ago | MIT | A | 2,495 | GitHub Copilot |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |