Borrowing it
Nothing to install: this file belongs to moonolgerd/game-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/moonolgerd/game-mcp/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/moonolgerd/game-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/moonolgerd/game-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/moonolgerd/game-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/moonolgerd/game-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/moonolgerd/game-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/moonolgerd/game-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 | $0.00989 | $0.00989 |
| Opus 5.5 | $0.00396 | $0.00396 |
| Sonnet 5.5 | $0.00198 | $0.00198 |
| Haiku 4.5 | $0.00099 | $0.00099 |
Grade A, and why
game-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 1mo 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Game Discovery MCP Server - AI Agent Instructions
Architecture Overview
This is a Model Context Protocol (MCP) server built as a single C# script (game-mcp.cs) that discovers installed games across multiple Windows platforms. The project uses:
- Single-file architecture: Everything in
game-mcp.cs(683 lines) - no traditional project structure - Top-level program: Uses C# 9+ top-level statements with inline package references
- MCP framework: Uses
[email protected]with .NET hosting - JSON source generation: Uses
GameJsonContextfor AOT-compatible serialization
Key Patterns & Conventions
MCP Tool Registration Pattern
[McpServerToolType]
public static class GameDiscoveryTools
{
[McpServerTool(Name = "discover_games")]
[Description("...")]
public static async Task<string> DiscoverGames() { ... }
}
Platform Discovery Pattern
Each platform (Steam, Epic, GOG, Xbox, Registry) follows this structure:
- Private
DiscoverXxxGames()method returningList<Game> - Registry/file system scanning with error isolation
- Graceful degradation when platforms unavailable
- Consistent
Gameobject mapping
Error Handling Convention
- Continue on platform errors: Individual platform failures don't break discovery
- Stderr logging: Uses
Console.Error.WriteLine()for debugging without breaking MCP protocol - JSON error responses: All tools return JSON with
ErrorResponsetype for failures
JSON Serialization Approach
- Source generation required: Uses
GameJsonContext.Default.XxxTypepattern - Response classes: Separate DTOs (
GameInfo,GameDiscoveryResult,LaunchResponse,ErrorResponse) - No reflection: AOT-compatible with
[JsonSerializable]attributes
Critical Development Workflows
Running the MCP Server
dotnet run game-mcp.cs # Starts stdio MCP server
VS Code Integration
Configure in .vscode/mcp.json:
{
"servers": {
"game-discovery": {
"type": "stdio",
"command": "dotnet",
"args": ["run", "D:\\Repos\\game-mcp\\game-mcp.cs"]
}
}
}
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.
- 1mo ago First seen · 102 lines · 989 tokens per session scan A 2cc461aa153c
game-mcp copilot-instructions.md is an instructions file published in the GitHub repository moonolgerd/game-mcp (0 stars, last pushed 8mo ago), licensed MIT. It adds 989 tokens to every session, about $0.0040 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 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.