frc-rag-mcpserver: Instructions file for GitHub Copilot

.github/copilot-instructions.md

frc-rag-mcpserver copilot-instructions.md is an instructions file for GitHub Copilot from ramalamadingdong/frc-rag-mcpserver. It costs 510 tokens per session, scanned A, original, BSD-3-Clause.

Repository instructions for a FIRST Robotics Competition robot project using WPILib, the official framework for building robot software. They require checking the project's documentation service before answering WPILib questions.

In plain words
What is it for?
Use them when answering or changing code involving WPILib, robot commands, subsystems, autonomous routines or other FRC programming.
Why use it?
They reduce the risk of giving outdated or incorrect advice about robot APIs and programming patterns by requiring verified documentation first.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is ramalamadingdong/frc-rag-mcpserver's own configuration. It tells GitHub Copilot how to work on frc-rag-mcpserver itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything frc-rag-mcpserver configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ramalamadingdong/frc-rag-mcpserver. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ramalamadingdong/frc-rag-mcpserver/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/ramalamadingdong/frc-rag-mcpserver

Made for: GitHub Copilot.

Wrote this? Show the measurements

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Per session 510 This file is loaded in full into every session.
When invoked 510 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00510 $0.00510
Opus 5.5 $0.00204 $0.00204
Sonnet 5.5 $0.00102 $0.00102
Haiku 4.5 $0.00051 $0.00051

Measured 2mo ago against content hash d7396eb49a04, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

frc-rag-mcpserver 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.

.github/copilot-instructions.md · 56 lines

What it actually says

GitHub Copilot Instructions

⚠️ CRITICAL - READ THIS FIRST ⚠️ ═══════════════════════════════════════════════════════════════════════════════

🛑 MANDATORY REQUIREMENT - NO EXCEPTIONS 🛑

Before answering ANY question about:

  • WPILib APIs, classes, methods, or syntax
  • Robot code (commands, subsystems, autonomous)
  • FRC programming patterns or best practices
  • Command-based programming
  • Any WPILib framework functionality

YOU MUST:

  1. STOP - Do not answer from memory or training data
  2. QUERY - Use mcp_wpilibrag_query_wpilib_docs tool FIRST
  3. VERIFY - Base your answer on the retrieved documentation
  4. CITE - Reference the official WPILib documentation

This is NOT optional. This is a MANDATORY step for ALL WPILib-related questions.

═══════════════════════════════════════════════════════════════════════════════

Project Context

This is a WPILib robotics project for FRC (FIRST Robotics Competition).

Project Configuration

  • WPILib Version: [SPECIFY VERSION HERE - e.g., 2025.1.1]
  • Programming Language: [SPECIFY LANGUAGE HERE - Java/C++/Python]
  • Target Platform: FRC Robot (roboRIO)

WPILib RAG Server Usage

  • Tool Name: mcp_wpilibrag_query_wpilib_docs
  • When to Use: ALWAYS for any WPILib-related question (see mandatory requirement above)
  • Parameters:
    • question: The user's question
    • version: WPILib version (default: "2025")
    • language: "Java", "Python", "C++", or "API Reference"

Preferences

  • Follow WPILib best practices and conventions
  • Use appropriate design patterns for robot code (Command-based, subsystems, etc.)
  • Ensure thread safety when necessary
  • Include proper error handling and logging
  • Reference official WPILib documentation for all framework-specific code

Code Style

  • Write clear, maintainable code
  • Add comments for complex logic but avoid over-commenting
  • Use descriptive variable and method names
  • Follow FRC/WPILib naming conventions

Additional Notes

  • Remember to consider real-time constraints for robot code
  • Always consider competition requirements and rules
Changes

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.

  1. 2mo ago First seen · 56 lines · 510 tokens per session scan A d7396eb49a04

Subscribe to this mod's changes

frc-rag-mcpserver copilot-instructions.md is an instructions file published in the GitHub repository ramalamadingdong/frc-rag-mcpserver (18 stars, last pushed 11mo ago), licensed BSD-3-Clause. It adds 510 tokens to every session, about $0.0020 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.

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