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.
curl -O https://raw.githubusercontent.com/ramalamadingdong/frc-rag-mcpserver/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/ramalamadingdong/frc-rag-mcpserverWrote 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/ramalamadingdong/frc-rag-mcpserver/copilot-instructions)<a href="https://agentmods.dev/instructions/ramalamadingdong/frc-rag-mcpserver/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ramalamadingdong/frc-rag-mcpserver/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/ramalamadingdong/frc-rag-mcpserver/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ramalamadingdong/frc-rag-mcpserver/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 | $0.00510 | $0.00510 |
| Opus 5.5 | $0.00204 | $0.00204 |
| Sonnet 5.5 | $0.00102 | $0.00102 |
| Haiku 4.5 | $0.00051 | $0.00051 |
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.
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:
- STOP - Do not answer from memory or training data
- QUERY - Use
mcp_wpilibrag_query_wpilib_docstool FIRST - VERIFY - Base your answer on the retrieved documentation
- 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 questionversion: 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
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 · 56 lines · 510 tokens per session scan A d7396eb49a04
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.
frc-rag-mcpserver copilot-instructions.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| frc-rag-mcpserver copilot-instructions.mdramalamadingdong/frc-rag-mcpserver | Instructions file | 18 | 11mo ago | BSD-3-Clause | A | 510 | GitHub Copilot |
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| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |