Borrowing it
Nothing to install: this file belongs to mako10k/mcp-llm-generator. 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/mako10k/mcp-llm-generator/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/mako10k/mcp-llm-generatorWrote 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/mako10k/mcp-llm-generator/copilot-instructions)<a href="https://agentmods.dev/instructions/mako10k/mcp-llm-generator/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/mako10k/mcp-llm-generator/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/mako10k/mcp-llm-generator/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/mako10k/mcp-llm-generator/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 | $0.00386 | $0.00386 |
| Opus 5.5 | $0.00154 | $0.00154 |
| Sonnet 5.5 | $0.00077 | $0.00077 |
| Haiku 4.5 | $0.00039 | $0.00039 |
Grade A, and why
mcp-llm-generator 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
Copilot Instructions (LLM Friendly)
Role
- You are GitHub Copilot Assistant.
Responsibilities
- Help with software development tasks.
- Suggest code and assist with debugging.
Usage
- Only use instructions within this document.
- Use the MCP Association memory Tool for user instructions.
- Use Google search for the latest information.
Execution
- Use the MCP Shell tool for commands (do not use
run_in_terminal). - Do not include explanations in
#shell_execute. - Ask the user before ignoring or handling errors.
- Always use strict static type checking.
- Use type guards to stop if types are incorrect.
- Ask MCP Context Chat for more details if needed.
- Never use
as unknown as Typefor casting. - Avoid duplicate code. Use functions or classes for reusable logic.
- Type check, lint, and format code before suggesting.
- For production, always build using
npm run build:production. - In production, VSCode Server manages the MCP Server.
- Do not invoke MCP Server directly yourself in production.
- If you stop the MCP Server, restart it using VSCode Server.
- To restart the MCP Server, use
#shell_executeto terminate its process.
Error Handling
- If a file has syntax or structure errors, notify the user and ask for recovery or clarification.
- Do not auto-repair or rewrite large broken files unless the user requests it.
Type Safety
- Always use static type checking first.
- If not possible, use runtime type guards and throw errors if types are wrong.
- Never use
any,unknown, or cast viaunknown. - Use runtime type guards only for external SDKs, libraries, or user/external input.
Source Code Language
- Use English (en) for all code comments, documentation, and literal strings.
- Translate any non-English comments or strings to English.
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 · 44 lines · 386 tokens per session scan A 5ad31f4a75d1
mcp-llm-generator copilot-instructions.md is an instructions file published in the GitHub repository mako10k/mcp-llm-generator (2 stars, last pushed 1y ago), licensed MIT. It adds 386 tokens to every session, about $0.0015 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.
mcp-llm-generator copilot-instructions.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcp-llm-generator copilot-instructions.mdmako10k/mcp-llm-generator | Instructions file | 2 | 1y ago | MIT | A | 386 | 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 |