agentmods.dev

gpt-rag-mcp: Instructions file for GitHub Copilot

.github/instructions/agentic-assets.instructions.md

gpt-rag-mcp agentic-assets.instructions.md is an instructions file for GitHub Copilot from Azure/gpt-rag-mcp. It costs 189 tokens per session, scanned A, original, MIT.

Repository instructions for creating and maintaining coding-agent assets such as agents, skills, and scoped instructions. They define naming, file-format, organization, and validation rules for the Azure GPT-RAG MCP project.

In plain words
What is it for?
Use them when adding or editing agent definitions, reusable skills, project instructions, or related documentation, then validate the assets before committing.
Why use it?
They help keep these instructions understandable, consistent, and separate from the project's runtime tools and prompts.

Instructions file for GitHub Copilot ✓ vendor

Written for GitHub Copilot: a Copilot instructions file. Also seen: mentions AGENTS.md.

This is Azure/gpt-rag-mcp's own configuration. It tells GitHub Copilot how to work on gpt-rag-mcp 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 gpt-rag-mcp configures →

not rated 22repo 10d ago A scan 189 tokens original MIT
View source ↗ Azure/gpt-rag-mcp
About the project

Azure/gpt-rag-mcp is a Python server that exposes GPT-RAG capabilities through the Model Context Protocol. It is deployed with Azure resources and consumed by GPT-RAG through its MCP strategy, while the catalogue provides instructions, skills, and agents for operating it.

Azure/gpt-rag-mcp · 22 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to Azure/gpt-rag-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.

Copy the file
curl -O https://raw.githubusercontent.com/Azure/gpt-rag-mcp/main/.github/instructions/agentic-assets.instructions.md
Clone the repo
git clone --depth 1 https://github.com/Azure/gpt-rag-mcp

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for gpt-rag-mcp agentic-assets.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/azure/gpt-rag-mcp/agentic-assets/github.svg)](https://agentmods.dev/instructions/azure/gpt-rag-mcp/agentic-assets)
Your own site
<a href="https://agentmods.dev/instructions/azure/gpt-rag-mcp/agentic-assets"><img src="https://agentmods.dev/badge/instructions/azure/gpt-rag-mcp/agentic-assets/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.

agentmods 80×15 button for gpt-rag-mcp agentic-assets.instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/azure/gpt-rag-mcp/agentic-assets"><img src="https://agentmods.dev/badge/instructions/azure/gpt-rag-mcp/agentic-assets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 189 This file is loaded in full into every session.
When invoked 189 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 $0.00189 $0.00189
Opus 5.5 $0.00076 $0.00076
Sonnet 5.5 $0.00038 $0.00038
Haiku 4.5 $0.00019 $0.00019

Measured 2mo ago against content hash e3219a31647c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gpt-rag-mcp agentic-assets.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/instructions/agentic-assets.instructions.md · 17 lines

What it actually says

Copilot engineering assets

  • These assets govern repository engineering and do not define runtime MCP tools, resources, or prompts.
  • Keep AGENTS.md stable and repository-wide; put procedures in skills and path-specific rules in scoped instructions.
  • Use lowercase kebab-case names and valid YAML frontmatter for agents and skills. Keep descriptions specific enough for automatic selection.
  • Keep agents focused on a role and skills focused on a reusable procedure.
  • Do not copy product runtime prompts or tool implementations into .github/.
  • Preserve local links and run python .github/scripts/validate-agentic-assets.py after every asset change.
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 · 17 lines · 189 tokens per session scan A e3219a31647c

Subscribe to this mod's changes

gpt-rag-mcp agentic-assets.instructions.md is an instructions file published in the GitHub repository Azure/gpt-rag-mcp (22 stars, last pushed 10d ago), licensed MIT. It adds 189 tokens to every session, about $0.0008 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.

Building agents
Related

gpt-rag-mcp agentic-assets.instructions.md compared with instructions from other repositories

gpt-rag-mcp agentic-assets.instructions.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
gpt-rag-mcp agentic-assets.instructions.mdAzure/gpt-rag-mcpInstructions file2210d agoMITA189GitHub Copilot
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode