gpt-rag-mcp documentation.instructions.md

gpt-rag-mcp documentation.instructions.md is an instructions file for GitHub Copilot from Azure/gpt-rag-mcp. It costs 230 tokens per session, scanned A, original, MIT.

Documentation rules for the Azure/gpt-rag-mcp repository, covering its service, setup, deployment, troubleshooting, and contribution documents.

In plain words
What is it for?
Use them when updating README.md, troubleshooting guidance, deployment instructions, or documentation for the MCP service.
Why use it?
They keep instructions accurate and place operational, security, and policy information in the right files.

Instructions file for GitHub Copilot

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/azure/gpt-rag-mcp/documentation
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 documentation.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/azure/gpt-rag-mcp/documentation.svg)](https://agentmods.dev/instructions/azure/gpt-rag-mcp/documentation)
Your own site
<a href="https://agentmods.dev/instructions/azure/gpt-rag-mcp/documentation"><img src="https://agentmods.dev/badge/instructions/azure/gpt-rag-mcp/documentation.svg" alt="Measured on agentmods" height="20"></a>
Per session 230 This file is loaded in full into every session.
When invoked 230 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00230 $0.00230
Opus 5 $0.00115 $0.00115
Sonnet 5 $0.00046 $0.00046
Haiku 4.5 $0.00023 $0.00023

Measured 3d ago against content hash 60abf309674a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gpt-rag-mcp documentation.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 3d 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/documentation.instructions.md · 22 lines

What it actually says

Repository documentation

  • Describe the current FastMCP and Starlette service and the orchestrator mcp strategy; do not restore legacy runtime terminology.
  • Keep service setup, deployment, and Inspector guidance in README.md and operational diagnosis in TROUBLESHOOTING.md.
  • Keep contribution, security, support, and conduct policy in their dedicated files rather than duplicating it.
  • Verify commands, paths, endpoints, configuration keys, labels, and defaults against executable repository sources.
  • Link to the published GPT-RAG documentation instead of copying broad product guidance into this component repository.
  • Coordinate changes on the docs branch of Azure/GPT-RAG when this component changes umbrella deployment, configuration, or user experience.
  • Never put secrets, personal data, or private Azure validation environment and resource-group names in examples.
  • Follow SECURITY.md; do not direct vulnerability reports to public issues.
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. 3d ago First seen · 22 lines · 230 tokens per session scan A 60abf309674a

Subscribe to this mod's changes

gpt-rag-mcp documentation.instructions.md is an instructions file published in the GitHub repository Azure/gpt-rag-mcp (22 stars, last pushed 28d ago), licensed MIT. It adds 230 tokens to every session, about $0.0011 per session on Opus 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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