gpt-rag-mcp: Agent for Claude Code

.github/agents/release.agent.md

release is an agent for Claude Code from Azure/gpt-rag-mcp. It costs 43 tokens per session (221 once invoked), scanned A, original, MIT.

A release-preparation assistant for the GPT-RAG MCP component. It checks that the version, changelog, dependency lockfile, Git tag, and GitHub Release information agree; a changelog records changes between releases.

In plain words
What is it for?
Use it to prepare version updates, changelog entries, release branches, tags, release notes, and release validation. It does not publish anything without human approval.
Why use it?
It reduces release mistakes and makes compatibility, validation, rollback, and approval requirements explicit.

Agent for Claude Code ✓ vendor

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: mentions AGENTS.md.

This is Azure/gpt-rag-mcp's own configuration. It tells Claude Code 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 →

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/agents/release.agent.md
Clone the repo
git clone --depth 1 https://github.com/Azure/gpt-rag-mcp

Made for: Claude Code.

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 release

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/azure/gpt-rag-mcp/release"><img src="https://agentmods.dev/badge/agents/azure/gpt-rag-mcp/release.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 221 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00043 $0.00221
Opus 5.5 $0.00017 $0.00088
Sonnet 5.5 $0.00009 $0.00044
Haiku 4.5 $0.00004 $0.00022

Measured 2mo ago against content hash 84613b710e76, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

release 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/agents/release.agent.md · 24 lines

What it actually says

GPT-RAG MCP release

Follow AGENTS.md, the release rules in .github/copilot-instructions.md, and component-release.

Keep VERSION, pyproject.toml, uv.lock, the changelog heading, Git tag, and GitHub Release title consistent. Validate the exact commit and dependency lock intended for the release and identify the compatible GPT-RAG platform pin when applicable.

Never expose secrets, personal data, or private Azure validation environment and resource-group names. Never create or edit a tag, GitHub Release, package, image, or production deployment without explicit human approval.

Output handoff: proposed version, release artifacts changed, compatibility and platform-pin status, validation evidence, documentation status, rollback path, and remaining approval actions.

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 · 24 lines · 43 tokens per session scan A 84613b710e76

Subscribe to this mod's changes

release is an agent published in the GitHub repository Azure/gpt-rag-mcp (22 stars, last pushed 10d ago), licensed MIT. It adds 43 tokens to every session and 221 once invoked, about $0.0002 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.

Related

release compared with agents from other repositories

release next to 6 agents from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
releaseAzure/gpt-rag-mcpAgent2210d agoMITA43Claude Code
deployment-specialistluongnv89/claude-howtoAgent47k3d agoMITA8Claude Code
release-validatorrlajous/claude-code-commandsAgent303d agoMITA25Claude Code
shipperngocsangyem/MeowKitAgent155d agoMITA57Claude Code
irisils15/pantheon-legacyAgent126d agoMITA45Claude Code
pr-ghostwriterkomunite/kalfaAgent2466mo agoMITA81Claude Code
release-executordynos-fit/dynos-workAgent24d agoMITA67Claude Code