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.
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.
curl -O https://raw.githubusercontent.com/Azure/gpt-rag-mcp/main/.github/skills/component-release/SKILL.mdgit clone --depth 1 https://github.com/Azure/gpt-rag-mcpWrote 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/skills/azure/gpt-rag-mcp/component-release)<a href="https://agentmods.dev/skills/azure/gpt-rag-mcp/component-release"><img src="https://agentmods.dev/badge/skills/azure/gpt-rag-mcp/component-release.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.00343 |
| Opus 5 | $0.00019 | $0.00171 |
| Sonnet 5 | $0.00008 | $0.00069 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
component-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 8d 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
GPT-RAG MCP component release
Read .github/copilot-instructions.md completely before changing a release
artifact.
- Determine the semantic version and create
release/x.y.zfrom currentmain. - Set
VERSIONandproject.versioninpyproject.tomltoX.Y.Z. - Regenerate
uv.lockfrom the exact committed project metadata and inspect dependency changes. - Add
## [vX.Y.Z] - YYYY-MM-DDtoCHANGELOG.mdwith accurate Keep a Changelog categories. - Validate the exact release commit with the narrowest existing checks, startup or Inspector behavior as applicable, and a container build when dependency or packaging risk requires it.
- Confirm whether
Azure/GPT-RAGmust update its MCP component pin and link the coordinated change. - Target the release pull request to
main. - Use exactly
vX.Y.Zfor the Git tag and GitHub Release title. - Review release notes for secrets, personal data, and private Azure validation environment or resource-group names.
- Re-fetch the published release and verify title, tag, body formatting, and target commit.
Do not publish a tag, release, package, image, or production deployment without explicit human approval. Report missing validation or incompatible platform pins as blockers rather than filling gaps by assumption.
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.
- 8d ago First seen · 33 lines · 39 tokens per session scan A 21bc770648f5
component-release is a skill published in the GitHub repository Azure/gpt-rag-mcp (22 stars, last pushed 6d ago), licensed MIT. It adds 39 tokens to every session and 343 once invoked, about $0.0002 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.
Other skills, from other repositories
release-announcement
Write a release announcement — changelog, blog post, in-app note, or social post — that leads with user impact, names the audience, and includes upgrade/migration steps without filler.
agent-release-swarm
Agent skill for release-swarm - invoke with $agent-release-swarm.
multi-agent-release-manager
Cleans up the workspace, formats code, runs presubmit checks, and uploads CLs to Gerrit.
release-notes
Generate user-facing release notes from tickets, PRDs, or changelogs. Creates clear, engaging summaries organized by category (new features, improvements, fixes). Use when writing release notes, creating changelogs, announcing product updates, or summarizing what shipped.
pack-submit
Package one of this agent's own skills as a standalone community pack and submit it to the aeon registry as a PR.
updater_guide
Guidance for checking for and installing Row-Bot updates.