skills-for-fabric: Instructions file for Gemini CLI

GEMINI.md

skills-for-fabric GEMINI.md is an instructions file for Gemini CLI from microsoft/skills-for-fabric. It costs 99 tokens per session, scanned A, original, MIT.

A set of instructions for using Microsoft Fabric development skills and connected tools from Gemini CLI. Gemini CLI is a command-line interface for Google's Gemini assistant.

In plain words
What is it for?
Use it when operating on the microsoft/skills-for-fabric project through Gemini CLI, VS Code, or Claude.
Why use it?
It gives that assistant project-specific guidance for working with Microsoft Fabric instead of describing a general coding workflow.

Instructions file for Gemini CLI ✓ vendor

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions AGENTS.md; mentions Gemini CLI.

This is microsoft/skills-for-fabric's own configuration. It tells Gemini CLI how to work on skills-for-fabric 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 skills-for-fabric configures →

About the project

Microsoft Fabric Skills is a collection of reusable instructions and MCP systems that help AI assistants work with Microsoft Fabric workloads, APIs, queries, and operations. It is intended for users of GitHub Copilot CLI and compatible coding tools; the catalogue entries are the skills, agents, instructions, MCP systems, plugins, and rules distributed by the project.

microsoft/skills-for-fabric · 1,116 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to microsoft/skills-for-fabric. 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/microsoft/skills-for-fabric/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/microsoft/skills-for-fabric

Made for: Gemini CLI.

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 skills-for-fabric GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/microsoft/skills-for-fabric/gemini-md.svg)](https://agentmods.dev/instructions/microsoft/skills-for-fabric/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/microsoft/skills-for-fabric/gemini-md"><img src="https://agentmods.dev/badge/instructions/microsoft/skills-for-fabric/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 99 This file is loaded in full into every session.
When invoked 99 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 $0.00099 $0.00099
Opus 5 $0.00049 $0.00049
Sonnet 5 $0.00020 $0.00020
Haiku 4.5 $0.00010 $0.00010

Measured 8d ago against content hash 62e1297eb064, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

skills-for-fabric GEMINI.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 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.

GEMINI.md · 9 lines

What it actually says

Microsoft Fabric Development Agent (Gemini CLI)

@./AGENTS.md

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. 8d ago First seen · 9 lines · 99 tokens per session scan A 62e1297eb064

Subscribe to this mod's changes

skills-for-fabric GEMINI.md is an instructions file published in the GitHub repository microsoft/skills-for-fabric (1,116 stars, last pushed yesterday), licensed MIT. It adds 99 tokens to every session, about $0.0005 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.

Related

Other instructions, from other repositories

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 tokens