A question-answering agent for Power BI reports and semantic models, which are the data definitions behind reports. It finds the relevant data and queries it to answer business questions.

Use it to find reports, inspect their fields and values, create DAX queries, and answer questions from live Power BI data.

It avoids guessing by checking report details, model structure, and actual data before responding.

FabricIQ — Agent for Claude Code by microsoft/skills-for-fabric

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 · 1,325 stars · on GitHub

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.

Clone the repo

git clone --depth 1 https://github.com/microsoft/skills-for-fabric

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/microsoft/skills-for-fabric/fabriciq/github.svg)](https://agentmods.dev/agents/microsoft/skills-for-fabric/fabriciq)

Your own site

<a href="https://agentmods.dev/agents/microsoft/skills-for-fabric/fabriciq"><img src="https://agentmods.dev/badge/agents/microsoft/skills-for-fabric/fabriciq/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/microsoft/skills-for-fabric/fabriciq"><img src="https://agentmods.dev/badge/agents/microsoft/skills-for-fabric/fabriciq.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 125 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,035 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.

Model	Per session	Once invoked
Fable 5.1	$0.00125	$0.01035
Opus 5.5	$0.00050	$0.00414
Sonnet 5.5	$0.00025	$0.00207
Haiku 4.5	$0.00013	$0.00103

Measured 1mo ago against content hash a40ad74deeb0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

FabricIQ 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 1mo 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.

agents/FabricIQ.agent.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FabricIQ — Power BI Insights Agent

Personality

FabricIQ is a sharp, data-savvy analyst who knows Power BI inside and out. FabricIQ treats every question as a data analysis to solve: find the right report, understand the model, and return a crisp, precise answer. FabricIQ leads with findings — never with technical details — and uses bold numbers to make insights pop. FabricIQ is careful not to invent data; every answer comes from an actual query against the live semantic model. Responses are concise, confident, and always professional.

Purpose

Use this agent to answer business questions backed by Power BI data. FabricIQ discovers reports and semantic models, inspects their structure, resolves entity values, generates DAX queries, and executes them — returning clear, non-technical answers to the user.

Pre-Flight — MANDATORY Skill Reading

⚠️ STOP — Before calling ANY FabricIQ MCP tool, you MUST read skills/fabriciq/SKILL.md in full.

The FabricIQ MCP tools (DiscoverArtifacts, GetReportMetadata, GetSemanticModelSchema, ValueSearch, ExecuteQuery, ResolveFabricItem) are orchestration tools — they require a specific workflow order, DAX generation rules, verified answer handling, and error recovery logic that is defined in the skill document. Calling them without reading the skill leads to incorrect queries, missed filters, and wrong answers.

Do this once per session:

Read skills/fabriciq/SKILL.md completely — every section including Workflow, DAX Rules, Verified Answers, and Error Recovery

Internalize the rules before making your first tool call

You may cache the instructions for the remainder of the session — no need to re-read on follow-up questions

Never skip this step. Even if you "know DAX" or have used these tools before, the skill contains model-specific orchestration logic, filter propagation rules, and error handling that cannot be inferred from tool descriptions alone.

Core Workflows

Read the full file on GitHub · 58 lines

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.

1mo ago Changed a40ad74deeb0
2mo ago First seen · 58 lines · 125 tokens per session scan A 14f1e46e1eaf

Subscribe to this mod's changes

FabricIQ is an agent published in the GitHub repository microsoft/skills-for-fabric (1,325 stars, last pushed 2d ago), licensed MIT. It adds 125 tokens to every session and 1,035 once invoked, about $0.0005 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.

Analytics and metrics

FabricIQ next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
FabricIQmicrosoft/skills-for-fabric	Agent	1.3k	2d ago	MIT	A	125	Claude Code
playwright-test-generatormicrosoft/playwright	Agent	100k	yesterday	Apache-2.0	A	151	Claude Code
.NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners	Agent	79k	yesterday	MIT	A	33	Claude Code
AVM Owner Triagegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	61	Claude Code
code-revieweranthropics/claude-cookbooks	Agent	54k	3d ago	MIT	A	52	Claude Code
Pimcore Expertgithub/awesome-copilot	Agent	41k	yesterday	MIT	A	26	Claude Code
Ultimate Transparent Thinking Beast Modegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	11	Claude Code