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.
npx skills add PatrickGallucci/fabric-skills --skill fabric-iqgit clone --depth 1 https://github.com/PatrickGallucci/fabric-skillsWrote 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/patrickgallucci/fabric-skills/fabric-iq)<a href="https://agentmods.dev/skills/patrickgallucci/fabric-skills/fabric-iq"><img src="https://agentmods.dev/badge/skills/patrickgallucci/fabric-skills/fabric-iq/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.
<a href="https://agentmods.dev/skills/patrickgallucci/fabric-skills/fabric-iq"><img src="https://agentmods.dev/badge/skills/patrickgallucci/fabric-skills/fabric-iq.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00104 | $0.01730 |
| Opus 5 | $0.00052 | $0.00865 |
| Sonnet 5 | $0.00021 | $0.00346 |
| Haiku 4.5 | $0.00010 | $0.00173 |
Grade A, and why
fabric-iq 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microsoft Fabric IQ
Fabric IQ (preview) is a Fabric workload for unifying data across OneLake and organizing it according to your business vocabulary. It exposes data to analytics, AI agents, and applications with consistent semantic meaning and context.
When to Use This Skill
- Creating or managing ontology items in Fabric IQ
- Defining entity types, properties, and relationship types
- Binding data from lakehouses, eventhouses, or semantic models to ontologies
- Generating ontologies from Power BI semantic models
- Configuring Fabric data agents with ontology as a source
- Working with Graph in Microsoft Fabric for traversals and graph queries
- Enabling Fabric IQ tenant settings in the admin portal
- Querying ontology graphs using the preview experience
- Building operations agents that reason across business concepts
- remediate ontology creation, data binding, or agent integration issues
- Automating Fabric IQ items via REST API or PowerShell
Prerequisites
- A Fabric workspace with a Microsoft Fabric-enabled capacity (F2+ or P1+)
- Required tenant settings enabled (see tenant-settings.md)
- Data in OneLake (lakehouse tables), an eventhouse, or Power BI semantic models
Fabric IQ Items Overview
Fabric IQ contains five items that work together:
| Item | Purpose | Shared With |
|---|---|---|
| Ontology (preview) | Enterprise vocabulary and semantic layer — entity types, relationships, properties, data bindings | IQ only |
| Graph in Microsoft Fabric (preview) | Native graph storage/compute for nodes, edges, traversals, path finding | Real-Time Intelligence |
| Fabric data agent (preview) | Conversational Q&A using generative AI, grounded in ontology | Data Science |
| Operations agent (preview) | AI agent to monitor real-time data and recommend actions | Real-Time Intelligence |
| Power BI semantic model | Curated analytics model for reporting and DAX | Power BI |
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 166 lines · 104 tokens per session scan A 886faed45840
fabric-iq is a skill published in the GitHub repository PatrickGallucci/fabric-skills (16 stars, last pushed 3mo ago), licensed MIT. It adds 104 tokens to every session and 1,730 once invoked, 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.
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