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.
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 microsoft/skills-for-fabric --skill e2e-fabric-cost-estimationgit clone --depth 1 https://github.com/microsoft/skills-for-fabricWrote 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/microsoft/skills-for-fabric/e2e-fabric-cost-estimation)<a href="https://agentmods.dev/skills/microsoft/skills-for-fabric/e2e-fabric-cost-estimation"><img src="https://agentmods.dev/badge/skills/microsoft/skills-for-fabric/e2e-fabric-cost-estimation/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/microsoft/skills-for-fabric/e2e-fabric-cost-estimation"><img src="https://agentmods.dev/badge/skills/microsoft/skills-for-fabric/e2e-fabric-cost-estimation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 76 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00067 | $0.10525 |
| Opus 5 | $0.00034 | $0.05262 |
| Sonnet 5 | $0.00013 | $0.02105 |
| Haiku 4.5 | $0.00007 | $0.01052 |
Grade A, and why
e2e-fabric-cost-estimation scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://prices.azure.com/api/retail/prices?api-version=2023-01-01-preview&\$filter=serviceName%20eq%20'Microsoft%20Fabric'%20and%20armRegionName%20eq%20'<region>'" | jq '.Items[] | {meterName, retailPrice, unitO How it starts
The opening of the file, as written. The whole thing — 589 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Telemetry — MANDATORY. Every
api.fabric.microsoft.comcall must carryx-ms-fabric-skill: e2e-fabric-cost-estimation(az rest:--headers "x-ms-fabric-skill=e2e-fabric-cost-estimation"), including every LRO poll,fabric_lroand retry. Snippets omit it — add it anyway.
CRITICAL NOTES
- To find the workspace details (including its ID) from workspace name: list all workspaces and, then, use JMESPath filtering
- To find the item details (including its ID) from workspace ID, item type, and item name: list all items of that type in that workspace and, then, use JMESPath filtering
- Pricing is region-specific. Always resolve the capacity's Azure region (via the Fabric REST
GET /v1/capacities, which returnsregion/sku/state, or via ARM) or ask the user before any price lookup, and state the region with every quoted figure.
🔴 MANDATORY LIVE-PRICING FETCH — whenever your answer contains a dollar figure. Before presenting any dollar amount, cost, break-even point, billing-mode comparison, RI-vs-PAYG analysis, migration cost, or cost worksheet, you must run a shell command (
bash/powershell) that calls the Azure Retail Prices API athttps://prices.azure.com/api/retail/prices. This applies without exception to every priced answer — Databricks/Synapse migration cost, Autoscale vs. base-SKU break-even, RI-vs-PAYG break-even, cost worksheets, and billing-mode strategy. Fetch the live per-CU-hour PAYG rate (priceType eq 'Consumption',* Capacity Usage CUmeters), the reservation term totals, and theautoscale for Spark Capacity Usage CUrate first, then compute. Never answer a priced question from memorized or hardcoded rates, and never reason about break-even purely from formulas. If the meter lookup returns no rows, surface that to the user — never silently fall back to a hardcoded rate (e.g., do not assume$0.18/CU-hrfor Autoscale; the Autoscale meter is a distinct rate that must be fetched). Exception — pure capacity sizing: a question answered purely in capacity units with no dollar figure (e.g., "which SKU fits 80 CUs?" or "how many CUs does a P2 map to?") is CU math, not pricing, and does not require a fetch. The moment you attach a dollar amount to that sizing answer, the fetch becomes mandatory.
🟠 CLARIFY FIRST, THEN ACT — do not assume defaults. A priced request needs two inputs before you can fetch or compute: the Azure region and the workload profile (e.g. CU-hours/day, node/job details, or the source cluster sizes for a migration). If either is missing, your first response must ask the user for the missing input(s) and STOP — do not pick a default region (never assume
East USor any other region to "get started"), do not call the pricing API, and do not produce estimates from assumed values. Only after the user supplies the missing inputs do you fetch live prices and compute. Asking is the correct behavior even though the mandatory-fetch rule applies to the eventual priced answer.
🔴 AUTOSCALE RATE IS A DISTINCT METER — never reuse the base/PAYG rate for it. The
autoscale for Spark Capacity Usage CUmeter is a separate price from the base* Capacity Usage CUPAYG rate. You must fetch it with its own API call and read the returnedretailPrice. It is a correctness bug to assign the base/PAYG rate (or a memorized figure such as0.18) to an autoscale variable — e.g.autoscaleRate = paygRateorautoscaleRate = 0.18is forbidden. If the autoscale meter lookup returns no rows, list all Fabric Spark meters for the region and surface that to the user; never substitute the base rate.
Fabric Cost Estimation
What ships with it
2 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 · 589 lines · 67 tokens per session scan A 835f35830c6a
e2e-fabric-cost-estimation is a skill published in the GitHub repository microsoft/skills-for-fabric (1,140 stars, last pushed today), licensed MIT. It adds 67 tokens to every session and 10,525 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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