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 azmon-mirroredcatalogs-operations-cligit 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/azmon-mirroredcatalogs-operations-cli)<a href="https://agentmods.dev/skills/microsoft/skills-for-fabric/azmon-mirroredcatalogs-operations-cli"><img src="https://agentmods.dev/badge/skills/microsoft/skills-for-fabric/azmon-mirroredcatalogs-operations-cli/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/azmon-mirroredcatalogs-operations-cli"><img src="https://agentmods.dev/badge/skills/microsoft/skills-for-fabric/azmon-mirroredcatalogs-operations-cli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, 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 Excessive Agency · line 91 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Data Exfiltration · line 143 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.
- medium Data Exfiltration · line 159 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.
- medium Data Exfiltration · line 313 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.
- medium Data Exfiltration · line 329 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.
- medium Data Exfiltration · line 330 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 | $0.00066 | $0.12031 |
| Opus 5 | $0.00033 | $0.06016 |
| Sonnet 5 | $0.00013 | $0.02406 |
| Haiku 4.5 | $0.00007 | $0.01203 |
Grade A, and why
azmon-mirroredcatalogs-operations-cli 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 12d 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 — 1,094 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: azmon-mirroredcatalogs-operations-cli(az rest:--headers "x-ms-fabric-skill=azmon-mirroredcatalogs-operations-cli"), including every LRO poll,fabric_lroand retry. Snippets omit it — add it anyway.
azmon-mirroredcatalogs-operations-cli
Guide a user end-to-end to (1) onboard Azure Monitor / Application Insights / Log Analytics observability data into Microsoft Fabric as a Mirrored Catalog (AzMon) item, and (2) turn that telemetry into business-impact insights by correlating observability signals with business data (bookings, orders, customers, flights, payments, revenue, tenants, accounts, subscriptions, usage KPIs, SLA/availability KPIs), ending in ready-to-paste Operations Agent instructions.
This is a self-contained Skills-for-Fabric package. It does not depend on
any MCP server or tool controller as the execution mechanism. Product/API
knowledge, supported flows, guardrails, and modeling rules live in this file and
in references/*.md.
Prerequisite Knowledge
Before running this skill, read the shared common guidance:
Trigger phrases
- onboard Azure Monitor data into Fabric
- create Azure Monitor item in Fabric
- connect Application Insights to Fabric
- correlate App Insights telemetry with business data
- onboard my LA workspace to Fabric
- onboard Log Analytics workspace to Fabric
- connect Log Analytics workspace to Fabric
- understand if service availability impacted bookings
- understand if latency impacted conversion
- correlate exceptions with revenue or orders
- build Operations Agent for Azure Monitor business impact
- create business impact insights from Log Analytics data
When to use this skill (and related skills)
azmon-mirroredcatalogs-operations-cli is for onboarding Azure Monitor /
Application Insights / Log Analytics telemetry into Microsoft Fabric
(mirroredCatalogs endpoint), correlating that telemetry with business data, and
generating Operations Agent instructions. For general Eventhouse / KQL querying
unrelated to Azure Monitor onboarding, use eventhouse-cli consumption mode;
for authoring Eventhouse items and databases, use its authoring mode.
What ships with it
11 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.
- references/app-insights-dynamic-fields-reference.md 5.8 KB
- references/azmon-fabric-api-reference.md 15 KB
- references/business-analysis-workflow.md 18 KB
- references/dashboard-reference.md 6.8 KB
- references/eventhouse-shortcuts-reference.md 8.8 KB
- references/mirrored-catalog-reference.md 5.5 KB
- references/oauth-connection-reference.md 2.2 KB
- references/operations-agent-reference.md 11 KB
- references/telemetry-table-reference.md 9.8 KB
- references/workspace-discovery-policy-reference.md 3.1 KB
- references/workspace-identity-connection-reference.md 4.6 KB
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.
- 12d ago First seen · 1,094 lines · 66 tokens per session scan A d5d3bc90dc47
azmon-mirroredcatalogs-operations-cli is a skill published in the GitHub repository microsoft/skills-for-fabric (1,147 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 12,031 once invoked, about $0.0003 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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